CRANberries

Tue, 19 May 2026

New package smsncut with initial version 0.1.0
Package: smsncut
Title: Optimal Diagnostic Cutoff Selection under Scale Mixtures of Skew-Normal Distributions
Version: 0.1.0
Description: Implements a parametric decision-theoretic framework for optimal diagnostic cutoff selection under the family of scale mixtures of skew-normal (SMSN) distributions, including the skew-normal (SN) and skew-t (ST) models as special cases. The optimal cutoff is defined by minimising a weighted misclassification risk that incorporates disease prevalence and asymmetric costs, leading to a likelihood-ratio equation that generalises the Youden criterion. Under a monotone likelihood ratio condition, existence, uniqueness, and global optimality of the cutoff are established. Asymptotic normality and a closed-form plug-in variance estimator are provided via the implicit function theorem and the multivariate delta method. Tools for model fitting, cutoff estimation, confidence intervals, the local identifiability diagnostic, and Monte Carlo simulation are included. The methodology is described in de Paula, Mouriño, and Dias Domingues (2026) <doi:10.48550/arXiv.2605.07829>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sn (>= 2.0.0), numDeriv (>= 2016.8-1)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-14 14:09:32 UTC; renato
Author: Renato de Paula [aut, cre] , Helena Mourino [aut], Tiago Dias Domingues [aut]
Maintainer: Renato de Paula <rrpaula@ciencias.ulisboa.pt>
Repository: CRAN
Date/Publication: 2026-05-19 08:50:02 UTC

More information about smsncut at CRAN
Permanent link

New package newmark with initial version 1.1.0
Package: newmark
Title: Uncertainty Analysis in Dynamic Site and Slope Response
Version: 1.1.0
Description: Implements a four-stage pipeline for probabilistic seismic performance analysis of slopes and embankments. The package takes a uniform-hazard spectrum at multiple return periods as input (any source) and produces: (1) synthetic soil profile generation and fundamental period estimation from USCS classification via Ishihara's small-strain shear-modulus model and the inhomogeneous truncated shear-beam theory of Gazetas and Dakoulas; (2) nonlinear site amplification using the Seyhan & Stewart (2014) model <doi:10.1193/063013EQS181M>, with inter-period correlation via Baker & Jayaram (2008) <doi:10.1193/1.2857544>; (3) Monte Carlo ensemble of six empirical Newmark sliding-block displacement models (Ambraseys & Menu (1988) <doi:10.1002/eqe.4290160704>, Jibson (2007) <doi:10.1016/j.enggeo.2007.01.013>, Saygili & Rathje (2008) <doi:10.1061/(ASCE)1090-0241(2008)134:6(790)>, Bray & Travasarou (2007) <doi:10.1061/(ASCE)1090-0241(2007)133:4(381) [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
URL: https://github.com/averriK/newmark, https://averriK.github.io/newmark/
BugReports: https://github.com/averriK/newmark/issues
Depends: R (>= 4.2)
Imports: data.table, digest, Hmisc, mvtnorm, randomForest, rpart, readxl, stats, stringr, triangle, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-14 01:46:40 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-05-19 08:20:02 UTC

More information about newmark at CRAN
Permanent link

New package JM4QTN with initial version 1.0.0
Package: JM4QTN
Title: Joint Mapping for Quantitative Trait Loci
Version: 1.0.0
Date: 2026-05-09
Description: A comprehensive computational framework for joint mapping, developed by Li (2016) <doi:10.11841/j.issn.1007-4333.2016.06.002>, supports quantitative trait locus detection in structured genetic populations. It integrates robust phenotype summarization, computes genotype probabilities, and imputes missing markers for association and linkage mapping. Empirical significance thresholds are estimated via permutation testing coupled with stepwise regression. The framework enables genome-wide scans under both univariate and multivariate trait models, streamlining the discovery of complex genetic architectures.
License: GPL (>= 2)
Imports: lsmeans (>= 2.25.5), StepReg (>= 1.5.0)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-13 23:22:10 UTC; lij11
Author: Junhui Li [aut, cre], Wenxin Liu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 08:10:02 UTC

More information about JM4QTN at CRAN
Permanent link

New package ImmuneSigR with initial version 0.1.0
Package: ImmuneSigR
Title: Immune Cell Signature Retrieval and Single-Cell Scoring
Version: 0.1.0
Description: Provides a literature-derived database of immune cell markers formatted as Gene Matrix Transposed (GMT) files. Users can search immune cell signatures, retrieve marker lists, export GMT files, create custom marker sets, and score gene-by-cell expression matrices with dependency-free rank-based or mean-expression methods. Cell subpopulations are distinguished by their source PMIDs. For the core curation of the lung cell atlas, see Travaglini et al. (2020) <doi:10.1038/s41586-020-2922-4>. For the pan-cancer B cell signatures, see Fitzsimons et al. (2024) <doi:10.1016/j.ccell.2024.09.011>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/YingYanLaing/ImmuneSigR
BugReports: https://github.com/YingYanLaing/ImmuneSigR/issues
Packaged: 2026-05-14 15:17:11 UTC; 梁颖妍
Author: Yingyan Liang [aut, cre], Peng Luo [aut]
Maintainer: Yingyan Liang <liangyingyan0625@163.com>
Repository: CRAN
Date/Publication: 2026-05-19 09:00:06 UTC

More information about ImmuneSigR at CRAN
Permanent link

New package dbMatrix with initial version 0.1.0
Package: dbMatrix
Title: Database-Backed Matrix Classes and Operations
Version: 0.1.0
Description: Provides S4 classes and methods for storing dense and sparse matrices in 'DuckDB' databases. The package supports constructing database-backed matrices from base R and 'Matrix' objects, extracting slices and summaries, performing arithmetic and selected linear algebra operations, and materializing results for larger-than-memory workflows. It integrates with 'dbProject' to keep database paths, live connections, and lazy matrix tables synchronized across interactive analyses.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/dbverse-org/dbmatrix-r, https://dbverse-org.github.io/dbmatrix-r/
BugReports: https://github.com/dbverse-org/dbmatrix-r/issues
Depends: R (>= 4.1.0)
Imports: Matrix (>= 1.6-5), MatrixGenerics (>= 1.12.3), methods, DBI, dplyr, dbplyr, duckdb (>= 1.4.0), data.table (>= 1.12.2), glue, bit64, cli, Rcpp, arrow, nanoarrow, dbProject, rlang
LinkingTo: Rcpp, RcppEigen, RSpectra, nanoarrow
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), irlba, crayon, R.utils, checkmate, reticulate, sparseMatrixStats, RSpectra
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-14 02:35:49 UTC; ecruiz
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 08:30:02 UTC

More information about dbMatrix at CRAN
Permanent link

New package conforest with initial version 2.0.1
Package: conforest
Title: Conformal Random Forests for Response Surface Emulation
Version: 2.0.1
Description: Fits emulators, also known as surrogates or response surfaces, using conformal inference with random forests. The conformal calibration is performed using out-of-bag samples from the forest, eliminating the need for a separate hold-out set. The method is based on Johansson et al. (2014 <doi:10.1007/s10994-014-5453-0>).
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: randomForest, RANN
NeedsCompilation: no
Packaged: 2026-05-14 15:28:28 UTC; knrumsey
Author: Kellin Rumsey [aut, cre]
Maintainer: Kellin Rumsey <knrumsey@lanl.gov>
Repository: CRAN
Date/Publication: 2026-05-19 09:00:02 UTC

More information about conforest at CRAN
Permanent link

New package surveytidy with initial version 0.6.0
Package: surveytidy
Title: Tidy 'dplyr'/'tidyr' Verbs for Survey Design Objects
Version: 0.6.0
Description: Provides 'dplyr' and 'tidyr' verbs, survey-aware recoding helpers, and row-wise statistics for survey design objects created with the 'surveycore' package. filter() uses domain estimation to preserve variance estimation validity; other verbs preserve design variables and metadata automatically. Also supports survey_collection objects for applying the same operation across a list of surveys.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.2.0), haven (>= 2.5.0), rlang (>= 1.1.0), S7 (>= 0.1.0), surveycore (>= 0.8.2), tidyr (>= 1.3.0), tidyselect (>= 1.2.0), vctrs (>= 0.6.0), withr (>= 2.5.0)
URL: https://jdenn0514.github.io/surveytidy/, https://github.com/JDenn0514/surveytidy
BugReports: https://github.com/JDenn0514/surveytidy/issues
Suggests: covr, mockery, pkgdown, testthat (>= 3.0.0), tibble
NeedsCompilation: no
Packaged: 2026-05-13 18:20:19 UTC; jacobdennen
Author: Jacob Dennen [aut, cre, cph]
Maintainer: Jacob Dennen <jdenn0514@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:50:02 UTC

More information about surveytidy at CRAN
Permanent link

New package submitr with initial version 0.1.0
Package: submitr
Title: Scaffold and Submit Computational Jobs to HTC Schedulers
Version: 0.1.0
Description: Provides scaffolding tools to help researchers prepare and submit computational jobs to high-throughput computing (HTC) schedulers. Generates the files required to run containerized R analyses on 'HTCondor', including submit files and executable scripts, and wraps the system commands needed to stage files, submit jobs, monitor status, and retrieve results from a CHTC submit node. Provides 'htc_config()' for managing connection details and SSH connection reuse guidance. Works naturally alongside 'containr' for container image management and 'toolero' for dataset splitting and project scaffolding.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: SSH client, HTCondor (https://htcondor.org)
Suggests: containr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), toolero, withr
Imports: cli, glue, readr, yaml
VignetteBuilder: knitr
URL: https://erwinlares.github.io/submitr/
BugReports: https://github.com/erwinlares/submitr/issues
NeedsCompilation: no
Packaged: 2026-05-13 19:19:57 UTC; lares
Author: Erwin Lares [aut, cre]
Maintainer: Erwin Lares <erwin.lares@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-19 07:40:02 UTC

More information about submitr at CRAN
Permanent link

New package sparseVCBART with initial version 1.0.0
Package: sparseVCBART
Title: Sparse Varying Coefficient BART with Global-Local Priors"
Version: 1.0.0
Date: 2026-05-13
Description: Fits sparse linear varying coefficient models (VCMs), which assert a linear relationship between an outcome and several covariates that is allowed to change as functions of additional variables known as effect modifiers. Designed for high-dimensional settings where the number of covariates (i.e., number of slopes) is comparable to or larger than the number of observations. Approximates the coefficient functions using a version of Bayesian Additive Regression Trees that can perform global-local shrinkage. For more details see Ghosh, Bhogale, and Deshpande (2026+) <doi:10.48550/arXiv.2510.08204>.
URL: https://github.com/ghoshstats/sparseVCBART
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
NeedsCompilation: yes
Packaged: 2026-05-13 15:39:34 UTC; sameer
Author: Soham Ghosh [aut], Sameer K. Deshpande [cre, aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-19 07:30:02 UTC

More information about sparseVCBART at CRAN
Permanent link

New package pairscale with initial version 1.0
Package: pairscale
Title: Pairwise Rescaling of Numeric Matrices
Version: 1.0
Description: Normalization of numerical matrices by minimizing the mean/median/mode difference between all column pairs.
URL: https://github.com/ftwkoopmans/pairscale/
License: AGPL (>= 3)
Encoding: UTF-8
SystemRequirements: C++20
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.5)
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo (>= 14.7)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-13 14:12:22 UTC; frank
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:10:02 UTC

More information about pairscale at CRAN
Permanent link

New package mixtime with initial version 0.1.0
Package: mixtime
Title: Mixed Temporal Vectors and Operations
Version: 0.1.0
Description: Flexible time classes for time series analysis and forecasting with mixed temporal granularities. Supports linear and cyclical time representations in discrete and continuous forms, with timezone support, across multiple calendar systems including Gregorian and ISO week date calendars. Time points are stored numerically relative to a chronon; an atomic time granule defined by time units of a calendar. Calendrical arithmetic enables conversion between time granules (e.g. days to months) and calendar systems. Multi-unit arithmetic allows for temporal analysis with other granules of common calendars (e.g. fortnights are 2-week units). Time vectors of different granularities (e.g. monthly and quarterly) can be combined in a single vector, making 'mixtime' ideal for data that changes observation frequency over time or requires temporal reconciliation across scales. The package is extensible, allowing users to define custom calendars that build upon civil and astronomical time systems.
License: MIT + file LICENSE
URL: https://pkg.mitchelloharawild.com/mixtime/, https://github.com/mitchelloharawild/mixtime
BugReports: https://github.com/mitchelloharawild/mixtime/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.0.2)
Imports: lifecycle, vctrs, rlang, cli, S7, vecvec (> 0.2.1), tzdb, methods
Suggests: stats, tsibble, testthat, pillar, knitr, rmarkdown
LinkingTo: cpp11 (>= 0.5.2), tzdb (>= 0.5.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-13 16:08:46 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:30:14 UTC

More information about mixtime at CRAN
Permanent link

New package llrem with initial version 0.1.1
Package: llrem
Title: LLM Relational Event Models
Version: 0.1.1
Description: Fit Cox proportional hazards relational event models (REMs), including a separable formulation that partitions events into initiation and continuation sub-models. Optionally augments REM simulations with large language model (LLM) agents that select targets conditioned on event history, supporting multiple providers ('OpenAI', 'Anthropic', 'xAI'/'Grok', 'Google Gemini', 'Ollama', 'AWS Bedrock') through a common interface. See Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x> for description of relational event modeling.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, httr2 (>= 1.1.0), Rcpp, survival
LinkingTo: Rcpp
Suggests: igraph, parallel, relevent, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-05-13 14:03:13 UTC; cbeng
Author: C. Ben Gibson [aut, cre]
Maintainer: C. Ben Gibson <cbengibson@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:10:08 UTC

More information about llrem at CRAN
Permanent link

New package HealthMarkers with initial version 0.1.2
Package: HealthMarkers
Title: Toolkit for Clinical, Metabolic, and Cardiovascular Biomarker Calculations
Version: 0.1.2
Description: Computes over 50 specialist health marker functions covering insulin sensitivity and resistance indices (fasting, oral glucose tolerance test, adipose-tissue, tracer, and dual-energy X-ray absorptiometry (DXA)-based), glycaemic and lipid markers, atherogenic and metabolic syndrome scores, liver steatosis and fibrosis scores, and cardiovascular risk algorithms (Framingham Heart Study equations, atherosclerotic cardiovascular disease (ASCVD) Pooled Cohort Equations, the QRISK3 cardiac risk score, and Systematic Coronary Risk Evaluation 2 (SCORE2) including the Older Persons variant (SCORE2-OP)). Also implements renal function (estimated glomerular filtration rate (eGFR), Kidney Failure Risk Equation (KFRE), chronic kidney disease (CKD) staging), pulmonary function (spirometry z-scores, Body-mass index, airflow Obstruction, Dyspnea, and Exercise capacity index (BODE)), inflammatory markers and the inflammatory age clock (iAge), hormonal panels, body composition and anthropometric z-scores [...truncated...]
License: MIT + file LICENSE
URL: https://sufyansuleman.github.io/HealthMarkers/, https://github.com/sufyansuleman/HealthMarkers
BugReports: https://github.com/sufyansuleman/HealthMarkers/issues
Depends: R (>= 4.0)
Imports: dplyr (>= 1.0.0), rlang (>= 1.0.0), stats, tibble (>= 3.0.0), utils, vctrs, Rdpack
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), pkgload, CVrisk, di, rspiro, PooledCohort, QRISK3, RiskScorescvd, usethis, withr, mice, missForest
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-13 19:21:54 UTC; au773972
Author: Sufyan Suleman [aut, cre]
Maintainer: Sufyan Suleman <sufyansuleman@hotmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:40:13 UTC

More information about HealthMarkers at CRAN
Permanent link

New package gedi2 with initial version 2.3.4
Package: gedi2
Title: Gene Expression Decomposition and Integration
Version: 2.3.4
Date: 2026-05-09
Description: A memory-efficient implementation for integrating gene expression data from single-cell RNA sequencing experiments. Uses a C++ backend with thin R wrappers to enable analysis of large-scale single-cell datasets. The package supports multiple data modalities including count matrices, paired data (splicing, RNA velocity, CITE-seq), and binary indicators. It implements a latent variable model with block coordinate descent optimization for dimensionality reduction and batch effect correction. Core algorithms are described in Madrigal et al. (2024) <doi:10.1038/s41467-024-50963-0>.
License: MIT + file LICENSE
URL: https://github.com/csglab/gedi2
BugReports: https://github.com/csglab/gedi2/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), R6 (>= 2.5.0), Matrix (>= 1.3.0), ggplot2, scales, methods, stats, utils
LinkingTo: Rcpp, RcppEigen
Suggests: hdf5r, uwot, digest, glmnet, Seurat, SeuratObject, SingleCellExperiment, testthat (>= 3.0.0)
SystemRequirements: GNU make
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-05-13 17:32:10 UTC; arsham79
Author: Arsham Mikaeili Namini [aut, cre], Hamed S.Najafabadi [aut]
Maintainer: Arsham Mikaeili Namini <arsham.mikaeilinamini@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2026-05-19 07:30:21 UTC

More information about gedi2 at CRAN
Permanent link

New package DrData with initial version 0.2.0
Package: DrData
Title: Interactive Statistical Analysis and Machine Learning Platform
Version: 0.2.0
Description: A 'Shiny'-based interactive platform for end-to-end data science workflows. Provides modules for data import (CSV, 'Excel', RDS, TXT), data preprocessing (missing value imputation, encoding, scaling, outlier removal), exploratory data analysis with interactive plots and normality tests, supervised learning (regression and classification each with eight algorithms), and unsupervised learning (k-means, hierarchical clustering, density-based spatial clustering of applications with noise). Designed for students and practitioners in data science and artificial intelligence.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/mohsenmehdinia/DrData
BugReports: https://github.com/mohsenmehdinia/DrData/issues
Imports: shiny (>= 1.7.0), stats, utils
Suggests: shinydashboard, plotly, DT, ggplot2, dplyr, tidyr, readr, readxl, caret, randomForest, rpart, rpart.plot, e1071, class, nnet, colourpicker, glmnet, cluster, dbscan, GGally, gbm, pROC, reshape2, scales, nortest, tseries, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 14:11:26 UTC; ASUS
Author: Mohsen Mehdinia [aut, cre]
Maintainer: Mohsen Mehdinia <mehdinia.55@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-19 07:10:16 UTC

More information about DrData at CRAN
Permanent link

New package diffcp with initial version 0.1.0
Package: diffcp
Title: Differentiating Through Cone Programs
Version: 0.1.0
Description: A pure-R port of the Python 'diffcp' package. Computes the derivative of the optimal solution map of a convex cone program, treating the program as an implicit function of its data (constraint matrix, offset, objective coefficients, and optionally a quadratic), mirroring Agrawal et al. (2019) <doi:10.48550/arXiv.1904.09043>.
URL: https://github.com/bnaras/diffcp
BugReports: https://github.com/bnaras/diffcp/issues
License: Apache License (>= 2)
Encoding: UTF-8
Imports: cli, clarabel, Matrix, methods, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, pkgdown, rmarkdown, scs, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-05-13 17:44:42 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre], Akshay Agrawal [aut], Shane Barratt [aut], Stephen Boyd [aut], Enzo Busseti [aut], Walaa Moursi [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2026-05-19 07:40:08 UTC

More information about diffcp at CRAN
Permanent link

New package nhanesdiva with initial version 1.0.0
Package: nhanesdiva
Title: NHANES Data Search, Preview, and Download Tools
Description: Search, preview, and download datasets from the National Health and Nutrition Examination Survey (NHANES) across survey cycles. The package provides functions to identify relevant datasets by keyword, inspect available .XPT files before downloading, and organize retrieved data locally. Data are retrieved from the NHANES web services available at <https://wwwn.cdc.gov/nchs/nhanes/> .
Version: 1.0.0
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: curl, testthat (>= 3.0.0), withr
URL: https://github.com/Snowepi/nhanesdiva
BugReports: https://github.com/Snowepi/nhanesdiva/issues
NeedsCompilation: no
Packaged: 2026-05-13 12:30:43 UTC; mesus
Author: Sushma Dahal [aut, cre]
Maintainer: Sushma Dahal <sushdahal@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-05-19 07:00:02 UTC

More information about nhanesdiva at CRAN
Permanent link

New package marsearth with initial version 0.0.0
Package: marsearth
Title: Portable Mars Runtime Replay
Version: 0.0.0
Description: Loads, validates, and replays portable 'mars' ModelSpec artifacts from R. The package provides helpers for constructing design matrices, generating predictions, and, when the companion runtime helper is available, fitting portable model specifications for cross-language replay.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/edithatogo/mars
BugReports: https://github.com/edithatogo/mars/issues
Imports: jsonlite
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-10 14:07:27 UTC; doughnut
Author: Dylan A Mordaunt [aut, cre]
Maintainer: Dylan A Mordaunt <dylan.mordaunt@vuw.ac.nz>
Repository: CRAN
Date/Publication: 2026-05-19 07:00:07 UTC

More information about marsearth at CRAN
Permanent link

Mon, 18 May 2026

New package vennDiagramLab with initial version 2.0.5
Package: vennDiagramLab
Title: Headless Venn Diagram Analysis and Rendering
Version: 2.0.5
Description: Headless companion to the 'Venn Diagram Lab' web tool (<https://www.venndiagramlab.org/>). Build, render, and statistically analyze Venn / 'UpSet' diagrams from 'CSV' / 'TSV' / 'GMT' / 'GMX' inputs. Provides the same 44 SVG models, intersection / 'Jaccard' / hypergeometric statistics, and PDF report layout as the web tool, with byte-equivalent 'TSV' exports (parity-tested against the published Python package). Integrates with 'ggplot2', 'tidygraph', and 'broom'.
License: MIT + file LICENSE
Language: en-US
URL: https://zoliqua.github.io/Venn-Diagram-Lab/r/, https://github.com/ZoliQua/Venn-Diagram-Lab, https://www.venndiagramlab.org/
BugReports: https://github.com/ZoliQua/Venn-Diagram-Lab/issues
Depends: R (>= 4.2)
Imports: methods, stats, utils, jsonlite, xml2, ggplot2, ComplexUpset, ggraph, tidygraph, grDevices, rsvg, patchwork, gridExtra, BiocGenerics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, rprojroot, pdftools, broom, tibble, dplyr, covr, BiocCheck, lintr, pkgdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-12 19:27:29 UTC; Zoli
Author: Zoltan Dul [aut, cre] , Marton Oelbei [aut] , N. Shaun B. Thomas [aut], Azeddine Si Ammour [aut] , Attila Csikasz-Nagy [aut]
Maintainer: Zoltan Dul <zoltan.dul@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:02 UTC

More information about vennDiagramLab at CRAN
Permanent link

New package staat1cho with initial version 0.1.0
Package: staat1cho
Title: Study Indicators Based on Dutch Higher Education Data (1CHO)
Version: 0.1.0
Description: Calculates enrolment, graduation, dropout, and programme-switch indicators from the Dutch higher education registration data (1CHO) supplied by DUO. Includes an interactive 'Shiny' dashboard for exploring results.
License: MIT + file LICENSE
URL: https://github.com/cedanl/staat-van-onderwijsinstelling
BugReports: https://github.com/cedanl/staat-van-onderwijsinstelling/issues
Encoding: UTF-8
Language: nl
Depends: R (>= 4.1.0)
Imports: cli, dplyr, forcats, readr, rlang, shiny
Suggests: bslib, DT, ggplot2, knitr, plotly, rmarkdown, scales, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 12:27:33 UTC; Aslam
Author: Aslam Tanjung [aut, cre], Veerle van Son [aut], Damiette Bakx-van den Brink [aut]
Maintainer: Aslam Tanjung <aslam.tanjung@surf.nl>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:02 UTC

More information about staat1cho at CRAN
Permanent link

New package sobol with initial version 1.0.0
Package: sobol
Title: Quasi-Monte Carlo Sobol Sequence Generator
Version: 1.0.0
Description: Provides a fast and efficient implementation of Sobol sequences for quasi-Monte Carlo methods. The Sobol sequence is a low-discrepancy sequence with the property that for all values of N, its subsequence x1, ..., xN has a low discrepancy. It can be used to generate quasi-random numbers for use in Monte Carlo integration and other simulation methods. This implementation is based on the algorithms described by Bratley and Fox (1988) <doi:10.1145/42288.214372> and uses direction numbers from Joe and Kuo (2008) <doi:10.1145/1358628.1358630>. The package includes both batch and incremental interfaces with support for arbitrary starting indices and reproducible sequences. It uses 'Rcpp' for efficient 'C++' integration.
URL: https://alrobles.github.io/sobol/
BugReports: https://github.com/alrobles/sobol/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.1.0), methods, checkmate
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), ggplot2, microbenchmark
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2026-05-13 04:35:08 UTC; alrob
Author: Angel Robles [aut, cre], Ilya M. Sobol [ctb] , Paul Bratley [ctb] , Bennett L. Fox [ctb] , Stephen Joe [ctb] , Frances Y. Kuo [ctb]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:02 UTC

More information about sobol at CRAN
Permanent link

New package rxode2mrgsolvebridge with initial version 0.1.0
Package: rxode2mrgsolvebridge
Title: Convert Models Between 'rxode2' and 'mrgsolve'
Version: 0.1.0
Description: Provides an intermediate representation and file-oriented helpers for converting pharmacometric model code between 'rxode2' and 'mrgsolve'. The conversion uses a package-specific intermediate representation described by Hammami F (2026) "rxode2-mrgsolve-bridge" <https://gitlab.com/fiha1/rxode2-mrgsolve-bridge>.
URL: https://gitlab.com/fiha1/rxode2-mrgsolve-bridge
BugReports: https://gitlab.com/fiha1/rxode2-mrgsolve-bridge/-/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: mrgsolve, rxode2, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-05-13 07:30:36 UTC; fiha
Author: Firas Hammami [aut, cre]
Maintainer: Firas Hammami <fiha@genmab.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:07 UTC

More information about rxode2mrgsolvebridge at CRAN
Permanent link

New package roundr with initial version 1.0.0
Package: roundr
Title: Incorporate Rounding for Discrete Data Modeling
Version: 1.0.0
Description: Provides density, distribution and random number generator functions to account for discretization in data where recorded values mask the underlying measurement process. Details on methodology are described in Glazer et al. (2026) <doi:10.1080/00031305.2025.2604812>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: rlang, statmod
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-13 05:41:53 UTC; berkeleyho
Author: Berkeley Ho [aut, cre]
Maintainer: Berkeley Ho <berknho@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:07 UTC

More information about roundr at CRAN
Permanent link

New package orisma with initial version 0.1.0
Package: orisma
Title: Occupational Risk Integrated Systematic Mapping and Analysis
Version: 0.1.0
Description: A complete pipeline for systematic bibliometric mapping of occupational health and safety (OHS) evidence. Starting from reference files exported from major bibliographic databases such as Web of Science, Scopus, PubMed, Dimensions, EBSCO, and others, 'orisma' automates ingestion, deduplication, relevance filtering, occupational risk category extraction, bibliometric analysis, and report generation. The package is related to bibliometric science mapping and evidence synthesis workflows described by Aria and Cuccurullo (2017) <doi:10.1016/j.joi.2017.08.007>, Westgate (2019) <doi:10.1002/jrsm.1374>, and Lajeunesse (2016) <doi:10.1111/2041-210X.12472>, but adds a domain-specific occupational safety and health layer. The package implements three original bibliometric indicators: (1) the Worker-Risk Disconnection Index (WRDI), measuring the proportion of studies that characterise an occupational risk without including direct worker exposure data; (2) the Risk Category Satur [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Aguilar-Elena/orisma
BugReports: https://github.com/Aguilar-Elena/orisma/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), digest (>= 0.6.29), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), glue (>= 1.6.0), jsonlite (>= 1.8.0), magrittr (>= 2.0.0), pheatmap (>= 1.0.12), readr (>= 2.1.0), stringdist (>= 0.9.8), stringr (>= 1.5.0), synthesisr (>= 0.3.0), tidyr (>= 1.3.0), tools, utils
Suggests: knitr, rmarkdown, rsvg, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-12 20:14:07 UTC; okashi
Author: Raul Aguilar Elena [aut, cre] , Ana Delgado-Garcia [aut]
Maintainer: Raul Aguilar Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:09 UTC

More information about orisma at CRAN
Permanent link

New package maxentcpp with initial version 1.0.0
Package: maxentcpp
Title: Maximum Entropy Species Distribution Modeling ('C++' Implementation)
Version: 1.0.0
Description: 'C++' implementation of Maximum Entropy (Maxent) species distribution modeling with R bindings via 'Rcpp'. Provides a high-performance reimplementation of the Maxent algorithm for modeling species geographic distributions from occurrence data and environmental variables, following Phillips et al. (2006) <doi:10.1016/j.ecolmodel.2005.03.026>. Supports linear, quadratic, product, hinge, and threshold feature transformations, spatial projection in raw, logistic, and cloglog scales, and model diagnostics including Area Under the ROC Curve (AUC), variable importance, response curves, and Multivariate Environmental Similarity Surfaces (MESS) maps.
URL: https://github.com/alrobles/maxentcpp, https://alrobles.github.io/maxentcpp/
BugReports: https://github.com/alrobles/maxentcpp/issues
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), methods
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, terra (>= 1.7-46), raster, sf, png, rJava, maxnet
SystemRequirements: C++17
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-13 03:58:32 UTC; alrob
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:11 UTC

More information about maxentcpp at CRAN
Permanent link

New package leadeR with initial version 0.1.0
Package: leadeR
Title: Profiling Leaders at a Distance
Version: 0.1.0
Description: Profiles political leaders at a distance from text data such as speeches, interviews, press conferences, and other public statements. Computes Leadership Trait Analysis scores for seven personality traits -- including need for power, conceptual complexity, and self-confidence -- and classifies leaders into one of eight leadership styles. Also computes Operational Code Analysis scores summarising a leader's beliefs about politics and the use of power.
URL: https://github.com/mmukaigawara/leadeR
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: spacyr, dplyr, stringr, tidyr, stringi, data.table, tibble, countries, countrycode, purrr
Suggests: knitr, metafor, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 00:09:01 UTC; mitsurumukaigawara
Author: Mitsuru Mukaigawara [cre, aut] , Joshua Kertzer [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>
Repository: CRAN
Date/Publication: 2026-05-18 18:20:02 UTC

More information about leadeR at CRAN
Permanent link

New package gendercoder with initial version 0.1.1
Package: gendercoder
Title: Recodes Sex/Gender Descriptions into a Standard Set
Version: 0.1.1
Description: Provides dictionary-based tools for recoding free-text gender responses into consistent categories while preserving gender diversity where possible. The package standardises spelling, capitalization, whitespace, and common variants through curated named character-vector dictionaries, supports either detailed or collapsed output categories, and can retain original unmatched responses for manual review. It also includes helpers for creating custom dictionaries from approximate string matches and a local interactive application for recoding uploaded data files.
Depends: R (>= 3.0.0)
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, bs4Dash, haven, shiny
VignetteBuilder: knitr
URL: https://github.com/ropensci/gendercoder
BugReports: https://github.com/ropensci/gendercoder/issues
NeedsCompilation: no
Packaged: 2026-05-12 23:45:55 UTC; Bach
Author: Yaoxiang Li [aut, cre] , Jennifer Beaudry [aut] , Emily Kothe [aut] , Felix Singleton Thorn [aut] , Rhydwyn McGuire [aut], Nicholas Tierney [aut] , Mathew Ling [aut] , Julia Silge [rev] for rOpenSci, see <https://github.com/ropensci/software-review/ [...truncated...]
Repository: CRAN
Date/Publication: 2026-05-18 18:10:16 UTC

More information about gendercoder at CRAN
Permanent link

New package cclustr with initial version 0.1.1
Package: cclustr
Title: Consensus Clustering Methods for Multiple Imputed Data
Version: 0.1.1
Description: Provides tools for performing consensus clustering on multiple imputed datasets. The package supports a range of clustering algorithms across imputations, including hierarchical methods (e.g., Ward, single, complete, average) and partition-based approaches such as k-means, k-medoids (PAM), fuzzy clustering, model-based clustering ('mclust'), and methods for mixed or categorical data (k-modes and k-prototypes). A co-assignment matrix is constructed to quantify agreement between partitions, and consensus solutions are derived via hierarchical clustering applied to the resulting dissimilarity matrix. Additional functions are provided for validation and visualization of clustering results, facilitating robust analysis in the presence of missing data. Consensus clustering framework is based on Monti et al. (2003) <doi:10.1023/A:1023949509487>, rank aggregation methods follow Pihur et al. (2007) <doi:10.1093/bioinformatics/btm158>, and the PAC (Proportion of Ambiguous Clustering) [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/andrews06ml/cclustr
BugReports: https://github.com/andrews06ml/cclustr/issues
Depends: R (>= 4.0)
Imports: cluster, e1071, fpc, graphics, stats, viridisLite, klaR, clustMixType, proxy, mclust
Suggests: knitr, mice, mlbench, rmarkdown, spelling, testthat (>= 3.0.0), utils
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 01:54:56 UTC; andre
Author: Anhuar Duran Mendoza [aut], Andres Montenegro Lemus [aut, cre], Mario Pacheco Lopez [aut]
Maintainer: Andres Montenegro Lemus <andresfemole@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:20:07 UTC

More information about cclustr at CRAN
Permanent link

New package bolder with initial version 0.1.1
Package: bolder
Title: 'RStudio' Add-Ins for Formatted Section Titles
Version: 0.1.1
Description: Provides 'RStudio' add-ins and helper functions for converting the current editor line, or a supplied character string, into formatted section titles for 'R' scripts. When used as an add-in, it uses 'rstudioapi' to read the active document context and replace only the selected line, so users can bind the add-ins to keyboard shortcuts. The formatter trims common comment and heading markers, converts the label to uppercase, and renders three styles: a five-line boxed title, a framed subtitle, and a simple inline header. Generated titles are padded or centered to a configurable width, using the package-specific width option when set and the session display width otherwise, which helps keep analysis scripts visually consistent and easier to navigate.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rstudioapi
NeedsCompilation: no
Packaged: 2026-05-13 11:15:28 UTC; User
Author: Gabriel Curti [aut, cre]
Maintainer: Gabriel Curti <freitascurti@usp.br>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:22 UTC

More information about bolder at CRAN
Permanent link

New package binxr with initial version 0.1.1
Package: binxr
Title: 'Binance' REST API Client
Version: 0.1.1
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Client for the 'Binance' <https://www.binance.com/> Spot, Futures, and Options REST APIs. Provides helper functions for signed and unsigned requests, market data retrieval, account access, and order management with 'data.table' output by default.
License: MIT + file LICENSE
URL: https://github.com/OliverLDS/binxr, https://oliverlds.github.io/binxr/
BugReports: https://github.com/OliverLDS/binxr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, digest, data.table, rlang
Suggests: testthat (>= 3.0.0), waldo
NeedsCompilation: no
Packaged: 2026-05-13 07:49:36 UTC; oliver
Repository: CRAN
Date/Publication: 2026-05-18 18:30:20 UTC

More information about binxr at CRAN
Permanent link

New package BFM with initial version 0.2.11
Package: BFM
Title: Beta Factor Model
Version: 0.2.11
Author: Guangbao Guo [aut, cre], Jiahui Feng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides tools for factor analysis in financial and econometric settings under Beta factor models. It includes functions to simulate factor-model data with Beta-distributed idiosyncratic components (e.g., standard Beta, scaled Beta, and truncated Beta distributions) and to conduct model diagnostic assessments such as likelihood ratio tests for factor number selection and goodness-of-fit tests for Beta distribution assumptions. Estimation routines encompass maximum likelihood estimation for finite-dimensional Beta factor models, regularized Beta factor analysis for high-dimensional datasets, and shrinkage-based estimation for robust Beta factor loading recovery in noisy or incomplete data environments. The package's methodological framework is detailed in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), spelling, betareg, zoib
NeedsCompilation: no
LazyData: true
Imports: MASS, psych, stats
Language: en-US
Packaged: 2026-05-12 12:44:40 UTC; Administrator
Repository: CRAN
Date/Publication: 2026-05-18 18:20:13 UTC

More information about BFM at CRAN
Permanent link

New package BayesPPR with initial version 0.1.0
Package: BayesPPR
Title: Bayesian Projection Pursuit Regression
Version: 0.1.0
Description: Bayesian fitting of projection pursuit regression model. Built to handle continuous and categorical inputs and scalar output (Collins et al., 2023 <DOI:10.1007/s11222-023-10334-z>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods
Suggests: testthat (>= 3.0.0)
URL: https://github.com/gqcollins/BayesPPR
BugReports: https://github.com/gqcollins/BayesPPR/issues
NeedsCompilation: no
Packaged: 2026-05-12 21:35:37 UTC; jdtuck
Author: Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:21 UTC

More information about BayesPPR at CRAN
Permanent link

New package AutoNN with initial version 0.1.0
Package: AutoNN
Title: Automatic Neural Network Modeling for Time Series Forecasting
Version: 0.1.0
Maintainer: S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Description: Provides optimal combinations of input nodes and hidden neurons for fitting feedforward single-layer artificial neural networks in time series forecasting. Models are evaluated using root mean square error, mean absolute percentage error, and mean absolute error measures.
License: GPL-3
Encoding: UTF-8
Imports: forecast, MLmetrics
NeedsCompilation: no
Packaged: 2026-05-13 09:48:17 UTC; JARVIS
Author: S. Vishnu Shankar [aut, cre], V. Lavanya [aut]
Repository: CRAN
Date/Publication: 2026-05-18 18:40:27 UTC

More information about AutoNN at CRAN
Permanent link

Fri, 15 May 2026

New package treeSS with initial version 0.1.44
Package: treeSS
Title: Tree-Spatial Scan Statistic for Cluster Detection
Version: 0.1.44
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
License: GPL (>= 3)
URL: https://github.com/allanvc/treeSS
BugReports: https://github.com/allanvc/treeSS/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sf
SystemRequirements: GNU make
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-12 00:55:05 UTC; allan
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut] , Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:02 UTC

More information about treeSS at CRAN
Permanent link

New package statMatchLCM with initial version 1.2
Package: statMatchLCM
Title: Statistical Matching Using Latent Class Models
Version: 1.2
Description: Tools for statistical matching based on latent class models. The package implements statistical matching procedures based on latent class models. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms.
License: GPL-3
Encoding: UTF-8
Imports: nnet, StatMatch
Suggests: NPBayesImputeCat
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-11 17:11:33 UTC; woali
Author: Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>
Repository: CRAN
Date/Publication: 2026-05-15 20:20:08 UTC

More information about statMatchLCM at CRAN
Permanent link

New package nudibranch with initial version 0.0.1.1
Package: nudibranch
Title: Colour Palettes Inspired by Sea Slugs and Nudibranchs of Sydney
Version: 0.0.1.1
Description: A collection of colour palettes derived from photographs of nudis and sea slugs I have encountered in intertidal zones and shallow rocky reefs around Sydney, Australia. Palettes can be used in base R or with 'ggplot2'.
License: MIT + file LICENSE
Imports: ggplot2
Encoding: UTF-8
URL: https://github.com/nikihubbard/nudibranch
BugReports: https://github.com/nikihubbard/nudibranch/issues
NeedsCompilation: no
Packaged: 2026-05-11 22:27:36 UTC; nikhu
Author: Niki Hubbard [aut, cre]
Maintainer: Niki Hubbard <nik.hubbard@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:09 UTC

More information about nudibranch at CRAN
Permanent link

New package mighty.metadata with initial version 0.1.0
Package: mighty.metadata
Title: Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format
Version: 0.1.0
Description: Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/mighty.metadata/, https://github.com/NovoNordisk-OpenSource/mighty.metadata
BugReports: https://github.com/NovoNordisk-OpenSource/mighty.metadata/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, glue, purrr, rlang, S7, S7schema (>= 0.1.1), stats, tibble, yaml, zephyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-11 16:16:55 UTC; oath
Author: Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:10:07 UTC

More information about mighty.metadata at CRAN
Permanent link

New package metANN with initial version 0.1.0
Package: metANN
Title: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
Version: 0.1.0
Description: Provides tools for general-purpose continuous optimization and feed-forward artificial neural network training using metaheuristic and gradient-based optimization algorithms. The package supports benchmark function optimization, regression, binary classification, and multi-class classification with multilayer perceptrons. The package implements several optimization methods, including particle swarm optimization Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, differential evolution Storn and Price (1997) <doi:10.1023/A:1008202821328>, grey wolf optimizer Mirjalili et al. (2014) <doi:10.1016/j.advengsoft.2013.12.007>, secretary bird optimization Fu et al. (2024) <doi:10.1007/s10462-024-10729-y>, and Adam Kingma and Ba (2015) <doi:10.48550/arXiv.1412.6980>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/burakdilber/metANN
BugReports: https://github.com/burakdilber/metANN/issues
NeedsCompilation: no
Packaged: 2026-05-11 19:24:56 UTC; hp
Author: Burak Dilber [aut, cre, cph], A. Firat Oezdemir [aut, ths]
Maintainer: Burak Dilber <burakdilber91@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:30:07 UTC

More information about metANN at CRAN
Permanent link

New package mcqAnalysis with initial version 0.1.0
Package: mcqAnalysis
Title: Classical Test Theory Item Analysis for Multiple-Choice Tests
Version: 0.1.0
Description: A unified toolkit for classical test theory (CTT) item analysis of multiple-choice test data, including item difficulty (p-value), item discrimination (point-biserial correlation and upper-lower 27-percent discrimination index), per-distractor analysis (frequency, proportion, and discrimination), and Haladyna's distractor efficiency. A wrapper function returns a tidy 'mcq_analysis' object with print, plot (difficulty-discrimination scatter), and APA-style table methods for direct inclusion in journal manuscripts. Implemented in pure R with no compiled code and minimal dependencies.
License: MIT + file LICENSE
URL: https://github.com/Rafhq1403/mcqAnalysis
BugReports: https://github.com/Rafhq1403/mcqAnalysis/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-12 07:34:55 UTC; rashedalqahtani
Author: Rashed Alqahtani [aut, cre]
Maintainer: Rashed Alqahtani <rashed.alqahtani@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 21:00:02 UTC

More information about mcqAnalysis at CRAN
Permanent link

New package islandcodes with initial version 0.1.1
Package: islandcodes
Title: Reference Data and Helpers for Small Island States and Territories
Version: 0.1.1
Description: A curated reference list of countries and territories with classifications for Small Island Developing States (SIDS), sub-national island jurisdictions (SNIJ), World Bank region and income group, and political association. Sub-sovereign cases such as Aruba, Curacao, Bonaire, Sint Maarten, the French overseas territories, and Aaland Islands are represented with disambiguating codes that standard country-code packages often collapse or omit. Provides predicate helpers and a tidy joiner intended to extend rather than replace 'countrycode'. Source data is maintained at <https://github.com/University-of-Aruba/island-research-reference-data> and licensed CC BY 4.0.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: countrycode (>= 1.5.0)
Suggests: dplyr, tibble, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/University-of-Aruba/islandcodes, https://university-of-aruba.github.io/islandcodes/
BugReports: https://github.com/University-of-Aruba/islandcodes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-11 09:31:26 UTC; Rendell CE
Author: Rendell de Kort [aut, cre] , University of Aruba [cph, fnd] Network)
Maintainer: Rendell de Kort <rendell.dekort@ua.aw>
Repository: CRAN
Date/Publication: 2026-05-15 20:30:14 UTC

More information about islandcodes at CRAN
Permanent link

New package HausdorffGoF with initial version 0.3.0
Package: HausdorffGoF
Version: 0.3.0
Title: One- And Two-Sample Hausdorff Goodness-of-Fit Test
Description: Computes the test statistic and p-values of the one-sample and two-sample Hausdorff (H) goodness-of-fit tests. The H statistic measures the Hausdorff distance under the Chebyshev (l-infinity) metric, between the two cumulative distribution functions (cdfs) underlying the corresponding one-sample and two-sample null hypothesis. It coincides to the side length of the largest axis-aligned square (hypercube) that can be inscribed between the two cdfs. The following cases are covered: (i) one-sample, univariate; (ii) two-sample univariate; and (iii) two-sample bivariate. Exact one-sample p-values are computed in O(n^2 log n) time via the 'Exact-KS-FFT' method of Dimitrova, Kaishev, and Tan (2020) <doi:10.18637/jss.v095.i10>; two-sample p-values are obtained by permutation. A key advantage of the H test is that its sensitivity can be directed towards the left tail, body, or right tail of the distribution by tuning a scale parameter sigma, and therefore maximizing its power which as sh [...truncated...]
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.12), KSgeneral, stats, utils, withr
LinkingTo: Rcpp, RcppEigen
License: GPL (>= 3)
URL: https://github.com/fakecloudsjy/HausdorffGoF
Encoding: UTF-8
Copyright: Dimitrina S. Dimitrova, Yun Jia, and Vladimir K. Kaishev own the copyright of the original R and C++ code in this package. Portions of the C++ source code (src/fastCDF.cpp, src/fastCDF.h, src/fastCDFOnSample.cpp, src/fastCDFOnSample.h, src/nDDominanceAlone.cpp) are derived from the StOpt library and are Copyright (C) 2020 EDF - Electricite de France, published under the GNU Lesser General Public License (LGPL-3). See the file inst/COPYRIGHTS for full details.
NeedsCompilation: yes
Packaged: 2026-05-11 22:04:13 UTC; Yun
Author: Dimitrina S. Dimitrova [aut], Yun Jia [aut, cre], Vladimir K. Kaishev [aut]
Maintainer: Yun Jia <yunjia2019@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:14 UTC

More information about HausdorffGoF at CRAN
Permanent link

New package sssvcqr with initial version 0.0.4
Package: sssvcqr
Title: Sparse-Smooth Spatially Varying Coefficient Quantile Regression
Version: 0.0.4
Author: Houjian Hou [aut, cre]
Maintainer: Houjian Hou <beidaihe77@qq.com>
Description: Implements sparse-smooth spatially varying coefficient quantile regression (SS-SVCQR), combining quantile regression of Koenker and Bassett (1978) <doi:10.2307/1913643>, grouped variable selection of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, graph regularization, and the alternating direction method of multipliers of Boyd et al. (2011) <doi:10.1561/2200000016>. The package provides graph-regularized estimation, spatially blocked cross-validation, prediction, diagnostics, and simulation helpers for global-local spatial quantile regression.
License: GPL (>= 3)
URL: https://github.com/Stork343/sssvcqr
BugReports: https://github.com/Stork343/sssvcqr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: FNN, igraph, Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-11 12:22:23 UTC; houjian
Repository: CRAN
Date/Publication: 2026-05-15 20:00:02 UTC

More information about sssvcqr at CRAN
Permanent link

New package oystermapR with initial version 1.4.0
Package: oystermapR
Title: Predict and Map Oyster Growth Suitability from Environmental Data
Version: 1.4.0
Description: Predicts spatial suitability for oyster growth from environmental survey data using Analytic Hierarchy Process (AHP) weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports fourteen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and ten further species; see list_species(). Includes season-aware scoring, tidal height correction, Bayesian tolerance parameter updating from field observations, spatial block cross-validation (Roberts et al., 2017, <doi:10.1111/ecog.02881>), permutation variable importance, wave exposure and sediment stability modules, Harmful Algal Bloom (HAB) risk and anthropogenic disturbance scoring w [...truncated...]
License: GPL (>= 3)
URL: https://github.com/trissyboats/oystermapR
BugReports: https://github.com/trissyboats/oystermapR/issues
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: dplyr (>= 1.0.0), terra (>= 1.7.18), sf (>= 1.0.0), rlang (>= 1.0.0), cli (>= 3.0.0), stats, utils
Suggests: ggplot2 (>= 3.4.0), testthat (>= 3.0.0), knitr, rmarkdown (>= 2.20), tinytex, httr (>= 1.4.0), jsonlite (>= 1.8.0), ncdf4 (>= 1.19), gstat (>= 2.1.0), sp (>= 1.6.0), lubridate (>= 1.9.0), suncalc (>= 0.5.0), oce (>= 1.7.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-11 09:40:42 UTC; home
Author: T Tucker [aut, cre]
Maintainer: T Tucker <tristantucker48@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 19:30:02 UTC

More information about oystermapR at CRAN
Permanent link

New package coupling with initial version 0.1
Package: coupling
Title: Analysis of Coupling Coordination Degree
Version: 0.1
Description: Implements coupling coordination degree (CCD) models and supports metacoupling analysis following Tang et al. (2021) <doi:10.1016/j.scs.2021.103405>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/coupling/, https://github.com/stscl/coupling
BugReports: https://github.com/stscl/coupling/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Suggests: gdverse, infoxtr, knitr, pc, Rcpp, RcppThread, rmarkdown, sdsfun, spEDM
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-11 12:15:48 UTC; dell
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:00:07 UTC

More information about coupling at CRAN
Permanent link

Thu, 14 May 2026

New package symTensor with initial version 0.1.0
Package: symTensor
Title: Symmetric Matrix and Tensor Decomposition
Version: 0.1.0
Description: Provides symmetric matrix and tensor operations and decomposition algorithms including symmetric NMF (symNMF), PageRank, Label Propagation, Higher-order Power Method, and TOPHITS. Designed to work with 'rTensor' objects. Methods are described in Kuang et al. (2012) <doi:10.1137/1.9781611972825.10>, Kolda and Mayo (2011) <doi:10.1137/100801482>, and Kolda and Bader (2006) <doi:10.1137/1.9781611972764.26>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rTensor, methods, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-05-11 07:12:29 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-05-14 09:50:02 UTC

More information about symTensor at CRAN
Permanent link

New package solvency2rfr with initial version 0.1.0
Package: solvency2rfr
Title: 'EIOPA' Risk-Free Interest Rate Term Structures for Solvency II
Version: 0.1.0
Description: Downloads and parses the risk-free interest rate ('RFR') term structures published monthly by the European Insurance and Occupational Pensions Authority ('EIOPA') for Solvency II calculations. Provides a tidy data frame interface to the data, accessed via the official 'EIOPA' feed at <https://www.eiopa.europa.eu/feed/53/rss_en>.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/JanWein/solvency2rfr
BugReports: https://github.com/JanWein/solvency2rfr/issues
Imports: httr2 (>= 1.0.0), readxl (>= 1.4.0), tibble (>= 3.2.0), xml2 (>= 1.3.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-05-11 07:54:25 UTC; 1003177
Author: Jan-Hendrik Weinert [aut, cre]
Maintainer: Jan-Hendrik Weinert <janhendrikweinert@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-14 09:50:06 UTC

More information about solvency2rfr at CRAN
Permanent link

New package OLSengine with initial version 1.0.0
Package: OLSengine
Title: Transparent and Assisted Linear Modeling Engine
Version: 1.0.0
Description: A transparent, modular, and base-R implemented statistical engine for linear regression (OLS), analysis of variance (ANOVA), and logistic regression (Logit). Designed under the principle of "assisted simplicity", it features an integrated methodological "customs" (Aduana) that automatically audits mathematical assumptions (e.g., multicollinearity, heteroskedasticity, normality, and perfect separation) and outputs publication-ready, APA-formatted tables. It deliberately avoids hidden heuristics and external dependencies, ensuring computational transparency and reproducibility for applied research.
License: MIT + file LICENSE
URL: https://github.com/msoto-perez/OLSEngine
BugReports: https://github.com/msoto-perez/OLSEngine/issues
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-05-10 13:12:55 UTC; msoto
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>
Repository: CRAN
Date/Publication: 2026-05-14 09:10:07 UTC

More information about OLSengine at CRAN
Permanent link

New package marsruntime with initial version 0.0.0
Package: marsruntime
Title: Portable Mars Runtime Replay
Version: 0.0.0
Description: Loads, validates, and replays portable 'mars' ModelSpec artifacts from R. The package provides helpers for constructing design matrices, generating predictions, and, when the companion runtime helper is available, fitting portable model specifications for cross-language replay.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/edithatogo/mars
BugReports: https://github.com/edithatogo/mars/issues
Imports: jsonlite
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-10 13:29:53 UTC; doughnut
Author: Dylan A Mordaunt [aut, cre]
Maintainer: Dylan A Mordaunt <dylan.mordaunt@vuw.ac.nz>
Repository: CRAN
Date/Publication: 2026-05-14 09:10:02 UTC

More information about marsruntime at CRAN
Permanent link

Wed, 13 May 2026

New package aieconindex with initial version 0.1.0
Package: aieconindex
Title: Access the 'Anthropic Economic Index' Dataset
Version: 0.1.0
Description: Provides clean, tidy access to the 'Anthropic Economic Index' (AEI) dataset hosted on 'Hugging Face' <https://huggingface.co/datasets/Anthropic/EconomicIndex>. The AEI is a recurring release from 'Anthropic' that maps usage of the 'Claude' family of large language models to occupations and tasks using the 'O*NET' taxonomy and the 'Standard Occupational Classification' system, following the methodology of Handa et al. (2025) <doi:10.48550/arXiv.2503.04761> and the privacy-preserving system 'Clio' of Tamkin et al. (2024) <doi:10.48550/arXiv.2412.13678>. Functions list available releases, fetch raw and enriched usage tables, retrieve task statements, request hierarchies, and country-level breakdowns, compare two releases, join the index to user-supplied data on a shared key, and compute usage-concentration metrics (Herfindahl-Hirschman Index, top-N concentration ratios, Shannon entropy). Data is cached locally for subsequent calls. Reproducibility helpers produce 'BibTeX [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/aieconindex
BugReports: https://github.com/charlescoverdale/aieconindex/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), jsonlite, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-10 07:50:04 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 20:10:02 UTC

More information about aieconindex at CRAN
Permanent link

New package QsRutils with initial version 0.2.1
Package: QsRutils
Title: R Functions Useful for Community Ecology
Version: 0.2.1
Description: A collection of utility functions for community ecology analyses, with emphasis on workflows using the 'phyloseq' and 'vegan' packages. Includes functions for normalizing OTU tables, computing alpha diversity via rarefaction (using a fast C++ implementation), differential abundance comparisons with compact letter displays, primer checking for amplicon sequencing, plotting QIIME 2/DADA2 generated transition stats and miscellaneous helpers for ordination plots and taxonomic name formatting.
Depends: R (>= 4.1.0)
Imports: agricolae, ape, Biostrings, dada2, data.table, dplyr, ggplot2, insect, multcompView, magrittr, phyloseq, Rcpp, readr, scales, ShortRead, SRS, stringr, tibble, vegan (>= 2.4-6)
LinkingTo: Rcpp
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: dunn.test, knitr, rmarkdown, reshape2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/jfq3/QsRutils
BugReports: https://github.com/jfq3/QsRutils/issues
Additional_repositories: https://bioconductor.org/packages/release/bioc
NeedsCompilation: yes
Packaged: 2026-05-09 20:49:14 UTC; johnq
Author: John Quensen [aut, cre, cph]
Maintainer: John Quensen <quensenj@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-13 19:30:02 UTC

More information about QsRutils at CRAN
Permanent link

New package inough with initial version 0.1.0
Package: inough
Version: 0.1.0
Title: Inattention Detection Pipeline for Psychophysical Tasks
Description: Three-stage pipeline for detecting inattention episodes in long psychophysical tasks (200+ trials). Uses accuracy residuals and response pattern signals to locate, sharpen, and formally test candidate inattention regions at trial-level precision.
License: GPL (>= 3)
URL: https://github.com/pawlenartowicz/inough
BugReports: https://github.com/pawlenartowicz/inough/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
LazyData: true
Imports: lme4, ggplot2, patchwork, rlang, jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-08 21:07:34 UTC; plenartowicz
Author: Pawel Lenartowicz [aut, cre] , Maja Willard [aut]
Maintainer: Pawel Lenartowicz <pawellenartowicz@europe.com>
Repository: CRAN
Date/Publication: 2026-05-13 19:10:02 UTC

More information about inough at CRAN
Permanent link

New package html2pdfR with initial version 0.1.0
Package: html2pdfR
Title: Convert Local 'HTML' and 'XHTML' Files to 'PDF'
Version: 0.1.0
Description: Provides functions for converting local 'HTML' and 'XHTML' files to 'PDF' using an external backend. The package includes helper functions for backend setup, file conversion, and an optional 'Tk' graphical interface.
License: GPL-3
Encoding: UTF-8
Imports: utils, tools, tcltk
Suggests: roxygen2, testthat
URL: https://github.com/Lijin-5673/html2pdfR
BugReports: https://github.com/Lijin-5673/html2pdfR/issues
NeedsCompilation: no
Packaged: 2026-05-09 15:01:02 UTC; lijin
Author: Lijin Arakkandathil Thekkathil [aut, cre]
Maintainer: Lijin Arakkandathil Thekkathil <lijin5673@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 19:20:02 UTC

More information about html2pdfR at CRAN
Permanent link

New package geoDeltaAudit with initial version 0.1.0
Package: geoDeltaAudit
Title: Quantifying Variable Change Induced by Administrative Boundary Transformations
Version: 0.1.0
Description: Tools for auditing how analytic variables change when data are transformed across administrative boundary systems. The package is agnostic to data source, variable type, and administrative geography, and is designed to quantify transformation-induced change without attributing blame to any specific boundary definition or allocation scheme.
License: MIT + file LICENSE
URL: https://github.com/phinnphace/geoDeltaAudit
BugReports: https://github.com/phinnphace/geoDeltaAudit/issues
Depends: R (>= 4.1.0)
Imports: dplyr, janitor, rlang, stringr, tibble,
Suggests: knitr, readr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-09 15:11:16 UTC; phinnmarkson
Author: Phinn Markson [aut, cre]
Maintainer: Phinn Markson <markson.2@osu.edu>
Repository: CRAN
Date/Publication: 2026-05-13 19:10:07 UTC

More information about geoDeltaAudit at CRAN
Permanent link

New package boids4R with initial version 0.3.1
Package: boids4R
Title: Reynolds-Style Boids and Swarm Simulation
Date: 2026-05-08
Version: 0.3.1
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides deterministic two- and three-dimensional boids and swarm simulations for R. The package implements Reynolds-style separation, alignment, and cohesion rules with optional obstacles, attractors, predators, species parameters, and reproducible frame export. Simulation state is renderer-neutral; optional adapters can hand frame data to visualization packages such as 'ggWebGL'. The model follows Reynolds (1987) <doi:10.1145/37402.37406>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Rcpp
Suggests: ggWebGL (>= 0.4.0), htmlwidgets, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
URL: https://fbertran.github.io/boids4R/, https://github.com/fbertran/boids4R
BugReports: https://github.com/fbertran/boids4R/issues
NeedsCompilation: yes
Packaged: 2026-05-08 19:05:27 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-05-13 19:50:08 UTC

More information about boids4R at CRAN
Permanent link

New package BagWhiskerPlot with initial version 0.1.0
Package: BagWhiskerPlot
Title: Bag-and-Whisker Plot
Version: 0.1.0
Depends: MASS
Description: Implementation of the Bag-and-Whisker Plot for bivariate data. Provides a single user-facing function bag_whisker() that wraps the computation and plotting helpers in this package. For more details, please refer to the paper "The Bag-and-Whisker Plot: A New Bagplot for Bivariate Data" by Qin, Gang, Tong and Cui (2025) <doi:10.48550/arXiv.2512.06314>.
Encoding: UTF-8
Imports: ggplot2, parallel
License: GPL-3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-10 01:52:22 UTC; sean
Author: Shenghao Qin [aut, cre]
Maintainer: Shenghao Qin <seanqin31@outlook.com>
Repository: CRAN
Date/Publication: 2026-05-13 20:00:15 UTC

More information about BagWhiskerPlot at CRAN
Permanent link

New package bootmlm with initial version 0.1.1
Package: bootmlm
Title: Bootstrap Resampling for Multilevel Models
Version: 0.1.1
Description: Functions for bootstrapping with multilevel data and models (and mixed-effect models). It implements multiple bootstrap methods under the parametric, residual, and case bootstrap categories, as discussed in Van der Leeden, Meijer, and Busing (2008) <doi:10.1007/978-0-387-73186-5_11> and Carpenter, Goldstein, and Rasbash (2003) <doi:10.1111/1467-9876.00415>. Currently it supports fitted objects from the 'lme4' package.
URL: https://github.com/marklhc/bootmlm, https://marklhc.github.io/bootmlm/
BugReports: https://github.com/marklhc/bootmlm/issues
Depends: R (>= 4.1.0)
Imports: boot (>= 1.3-19), lme4 (>= 1.1-16), Matrix (>= 1.2-11), methods, numDeriv, stats, utils
Suggests: nlme, testthat (>= 3.0.0), MASS, knitr, rmarkdown, haven, msm, dplyr, purrr, ggplot2
LazyData: true
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 09:08:06 UTC; marklai
Author: Mark Lai [aut, cre, cph]
Maintainer: Mark Lai <marklhc@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 11:30:15 UTC

More information about bootmlm at CRAN
Permanent link

New package splikit with initial version 2.3.1
Package: splikit
Title: Analysing RNA Splicing in Single-Cell RNA Sequencing Data
Version: 2.3.1
Description: Provides analysis of high-dimensional single-cell splicing data. Offers a framework to extract and work with ratio-based data structures derived from single-cell RNA sequencing experiments. Provides both a modern 'R6' object-oriented interface and direct matrix manipulation functions. Core functionalities are implemented in 'C++' via 'Rcpp' to ensure high performance and scalability on large datasets.
URL: https://csglab.github.io/splikit/, https://github.com/csglab/splikit
BugReports: https://github.com/csglab/splikit/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Matrix, data.table, methods, stats, Rcpp, R6
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-05-09 02:10:17 UTC; arsham79
Author: Arsham Mikaeili Namini [aut, cre]
Maintainer: Arsham Mikaeili Namini <arsham.mikaeilinamini@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2026-05-13 08:10:02 UTC

More information about splikit at CRAN
Permanent link

New package shewhartr with initial version 1.3.0
Package: shewhartr
Title: Statistical Process Control with Tidyverse-Native Workflows
Version: 1.3.0
Description: A comprehensive toolkit for Statistical Process Control (SPC) that combines the rigor of classical Shewhart methodology with modern tidyverse-native interfaces. Provides classical control charts for variables (I-MR, Xbar-R, Xbar-S) and attributes (p, np, c, u), as well as regression-based control charts for processes with trend. Includes Nelson runs tests, Average Run Length (ARL) simulation, process capability indices with bootstrap confidence intervals, Box-Cox transformation guidance, and a clean Phase I / Phase II workflow. All chart objects integrate with broom via 'tidy', 'glance' and 'augment' methods. References: Shewhart (1931, ISBN:0-87389-076-0); Montgomery (2019, ISBN:978-1-119-39930-8); Nelson (1984) <doi:10.1080/00224065.1984.11978921>; Woodall (2000) <doi:10.1080/00224065.2000.11980013>; Box & Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>.
License: GPL-3
URL: https://castlaboratory.github.io/shewhartr/, https://github.com/castlaboratory/shewhartr
BugReports: https://github.com/castlaboratory/shewhartr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: rlang (>= 1.1.0), cli (>= 3.6.0), dplyr (>= 1.1.0), purrr (>= 1.0.0), tibble (>= 3.2.0), tidyselect (>= 1.2.0), ggplot2 (>= 3.5.0), broom (>= 1.0.0), slider (>= 0.3.0), grid, grDevices, stats, utils
Suggests: patchwork (>= 1.1.0), plotly (>= 4.10.0), qcc (>= 2.7), lubridate (>= 1.9.0), testthat (>= 3.2.0), vdiffr (>= 1.0.0), knitr, rmarkdown, pkgdown, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-09 01:02:39 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Raydonal Ospina [aut], Cristiano Ferraz [aut], Castlab [cph, fnd]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-13 08:10:09 UTC

More information about shewhartr at CRAN
Permanent link

New package drogonR with initial version 0.1.6
Package: drogonR
Title: High-Performance HTTP Server for R via 'Drogon'
Version: 0.1.6
Description: Provides an 'R' interface to the 'Drogon' high-performance 'C++' 'HTTP' server framework (<https://github.com/drogonframework/drogon>). Offers a 'plumber'-style application programming interface for building 'REST' services from 'R' with substantially higher throughput.
Depends: R (>= 4.1.0)
Imports: jsonlite, processx, later (>= 1.4.4)
LinkingTo: later
Suggests: testthat (>= 3.0.0), httr2, curl, plumber, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17, GNU make, OpenSSL (optional, for HTTPS)
NeedsCompilation: yes
URL: https://github.com/Zabis13/drogonR
BugReports: https://github.com/Zabis13/drogonR/issues
Packaged: 2026-05-09 13:18:54 UTC; yuri
Author: Yuri Baramykov [aut, cre] , An Tao [ctb, cph] , Shuo Chen [ctb, cph] , Baptiste Lepilleur [ctb, cph] , Christopher Dunn [ctb] , JsonCpp Contributors [ctb, cph] , Bert Belder [ctb, cph] ), mman-win32 contributors [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-05-13 08:20:02 UTC

More information about drogonR at CRAN
Permanent link

New package CircularBoxplots with initial version 0.1.2
Package: CircularBoxplots
Title: Grouped Boxplots for Circular Data
Version: 0.1.2
Description: Plotting functions to create circular boxplots for grouped data. The primary 2-dimensional version creates concentric circular boxplots for specified groups, scaling the width of each boxplot to adjust for human perception. The 3-dimensional version maps these plots onto a torus which is suitable for periodic circular data such as wind direction over the course of a year. An example dataset of this type is provided for reference. For examples of circular boxplots and additional implementation details, see Berlinski et al. (2026) <doi:10.48550/arXiv.2602.05335>.
License: GPL-2
Encoding: UTF-8
Imports: circular, plotrix, rgl, RColorBrewer, plot3D, grDevices
NeedsCompilation: no
Packaged: 2026-05-08 23:08:38 UTC; josh
Author: Josh Berlinski [aut, cre], Fan Dai [aut]
Maintainer: Josh Berlinski <jdberlinski@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-05-13 08:10:17 UTC

More information about CircularBoxplots at CRAN
Permanent link

New package BayesPocket with initial version 0.1.0
Package: BayesPocket
Title: Bayesian Causal Inference for Periodontal Diseases in Longitudinal Studies
Version: 0.1.0
Description: Implements the Mixed Treatment-State Causal Model (MTSCM), a Bayesian framework for estimating causal effects of clinical interventions on bounded continuous outcomes in longitudinal observational studies with irregular visits. The methodology is specifically designed for periodontal disease research, where discrete treatments and continuous disease states (e.g., proportion of periodontal pockets exceeding 3 mm) reciprocally influence one another under dynamic feedback. The package integrates a double-censored Tobit likelihood to handle boundary mass at zero and one, subject-specific random effects to capture within-subject correlation, and flexible tree-based ensemble priors (standard BART and Soft BART) to model complex nonlinear interactions without parametric restrictions. Causal identification is established under the potential outcomes framework via the G-computation formula, with key estimands including the Mixed Average Potential Outcome (MAPO) and the Mixed Probability of Dise [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats (>= 4.4.2), GIGrvg(>= 0.8), truncnorm(>= 1.0-9), progress(>= 1.2.3), stochtree(>= 0.1.1), SoftBart(>= 1.0.3), parallel(>= 4.4.2), pbmcapply(>= 1.5.1)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-08 20:31:34 UTC; kevin_liu
Author: Qingyang Liu [aut, cre] , Debdeep Pati [aut], Yang Ni [aut], Dipankar Bandyopadhyay [aut]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 08:10:22 UTC

More information about BayesPocket at CRAN
Permanent link

New package tscv with initial version 1.0.0
Package: tscv
Title: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation
Version: 1.0.0
Description: Provides functions and tools for tidy time series analysis and forecasting as well as time series cross-validation. This is mainly a set of wrapper and helper functions as well as some extensions for the packages 'tsibble', 'fable', and 'fabletools'.
License: GPL-3
URL: https://github.com/ahaeusser/tscv, https://ahaeusser.github.io/tscv/
BugReports: https://github.com/ahaeusser/tscv/issues
Depends: R (>= 4.1.0)
Imports: rlang, dplyr, ggplot2, grDevices, tidyr, tidyselect, tibble, slider, lubridate, purrr, tsibble, forecast, fabletools, stats, qqplotr, scales, distributional, tidytext
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, tidyverse, fable, feasts, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-08 10:52:46 UTC; Alexander Häußer
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>
Repository: CRAN
Date/Publication: 2026-05-13 07:30:02 UTC

More information about tscv at CRAN
Permanent link

New package R.ComDim with initial version 1.0.0
Package: R.ComDim
Title: Common Dimensions (ComDim) Multi-Block Analysis
Version: 1.0.0
Description: Common Dimensions (ComDim) is a multi-block method that simultaneously considers multiple data tables to find latent components that are common to all the tables as well as those specific to each data table, along with the contribution of each table to each component. See Jouan-Rimbaud Bouveresse and Rutledge (2024) <doi:10.1002/cem.3454>, Boccard and Rutledge (2013) <doi:10.1016/j.aca.2013.01.022>, and Puig-Castellví et al. (2021) <doi:10.1016/j.chemolab.2021.104422>.
License: MIT + file LICENSE
Depends: methods
Imports: pracma, utils, ggplot2, ConsensusOPLS
Suggests: gridExtra, imputeLCMD, ica, MultiAssayExperiment, SummarizedExperiment, ropls
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-08 14:28:08 UTC; Xisco
Author: Francesc Puig-Castellvi [aut, cre]
Maintainer: Francesc Puig-Castellvi <puig.francesc@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 07:40:07 UTC

More information about R.ComDim at CRAN
Permanent link

New package psgc with initial version 0.1.0
Package: psgc
Title: Philippine Standard Geographic Code
Version: 0.1.0
Description: Provides access to the Philippine Standard Geographic Code (PSGC), an official classification system for geographic areas in the Philippines published by the Philippine Statistics Authority (PSA). Includes area names, geographic levels (Region, Province, City, Municipality, Sub-Municipality, and Barangay), and census population figures across multiple PSA publication releases. Offers utilities to look up individual codes, filter by geographic level, track code changes across releases via a built-in crosswalk, and retrieve population data in long or wide format.
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
URL: https://yng-me.github.io/psgc/
NeedsCompilation: no
Packaged: 2026-05-08 08:28:48 UTC; bhasabdulsamad
Author: Bhas Abdulsamad [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-05-13 07:20:02 UTC

More information about psgc at CRAN
Permanent link

New package pkmapr with initial version 1.2.1
Package: pkmapr
Title: Pakistan Spatial Data Toolkit
Version: 1.2.1
Depends: R (>= 4.1.0)
Description: Provides a tidy interface to Pakistan's official administrative boundary data from the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). Downloads and caches spatial data at country, province, district, and tehsil levels as 'sf' objects compatible with the 'tidyverse' and geospatial ecosystem. Includes utilities for geographic dictionary lookup, coordinate reference system selection, spatial measurement, and neighbour structure construction for use with 'spdep', 'ggplot2', 'leaflet', and related packages.
License: GPL-3
Encoding: UTF-8
Imports: sf, dplyr, rlang, cli, spdep, jsonlite
Suggests: ggplot2, leaflet, rmapshaper, httptest2, testthat (>= 3.0.0), tmap, knitr, readr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://abdullahumer1101.github.io/pkmapr/, https://github.com/abdullahumer1101/pkmapr/
BugReports: https://github.com/abdullahumer1101/pkmapr/issues
NeedsCompilation: no
Packaged: 2026-05-08 10:25:36 UTC; abdul
Author: Abdullah Umer [aut, cre]
Maintainer: Abdullah Umer <abdullahumer1101@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-13 07:30:11 UTC

More information about pkmapr at CRAN
Permanent link

New package parasiteR with initial version 1.0
Package: parasiteR
Title: A Theorical-Practical Approach to Parasitological Data Analysis
Description: Standardizes and streamlines the processing of parasitological data by integrating descriptive analyses of parasite count distributions, automated calculation of parasitological indices and their dispersion measures, and intuitive visualizations for representing these metrics (Bush et al. 1997 <doi:10.2307/3284227>, Reiczigel et al. 2019 <doi:10.1016/j.pt.2019.01.003>).
License: GPL (>= 3)
Version: 1.0
Encoding: UTF-8
Imports: rlang, ggplot2, magrittr, dplyr, tidyr, stats, BlakerCI, boot, readr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-04 20:42:40 UTC; Thermaltake
Author: Exequiel Oscar Furlan [aut] , Juan Manuel Cabrera [aut, cre, cph] , Elisa Helman [aut]
Maintainer: Juan Manuel Cabrera <juan.cabrera@uner.edu.ar>
Repository: CRAN
Date/Publication: 2026-05-13 07:40:02 UTC

More information about parasiteR at CRAN
Permanent link

New package otTensor with initial version 0.99.0
Package: otTensor
Title: Optimal Tensor Transport
Version: 0.99.0
Depends: R (>= 3.4.0)
Imports: methods,
Suggests: rTensor, knitr, rmarkdown, testthat
Description: An optimal transport (OT) method, which can handle tensors of any order by learning possibly multiple transport plans. For the details of the methods, see Kerdoncuff et al. (2022) <doi:10.1609/aaai.v36i7.20695>.
License: MIT + file LICENSE
URL: https://github.com/rikenbit/otTensor
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-08 11:45:49 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-05-13 07:30:17 UTC

More information about otTensor at CRAN
Permanent link

New package openNCAI with initial version 0.1.0
Package: openNCAI
Title: Calculates a Natural Capital Assets Index
Version: 0.1.0
Date: 2026-05-04
Description: Calculates a regional natural capital assets index (NCAI) following the methodology designed by NatureScot for Scotland as described in Albon, Balana, Brooker & Eastwood (2014) <https://www.nature.scot/sites/default/files/2025-06/naturescot-commissioned-report-751.pdf> and McKenna et al. (2019) <doi:10.1016/J.ECOLIND.2019.105645>. Processes habitat extent and condition data alongside metadata and weighting systems to produce a yearly single figure indexed relative to a base-year value of 100.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/oharakate/openNCAI
BugReports: https://github.com/oharakate/openNCAI/issues
Imports: dplyr, janitor, magrittr, openxlsx, readxl, rlang, slider, stats, stringr, tidyr
VignetteBuilder: knitr
Suggests: ggplot2, knitr, rmarkdown, rprojroot, testthat (>= 3.0.0), tibble
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-08 07:35:49 UTC; kateohara
Author: Kate O'Hara [aut, cre]
Maintainer: Kate O'Hara <k.a.ohara@stir.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-13 07:20:07 UTC

More information about openNCAI at CRAN
Permanent link

New package hydroeval with initial version 0.1.0
Package: hydroeval
Title: Hydrological Evaluation Metrics and Goodness-of-Fit Summaries
Version: 0.1.0
Author: Pritam Parida [aut, cre]
Maintainer: Pritam Parida <pritamparida432@gmail.com>
Description: Computes scalar performance metrics and goodness-of-fit summaries for comparing simulated and observed hydrological or regression values. Provides error metrics, percentage bias, Nash-Sutcliffe efficiency, Kling-Gupta efficiency variants, correlation measures, agreement indices, and comparison tables via gof() and gof_compare(). Metric definitions are registry-governed with shared validation, provenance-aware wrappers, and explicit handling of undefined or degenerate cases. Methods include Nash and Sutcliffe (1970) <doi:10.1016/0022-1694(70)90255-6>, Gupta et al. (2009) <doi:10.1016/j.jhydrol.2009.08.003>, Kling et al. (2012) <doi:10.1016/j.jhydrol.2012.01.011>, and Willmott et al. (2012) <doi:10.1002/joc.2419>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-08 09:55:41 UTC; CodexSandboxOffline
Repository: CRAN
Date/Publication: 2026-05-13 07:30:51 UTC

More information about hydroeval at CRAN
Permanent link

New package featdelta with initial version 0.1.0
Package: featdelta
Title: Incremental Feature Engineering with Database Persistence
Version: 0.1.0
Author: Rudolfs Kregers [aut, cre]
Maintainer: Rudolfs Kregers <rudolfs.kregers@gmail.com>
Description: Define feature logic, compute only new or unprocessed rows, and persist the resulting flat feature table in a database. The package provides an explicit incremental pipeline for fetching source rows, computing feature definitions, and writing computed features to a database table.
License: GPL-3
BugReports: https://github.com/LordRudolf/featdelta/issues
Encoding: UTF-8
Imports: DBI, rlang
Suggests: RSQLite, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-08 18:21:14 UTC; Rudolfs
Repository: CRAN
Date/Publication: 2026-05-13 08:00:02 UTC

More information about featdelta at CRAN
Permanent link

New package curriculr with initial version 0.3.0
Package: curriculr
Title: Data-Driven CVs with 'Quarto' and 'Typst'
Version: 0.3.0
Date: 2026-05-04
Description: Provides tools for producing data-driven curriculum vitae documents from structured data stored in an Excel workbook. The core workflow reads CV content from a workbook, converts it into 'Typst' layout blocks, and renders a polished PDF via the 'Quarto' publishing system. Includes functions for reading and cleaning CV data, building 'Typst' section headings and entries, rendering CV sections from data frames, and scaffolding new CV projects with a standard folder structure and template workbook. Designed to separate content from layout: CV data lives in the spreadsheet, rendering configuration lives in 'Quarto', and transformation logic lives in small, reusable R functions. See the 'Typst' typesetting system at <https://typst.app> and the 'Quarto' publishing system at <https://quarto.org>. Inspired by the 'vitae' package <https://CRAN.R-project.org/package=vitae> and the 'Awesome CV' LaTeX template <https://github.com/posquit0/Awesome-CV>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/erwinlares/curriculr, https://erwinlares.github.io/curriculr/, https://doi.org/10.5281/zenodo.19930400
BugReports: https://github.com/erwinlares/curriculr/issues
Depends: R (>= 4.2.0)
Imports: cli, fs, lifecycle, quarto, readr, openxlsx2
Suggests: knitr, rmarkdown, spelling, withr, pdftools, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-08 18:19:24 UTC; lares
Author: Erwin Lares [aut, cre, cph]
Maintainer: Erwin Lares <erwin.lares@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-13 08:00:08 UTC

More information about curriculr at CRAN
Permanent link

Tue, 12 May 2026

New package vitopack with initial version 0.1.1
Package: vitopack
Title: Actuarial Helpers for Triangles, Exposures and Czech Birth Numbers
Version: 0.1.1
Description: A collection of utilities that grew out of day-to-day non-life actuarial work at Com-PASS Advisory. Provides helpers for building chain-ladder triangles (cumulative, decumulative, run-off, development factors with optional weighting), constructing exposure columns from policy start/end dates, parsing Czech birth numbers ('rodné číslo') into dates, generating smooth RGB color palettes for charts, and loading multi-sheet 'xlsx'/'xlsb' files into a list of data frames. The chain-ladder helpers follow the standard methodology of Mack (1993) <doi:10.2143/AST.23.2.2005092>.
License: MIT + file LICENSE
URL: https://github.com/Com-PASS-OV/vitopack, https://Com-PASS-OV.github.io/vitopack/
BugReports: https://github.com/Com-PASS-OV/vitopack/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: data.table, dplyr, tibble, tidyselect, rlang, lubridate, grDevices, graphics, stats, utils
Suggests: readxl, plotly, testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 17:39:03 UTC; OndřejVít
Author: Ondrej Vit [aut, cre]
Maintainer: Ondrej Vit <ondrej.vit@com-pass.cz>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:02 UTC

More information about vitopack at CRAN
Permanent link

New package nativeORT with initial version 0.1.2
Package: nativeORT
Title: Native 'R' 'ONNX' Runtime
Version: 0.1.2
Description: Provides 'R' native 'ONNX' model inference without requiring 'Python', 'reticulate' bindings, or 'TensorFlow'. This package directly binds the 'ONNX Runtime' C API via 'Rcpp', enabling real-time inference for '.onnx' engines, all within 'R'. Standard CPU execution is supported as well as the 'CoreML' Execution Provider (CEP) for Apple Silicon, all without external bindings. This package handles OS detection, linking 'ONNX' libraries, and inference. For more information about 'ONNX Runtime' see <https://onnxruntime.ai/>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, digest, glue
SystemRequirements: libonnxruntime (>= 1.20)
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/calebmcarr/nativeORT
BugReports: https://github.com/calebmcarr/nativeORT/issues
NeedsCompilation: yes
Packaged: 2026-05-07 01:44:21 UTC; calebcarr
Author: Caleb Carr [aut, cre]
Maintainer: Caleb Carr <calebmcarr1@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:08 UTC

More information about nativeORT at CRAN
Permanent link

New package mwmap with initial version 1.0.0
Package: mwmap
Title: Create Maps of Malawi Administrative Boundaries
Version: 1.0.0
Description: Provides a tidy, high-level interface for creating polished maps of Malawi at country, region, district, and Traditional Authority level. Functions handle spatial data retrieval, administrative-name matching, joins from ordinary data frames, numeric and categorical choropleths, labels, highlights, and professional 'ggplot2' styling. Spatial boundary data are provided by the companion package 'mwmapdata'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, grid, mwmapdata (>= 1.0.0), grDevices, rlang, sf, tools, utils
Suggests: ggrepel, ggspatial, plotly, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/bitacanalytics/mwmap
BugReports: https://github.com/bitacanalytics/mwmap/issues
NeedsCompilation: no
Packaged: 2026-05-07 17:27:38 UTC; bitac
Author: Chifundo Bita [aut, cre]
Maintainer: Chifundo Bita <bitac.analytics@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:13 UTC

More information about mwmap at CRAN
Permanent link

New package MetaHunt with initial version 0.1.0
Package: MetaHunt
Title: Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting
Version: 0.1.0
Description: Tools for privacy-preserving meta-analysis of function-valued quantities across heterogeneous studies. Implements the 'MetaHunt' pipeline, including the denoised functional Successive Projection Algorithm (d-fSPA) for basis hunting, constrained weight estimation, Dirichlet regression of weights on study-level covariates, target prediction, and split/cross conformal prediction intervals. Operates on aggregate-level function evaluations, so individual-level data from source studies are not required. Methodology described in Shi, Imai, and Zhang (2026) <doi:10.48550/arXiv.2604.23847>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: quadprog, DirichletReg, stats, graphics, grDevices, withr
Suggests: grf, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/WShi18/MetaHunt, https://wshi18.github.io/MetaHunt/, https://arxiv.org/abs/2604.23847
BugReports: https://github.com/WShi18/MetaHunt/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 00:50:01 UTC; sophiashi
Author: Wenqi Shi [aut, cre], Kosuke Imai [aut], Yi Zhang [aut]
Maintainer: Wenqi Shi <wenqishi18@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:43 UTC

More information about MetaHunt at CRAN
Permanent link

New package mcdabench with initial version 1.1.1
Package: mcdabench
Title: Benchmarking for Multi-Criteria Decision Analysis
Version: 1.1.1
Date: 2026-04-15
Author: Cagatay Cebeci [aut, cre]
Maintainer: Cagatay Cebeci <cebecicagatay@gmail.com>
Description: Performs and benchmarks various Multi-Criteria Decision Analysis (MCDA) methods. MCDA is a decision-making framework used to evaluate and rank alternatives based on multiple conflicting criteria using normalization, weighting, and aggregation techniques. The package implements a wide range of MCDA methods including ARAS (Additive Ratio Assessment), AROMAN (Alternative Ranking Order Method Accounting for two-step Normalization), COCOSO (Combined Compromise Solution), CODAS (Combinative Distance-based Assessment), COPRAS (Complex Proportional Assessment), EDAS (Evaluation based on Distance from Average Solution), ELECTRE (Elimination and Choice Expressing Reality) family (I-IV), FUCA (Faire Un Choix Adequat), GRA (Grey Relational Analysis), MABAC (Multi-Attributive Border Approximation Area Comparison), MAIRCA (Multi-Attributive Ideal-Real Comparative Analysis), MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution), MAUT (Multi-Attribute Utility Theory), MAVT [...truncated...]
Depends: R (>= 4.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: factoextra, ggplot2, gplots, igraph, monochromeR, networkD3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 18:18:47 UTC; user1
Repository: CRAN
Date/Publication: 2026-05-12 19:40:02 UTC

More information about mcdabench at CRAN
Permanent link

New package genproc with initial version 0.2.0
Package: genproc
Title: Robust, Logged and Reproducible Iteration at Organizational Scale
Version: 0.2.0
Description: Turns one-off iterative R procedures (such as for loops, lapply() or pmap() from 'purrr') into production-grade workflows by wrapping them with orthogonal, composable execution layers. Two layers are always active: structured logging with real traceback and per-case timing; and reproducibility capture, which records the R version, loaded package versions, execution environment, the exact iteration mask, and a stat-based fingerprint of every input file referenced in the mask (with a diff_inputs() helper to detect silent drift between runs). Parallel execution (built on the 'future' framework, Bengtsson (2021) <doi:10.32614/RJ-2021-048>), non-blocking background jobs, and opt-in progress reporting (via 'progressr') are implemented as optional, composable layers. Further layers (error replay, content-hash input fingerprinting, content-based case identifiers) are planned and will remain composable with the default layers.
License: MIT + file LICENSE
URL: https://danielrak.github.io/genproc/, https://github.com/danielrak/genproc
BugReports: https://github.com/danielrak/genproc/issues
Imports: future, future.apply, parallel, progressr, stats, utils
Suggests: dplyr, knitr, magrittr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-07 19:14:20 UTC; rheri
Author: Daniel Rakotomalala [aut, cre]
Maintainer: Daniel Rakotomalala <rakdanielh@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:25 UTC

More information about genproc at CRAN
Permanent link

New package ExtremeCI with initial version 0.2.1
Package: ExtremeCI
Title: Realistic Confidence Intervals for Non-Stationary Extreme Value Statistics
Version: 0.2.1
Description: This framework provides versatile algorithms to efficiently infer confidence intervals for extreme value statistics, such as extreme quantiles and return levels, that are representative of the asymmetric uncertainty spread, using extreme value theory extrapolation and the profile likelihood (see e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>). Unlike existing algorithms, the CI endpoints are found without the need for a strict prespecified range, can be covariate-dependent, and can be based on weighted samples. This package is motivated by Zeder et al. (2023) <doi:10.1029/2023GL104090> and by Pasche et al. (2026) <doi:10.1007/s10687-026-00536-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: doFuture, dplyr, evd, foreach, future, ggplot2, magrittr, rlang, stats, tibble, tidyr, tidyselect
URL: https://github.com/opasche/ExtremeCI, https://opasche.github.io/ExtremeCI/
BugReports: https://github.com/opasche/ExtremeCI/issues
NeedsCompilation: no
Packaged: 2026-05-07 15:21:49 UTC; pascheo
Author: Olivier C. Pasche [aut, cre, cph]
Maintainer: Olivier C. Pasche <olivier_pasche@alumni.epfl.ch>
Repository: CRAN
Date/Publication: 2026-05-12 19:10:02 UTC

More information about ExtremeCI at CRAN
Permanent link

New package certify with initial version 0.1.0
Package: certify
Title: Generate Branded PDF Certificates
Version: 0.1.0
Description: Produces formal landscape PDF certificates with configurable color themes, optional logos, decorative borders, laurels, and corner ornaments. Built on 'grid' with no external 'LaTeX' or 'Quarto' dependency. Suitable for academic awards, professional recognition, and similar uses.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6.0)
Imports: grDevices, grid, png
Suggests: testthat (>= 3.0.0)
URL: https://github.com/cwimpy/certify
BugReports: https://github.com/cwimpy/certify/issues
NeedsCompilation: no
Packaged: 2026-05-08 03:45:25 UTC; cwimpy
Author: Cameron Wimpy [aut, cre, cph]
Maintainer: Cameron Wimpy <cwimpy@mac.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:40:12 UTC

More information about certify at CRAN
Permanent link

New package bacontrees with initial version 1.0.0
Package: bacontrees
Title: Bayesian Context Trees for Discrete Sequence Data
Version: 1.0.0
Description: Models discrete sequential data using Bayesian Context Trees. Context trees, also known as Variable Length Markov Chains (VLMCs), are parsimonious Markov models where the order of dependence can vary with the observed past. Provides a generic 'R6' class structure that exposes the full tree for building custom algorithms, exact Bayesian inference via a bottom-up recursive algorithm (closed-form marginal likelihood, Maximum A Posteriori (MAP) tree, exact posterior probabilities, and exact sampling from the posterior), a frequentist estimator via the context algorithm with likelihood-ratio pruning, simulation utilities, and a Metropolis-Hastings sampler. See Paulichen and Freguglia (2026) <doi:10.48550/arXiv.2603.25806>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: R6, stringr, glue, purrr, dplyr, progressr, Rcpp, igraph, ggraph, ggplot2, Brobdingnag
Depends: R (>= 4.1.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-07 21:53:03 UTC; victo
Author: Victor Freguglia [aut, cre] , Thiago Paulichen [ctb]
Maintainer: Victor Freguglia <victorfreguglia@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:31 UTC

More information about bacontrees at CRAN
Permanent link

New package AIDA with initial version 0.1.5
Package: AIDA
Title: Analysis of Interval DAta
Version: 0.1.5
Description: Tools for the analysis of interval-valued data, including construction, visualization, and statistical modeling. The package provides the 'intData' class for representing interval-valued data, along with functions to aggregate microdata and to estimate parameters of latent distributions. Barycenter and covariance matrix estimation is implemented based on the Mallows distance (Oliveira et al. (2025) <doi:10.48550/arXiv.2407.05105>). Robust estimation of the symbolic covariance matrix is implemented via the Interval Minimum Covariance Determinant (IMCD) estimator, enabling outlier detection based on the robust squared Interval-Mahalanobis distance, as proposed by Loureiro et al. (2026) <doi:10.48550/arXiv.2604.26769>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/catarinaploureiro/AIDA, https://catarinaploureiro.github.io/AIDA/
BugReports: https://github.com/catarinaploureiro/AIDA/issues
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Language: en-US
Imports: ggplot2, ggrepel, CerioliOutlierDetection, cellWise, geigen, kde1d, plotly, robustbase, MASS, assertthat, methods
Depends: R (>= 3.6)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), corrplot
NeedsCompilation: no
Packaged: 2026-05-07 22:19:07 UTC; catar
Author: Catarina P. Loureiro [aut, cre]
Maintainer: Catarina P. Loureiro <catarinapadrela@tecnico.ulisboa.pt>
Repository: CRAN
Date/Publication: 2026-05-12 19:30:02 UTC

More information about AIDA at CRAN
Permanent link

New package accelEE with initial version 0.3.1
Package: accelEE
Title: Predict Energy Expenditure from Accelerometer Data
Version: 0.3.1
Description: Simplifies the application of various energy expenditure models. The package is intended as a hub that brings together methods from a variety of other, themed packages such as 'Sojourn' and 'TwoRegression'. Several methods are supported locally as well, including the linear methods of Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289> and the non-linear adaptation by Ellingson et al. (2017) <doi:10.1088/1361-6579/aa6d00>. The package can combine output from different methods and produce standardized output in a range of units.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/paulhibbing/accelEE
BugReports: https://github.com/paulhibbing/accelEE/issues
Imports: digest, dplyr, lubridate, magrittr, nnet, PAutilities (>= 1.3.0), randomForest, rlang, Sojourn (>= 1.1.0), stats, tidyr, tree, TwoRegression (>= 1.0.0), utils
Depends: R (>= 2.10)
Suggests: EE.Data, PhysActBedRest (>= 1.1), PhysicalActivity (>= 0.2.4), read.gt3x (>= 1.0.2)
NeedsCompilation: no
Packaged: 2026-05-07 21:58:54 UTC; phibbing
Author: Paul R. Hibbing [aut, cre], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:37 UTC

More information about accelEE at CRAN
Permanent link

New package mfclim with initial version 0.1.1
Package: mfclim
Title: Download Archived Meteorological Data from 'Meteo-France'
Version: 0.1.1
Description: Download meteorological data from the 'Meteo-France' public API 'Données climatologiques' <https://portail-api.meteofrance.fr> and 'SYNOP' open data archives <https://meteo.data.gouv.fr/datasets/686f8595b351c06a3a790867>. It provides functions to authenticate, list stations, retrieve station metadata, request data, download files, and import data directly into 'R'.
License: AGPL (>= 3)
URL: https://github.com/Nmoiroux/mfclim
BugReports: https://github.com/Nmoiroux/mfclim/issues
Imports: httr, utils
Suggests: httptest, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-07 10:52:48 UTC; nm
Author: Nicolas Moiroux [aut, cre]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2026-05-12 18:20:02 UTC

More information about mfclim at CRAN
Permanent link

New package metalcor with initial version 1.0.0
Package: metalcor
Title: Meta-Analysis of Correlated Genetic Association Studies
Version: 1.0.0
Description: The main function performs meta-analysis of genetic association study summary statistics that may be correlated due to cryptic relatedness or other confounders, generalizing inverse variance weighted methods. The function that estimates the correlation structure is also provided standalone. Another key innovation, the estimation of the correlation parameter from the median product of correlated standard normal variables, is provided, as well as a complete set of functions for their underlying distribution: density, cumulative, quantile, and random deviates. Described in Tu and Ochoa (2025) <doi:10.1101/2025.05.10.653279>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats, dplyr, tibble, tidyselect
VignetteBuilder: knitr
URL: https://github.com/OchoaLab/metalcor
BugReports: https://github.com/OchoaLab/metalcor/issues
NeedsCompilation: no
Packaged: 2026-05-06 19:25:54 UTC; viiia
Author: Alejandro Ochoa [aut, cre] , Tiffany Tu [aut]
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>
Repository: CRAN
Date/Publication: 2026-05-12 19:00:02 UTC

More information about metalcor at CRAN
Permanent link

New package fpod with initial version 1.0.1
Package: fpod
Title: Read and Process 'FPOD' and 'CPOD' Data
Version: 1.0.1
Date: 2026-04-30
Description: Read 'FPOD' and 'CPOD' data into 'R' directly from the 'FPOD' data files (i.e. .CP1, .CP3, .FP1 and .FP3 files). The 'FPOD' data files contain binary data, so they can't trivially be read into 'R' using the usual approach, e.g. fread() or read.csv(). This package decodes the binary data and imports all the data in one go (i.e. header/metadata, clicks, 'KERNO' classifications, environmental data and pseudo-WAV data). It is then trivial to aggregate data as you please, e.g. detection-positive-minutes per time block. The advantage of handling data processing in 'R' is a long topic, but suffice it to say that it 1) simplifies things (many fewer steps, as different vars have to be exported in multiple goes in the official 'FPOD' app), and more importantly, 2) makes data processing transparent and reproducible. References: Pirotta et al. 2014 <doi:10.1111/1365-2435.12146>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp (>= 1.1.0), data.table
Suggests: knitr, mixtools, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
URL: https://github.com/supermoan/fpod
BugReports: https://github.com/supermoan/fpod/issues
NeedsCompilation: yes
Packaged: 2026-05-07 11:21:56 UTC; a21997
Author: Andre Moan [aut, cre, cph]
Maintainer: Andre Moan <andre.moan@hi.no>
Repository: CRAN
Date/Publication: 2026-05-12 18:20:07 UTC

More information about fpod at CRAN
Permanent link

New package easytable with initial version 2.1.1
Package: easytable
Title: Create Multi-Format Regression Tables
Version: 2.1.1
Description: Create publication-ready regression tables in multiple formats, including 'Word', 'HTML', 'LaTeX', and 'PDF', from statistical models. Supports lm() and glm() models. Includes options for marginal effects, control variable grouping, and robust standard errors using methods described in Zeileis (2004) <doi:10.18637/jss.v011.i10>. Tables can be exported to 'Word' via 'flextable' or to 'LaTeX' for 'PDF' output.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, flextable, magrittr, stats
Suggests: knitr, kableExtra, lmtest, sandwich, margins, rmarkdown, testthat (>= 3.0.0), palmerpenguins
VignetteBuilder: knitr
URL: https://github.com/alfredo-hs/easytable
BugReports: https://github.com/alfredo-hs/easytable/issues
NeedsCompilation: no
Packaged: 2026-05-06 20:36:28 UTC; alhdzsz
Author: Alfredo Hernandez Sanchez [aut, cre]
Maintainer: Alfredo Hernandez Sanchez <alhdzsz@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:00:07 UTC

More information about easytable at CRAN
Permanent link

New package dist.structure with initial version 0.5.0
Package: dist.structure
Title: Structured Random Variables for Reliability System Distributions
Version: 0.5.0
Description: Extends the 'algebraic.dist' distribution algebra to random variables with internal structure: coherent reliability systems decomposed into components arranged by a structure function (series, parallel, k-out-of-n, bridge, and arbitrary topologies via minimal path sets). Every 'dist_structure' object is a 'dist', so the full distribution algebra (mean, vcov, sampler, surv, cdf) works automatically via default methods that compose component-level distributions through the topology. Adds structural queries: structure function evaluation, minimal path and cut sets, system signature, critical states, dual, Birnbaum structural importance, and system reliability. Topology shortcut constructors (series_dist, parallel_dist, kofn_dist, bridge_dist) produce ready-to-use dists from component dists and a chosen structure.
License: MIT + file LICENSE
URL: https://github.com/queelius/dist.structure
BugReports: https://github.com/queelius/dist.structure/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: algebraic.dist, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 07:57:13 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-05-12 18:10:02 UTC

More information about dist.structure at CRAN
Permanent link

New package datamuseum with initial version 0.1.0
Package: datamuseum
Title: Spatial and Taxonomic Data Utilities for Specimen Datasets
Version: 0.1.0
Depends: R (>= 4.1.0)
Description: A management tool for specimen data ranging from public museum collections to private specimen repositories. The main types of data addressed are spatial (coordinates, longitude and latitude) and taxonomic data (ranking and nomenclature validity) with some additional options for user-determined dataset refinement. Combined or individual calls to the online repositories of the Global Biodiversity Information Facility (GBIF) via 'rgbif' and the Integrated Taxonomic Information System (ITIS) via 'taxize' enable built-in taxonomic checks.
URL: https://btorgovitsky00.github.io/datamuseum/
BugReports: https://github.com/btorgovitsky00/datamuseum/issues/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, rgbif, taxize, memoise, cachem, rnaturalearth, sf, furrr, future, tibble, tools, stats, utils, rlang
Suggests: R.utils, ggplot2, knitr, rmarkdown, tidyr, lubridate, googlesheets4, maps, rnaturalearthdata
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 10:36:40 UTC; burai
Author: Bryson Y. Torgovitsky [aut, cre], Cheryl L. Ames [aut]
Maintainer: Bryson Y. Torgovitsky <torgovitsky.yerik.bryson.q7@dc.tohoku.ac.jp>
Repository: CRAN
Date/Publication: 2026-05-12 18:30:02 UTC

More information about datamuseum at CRAN
Permanent link

New package terralink with initial version 1.8.0
Package: terralink
Title: Connectivity Corridor Optimization for Raster and Vector Data
Version: 1.8.0
Description: Standalone R implementation of habitat connectivity corridor optimization for raster and vector workflows. Supports scenario-based planning with budget-constrained optimization, optional impassable areas, packaged parity fixtures, and comparative before-and-after connectivity metrics. The package exposes structural, movement-oriented, and species-oriented strategies in a reproducible workflow aligned with a companion GIS plugin while avoiding a desktop GIS dependency.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sorus-tools/terralink-r
BugReports: https://github.com/sorus-tools/terralink-r/issues
Imports: cli, igraph, R6, sf, stars, terra
Suggests: gdistance, ggplot2, knitr, lwgeom, raster, rmarkdown, sp, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 19:05:15 UTC; benbishop
Author: Benjamin Bishop [aut, cre], SORUS Consulting LLC [fnd, cph]
Maintainer: Benjamin Bishop <benjamin.bishop@sorusconsultingllc.com>
Repository: CRAN
Date/Publication: 2026-05-12 17:50:02 UTC

More information about terralink at CRAN
Permanent link

New package mrPStrata with initial version 0.1.0
Package: mrPStrata
Title: Multiply Robust Estimation in Causal Survival Analysis with Treatment Noncompliance
Version: 0.1.0
Description: Provides multiply robust estimators of principal survival causal effects among always-takers, compliers, and never-takers in studies with treatment noncompliance. The methods are based on Cheng et al. (2026) <doi:10.1214/25-AOAS2117>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, magrittr, progress, survival
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 16:44:20 UTC; chaocheng
Author: Chao Cheng [aut, cre], Bo Liu [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chao Cheng <chaoc@wustl.edu>
Repository: CRAN
Date/Publication: 2026-05-12 17:40:02 UTC

More information about mrPStrata at CRAN
Permanent link

New package ModalForecast with initial version 0.1.0
Package: ModalForecast
Title: Parametric Modal ARIMA Models using the SKD Family
Version: 0.1.0
Description: Implements parametric modal Autoregressive Integrated Moving Average (ARIMA) models utilizing the Skewed Distribution (SKD) family. Current distributions supported are the Skew-Normal, Skewed Student-t, and Skewed Laplace. The conditional mode is parameterized and optimized via maximum likelihood using analytical gradients. Includes comprehensive residual diagnostics, robustness options (heavy tails, asymmetry), robust parametric bootstrap prediction intervals, and classical asymptotic inference via the Fisher Information matrix. Methods are described in Galarza, C.E., Lachos, V.H., Cabral, C.R.B., & Castro, L.M. (2017) <doi:10.1002/sta4.140>.
URL: https://github.com/chedgala/ModalForecast
BugReports: https://github.com/chedgala/ModalForecast/issues
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, forecast, ggplot2, gridExtra, scales, grid
Suggests: rmarkdown, testthat (>= 3.0.0), knitr
NeedsCompilation: no
Packaged: 2026-05-06 15:02:39 UTC; chedgala
Author: Christian Galarza [aut, cre]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-05-12 17:40:07 UTC

More information about ModalForecast at CRAN
Permanent link

Mon, 11 May 2026

New package stepssurvey with initial version 0.1.0
Package: stepssurvey
Title: Analyse WHO STEPS Survey Data
Version: 0.1.0
Description: Provides a complete analysis pipeline for the WHO STEPwise Approach to NCD Risk Factor Surveillance (STEPS) as described in Riley et al. (2016) <doi:10.2105/AJPH.2015.302962>. Imports raw survey data ('CSV', 'Excel', 'Stata', 'SPSS'), applies WHO-standard cleaning and recoding, sets up complex survey designs, computes all standard NCD indicators (tobacco, alcohol, diet, physical activity, anthropometry, blood pressure, biochemical), and generates publication-ready tables, visualisations, and 'Word'/'HTML' reports (fact sheet, data book, country report).
License: MIT + file LICENSE
URL: https://github.com/drpakhare/stepssurvey
BugReports: https://github.com/drpakhare/stepssurvey/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, dplyr, DT, flextable, ggplot2, glue, haven, janitor, patchwork, purrr, readr, readxl, rmarkdown, shiny, survey, tools
Suggests: knitr, remotes, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 08:20:10 UTC; drpakhare
Author: Abhijit Pakhare [aut, cre], Ankur Joshi [aut], Lena Charlette [aut], WHO STEPS R Pipeline Contributors [ctb]
Maintainer: Abhijit Pakhare <abhijit.cfm@aiimsbhopal.edu.in>
Repository: CRAN
Date/Publication: 2026-05-11 19:10:03 UTC

More information about stepssurvey at CRAN
Permanent link

New package spatialRegroup with initial version 0.1.0
Package: spatialRegroup
Title: Iterative Spatial Regrouping of Administrative Units by Attributive Affinity
Version: 0.1.0
Description: Evaluates the statistical coherence of existing administrative partitions (e.g. inter-municipal groupings, districts) by identifying spatial units whose attributive profile is more similar to a neighbouring group than to their own. Border units are iteratively reassigned to the group they are most affine with, based on Euclidean or Mahalanobis distance computed on user-supplied numeric variables, with optional per-variable weighting and standardisation. Spatial contiguity is enforced throughout: isolated candidates are reintegrated into their original group, disconnected fragments are resolved, and empty groups are restored. Convergence is monitored via an eta-squared cohesion criterion. The resulting partition can be compared to the original administrative delineation using multilevel models, providing a quantitative measure of boundary inefficiency.
License: GPL-3
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: dplyr, sf, spdep, igraph, rlang
NeedsCompilation: no
Packaged: 2026-05-06 08:49:27 UTC; User
Author: Nicolas Ausello [aut, cre]
Maintainer: Nicolas Ausello <nicolasausello@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-05-11 19:10:09 UTC

More information about spatialRegroup at CRAN
Permanent link

New package gcomputation with initial version 0.34
Package: gcomputation
Title: Causal Inference by using G-Computation
Version: 0.34
Depends: R (>= 4.0.0), survival, hdnom, glmnet, MASS, mice
Imports: graphics, utils, methods, grDevices, stats
Description: Several functions and S3 methods for G-computation and emulation of clinical trials. It allows for flexible estimation of the outcome model, especially penalized regressions (Lasso, Ridge, or Elasticnet) for binary, continuous, counting, or right-censored time-to-event outcomes. Average treatment effect among the entire population (ATE) or among the treated population (ATT) can be estimated. The method for time-to-events is described by Chatton et al. (2020) <doi:10.1038/s41598-020-65917-x>. For a binary outcome, details are available in the paper proposed by Chatton et al. (2022) <doi:10.1177/09622802211047345>.
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>
BugReports: https://github.com/chupverse/gcomputation/issues
Packaged: 2026-05-06 13:05:33 UTC; foucher-y
Author: Yohann Foucher [aut, cre] , Joe De Keizer [aut]
Repository: CRAN
Date/Publication: 2026-05-11 19:20:02 UTC

More information about gcomputation at CRAN
Permanent link

New package gamutil with initial version 0.8.1
Package: gamutil
Title: Utilities to Facilitate Modeling Routines with Generalized Additive Models
Version: 0.8.1
Description: After fitting a Generalized Additive (Mixed) Model, the next step is often to obtain predicted values for certain combinations of predictors for visualization of estimated effects in the model. It involves constructing a new data frame, add predicted values, and finally makes a (contour) plot. This package is intended to facilitate these steps to visualize estimated effects in a generalized additive model. The underlying modeling methodology is described in Wood (2017, ISBN:9781498728331).
Imports: ggplot2, lifecycle, metR, mgcv, RColorBrewer
License: MIT + file LICENSE
URL: https://github.com/msaito8623/gamutil
BugReports: https://github.com/msaito8623/gamutil/issues
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, RhpcBLASctl
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 08:18:14 UTC; motoki
Author: Motoki Saito [aut, cre]
Maintainer: Motoki Saito <motokisaito.8623@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 19:10:19 UTC

More information about gamutil at CRAN
Permanent link

New package combss with initial version 0.1.0
Package: combss
Title: Continuous Optimisation Towards Best Subset Selection
Version: 0.1.0
Author: Benoit Liquet [aut, cre] , Anant Mathur [aut], Sarat Moka [aut]
Maintainer: Benoit Liquet <benoit.liquet@univ-pau.fr>
Description: Best subset selection in generalised linear models via continuous optimisation. Reformulates the NP-hard discrete subset selection problem as a continuous optimisation over the hypercube [0,1]^p, solved via a Frank-Wolfe homotopy algorithm with closed-form ridge inner solves. Supports linear (Gaussian), binary logistic, and multinomial regression. For methodological details see Moka, Liquet, Zhu and Muller (2024) <doi:10.1007/s11222-024-10387-8> and Mathur, Liquet, Muller and Moka (2026) <doi:10.48550/arXiv.2603.21952>.
License: GPL-3
URL: https://github.com/benoit-liquet/combss
Encoding: UTF-8
Imports: glmnet (>= 4.0), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 06:20:54 UTC; benoit
Repository: CRAN
Date/Publication: 2026-05-11 19:10:26 UTC

More information about combss at CRAN
Permanent link

New package cgvR with initial version 0.1.2
Package: cgvR
Title: Interactive 3D Visualization of Large Cayley Graphs via Vulkan
Version: 0.1.2
Description: Provides interactive 3D visualization for large-scale Cayley graphs. Specifically designed for analyzing state spaces of the 'TopSpin' puzzle. Leverages the 'Datoviz' library and Vulkan-based GPU rendering for smooth real-time exploration of large graphs and complex state transitions. Implements efficient coordinate mapping for high-dimensional permutation groups, allowing users to visualize the connectivity and structural properties of the puzzle's state space. The rendering engine provides high-performance visuals and interactive camera controls, making it suitable for mathematical analysis of group-theoretic puzzles within the R environment.
Depends: R (>= 4.1.0)
Imports: grDevices, stats
Suggests: cayleyR, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C17, C++17, GNU make, pkg-config, libvulkan-dev (Linux) or LunarG 'Vulkan' 'SDK' (Windows, macOS), libglfw3-dev (Linux) or glfw via Homebrew (macOS), ffmpeg (optional, for cgv_record_*). Optional configure flags: --with-vulkan / --without-vulkan, --with-simd for SSE4.1 + PCLMUL fpng.
URL: https://github.com/Zabis13/cgvR
BugReports: https://github.com/Zabis13/cgvR/issues
NeedsCompilation: yes
Packaged: 2026-05-06 09:08:39 UTC; yuri
Author: Yuri Baramykov [aut, cre] , Cyrille Rossant [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-05-11 19:20:07 UTC

More information about cgvR at CRAN
Permanent link

New package warmthcompetence with initial version 0.1.5
Package: warmthcompetence
Title: Warmth and Competence Detectors
Version: 0.1.5
Description: Detects perceptions of warmth and competence in American English self-presentation language. Using trained elastic net regression models, this package provides a numerical representation of warmth and competence perceptions. Methods are described here:<https://github.com/bushraguenoun/warmthcompetence/tree/master/paper>.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/bushraguenoun/warmthcompetence, https://bushraguenoun.github.io/warmthcompetence/
BugReports: https://github.com/bushraguenoun/warmthcompetence/issues
Imports: spacyr, caret, dplyr (>= 1.2.0), lexicon, ngram, qdap, politeness, qdapDictionaries, quanteda (>= 4.0.2), sentimentr, stats, tidyr, tidytext, tm, quanteda.textstats
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 18:39:49 UTC; bguenoun
Author: Bushra Guenoun [aut, cre] , Julian Zlatev [aut] , Noah Greifer [ctb]
Maintainer: Bushra Guenoun <bushraguenoun@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 18:40:02 UTC

More information about warmthcompetence at CRAN
Permanent link

New package TidyPanel with initial version 0.1.2
Package: TidyPanel
Title: Universal Messy Panel Data Cleaner
Version: 0.1.2
Description: A robust toolkit designed to standardize and clean complex tabular data from commercial enterprise systems, healthcare records, logistics software, and HR databases. Features include intelligent regex parsing for domain-specific noise (currencies, percentages), gap-based block clustering, and automated messy table resolution. Methods draw on tidy data principles described in Wickham (2014) <doi:10.18637/jss.v059.i10> and the 'readxl' parsing infrastructure described in Wickham & Bryan (2023) <https://readxl.tidyverse.org>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, readxl
Suggests: knitr, rmarkdown, testthat, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 03:35:31 UTC; TonyL
Author: Tony Lu [aut, cre]
Maintainer: Tony Lu <xulunt123@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 19:00:09 UTC

More information about TidyPanel at CRAN
Permanent link

New package ROCsurvcomp with initial version 0.1.2
Package: ROCsurvcomp
Title: ROC-Based Methods for Comparing Survival Distributions with Right, Left, and Doubly Censored Data
Version: 0.1.2
Date: 2026-05-05
Maintainer: Mohammod Mahmudur Rahman <mahmudur.asif13@gmail.com>
Description: Implements nonparametric and semiparametric methods for comparing two survival distributions under non-proportional hazards (non-PH). The methods are based on the Receiver Operating Characteristic (ROC) curve length (Bantis et al. (2021) <doi:10.1002/sim.8869>) and the overlap coefficient (OVL) (Franco-Pereira et al. (2021) <doi:10.1177/09622802211046386>), as well as a joint ROC length-OVL-based approach. These methods do not require prior knowledge of the underlying non-PH pattern and can accommodate right, left, and doubly censored data.
License: GPL-3
Encoding: UTF-8
Imports: survival, interval, stats, utils, ggplot2
Suggests: knitr, rmarkdown, PWEXP, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 20:42:34 UTC; mahmudur_asif
Author: Mohammod Mahmudur Rahman [aut, cre], Leonidas Bantis [aut]
Repository: CRAN
Date/Publication: 2026-05-11 18:50:31 UTC

More information about ROCsurvcomp at CRAN
Permanent link

New package rankPlayedInference with initial version 1.0
Package: rankPlayedInference
Version: 1.0
Date: 2026-05-05
Title: Conditional Probability Distributions in Hearts Card Game
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Depends: R (>= 4.2.0)
Imports: grDevices, graphics
Description: For a given suit, if you add up the number of cards that you hold, plus the number that has been played so far, you can easily determine the number that remains in the combined hands of your three opponents. You can also determine the ("special") card of highest rank of the remaining cards for that suit. At some point, you notice that a certain opponent discards that special card. What can you infer about his holding in that suit? A series of simulation studies are reported here that allows a quantitative inference based on the conditional probability, given that the opponent has the special card. The same procedure is also used for the conditional probability, given that the opponent does not have the special card.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-05 21:11:44 UTC; barryzeeberg
Author: Barry Zeeberg [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-11 18:50:02 UTC

More information about rankPlayedInference at CRAN
Permanent link

New package randomForestSGT with initial version 1.0.0
Package: randomForestSGT
Version: 1.0.0
Date: 2026-05-05
Title: Random Forest Super Greedy Trees
Author: Min Lu [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/randomForestSGT/issues/
Depends: R (>= 4.3.0)
Imports: randomForestSRC (>= 3.6.2), varPro (>= 3.1.0)
Suggests: mlbench, interp, glmnet
Description: Implements random forest Super Greedy Trees (SGTs) for regression. SGTs extend classification and regression tree splitting by fitting lasso-penalized local parametric models at tree nodes, producing sparse univariate and multivariate geometric cuts such as axis-aligned splits, hyperplanes, ellipsoids, hyperboloids, and interaction-based cuts. Trees are grown best-split-first by selecting cuts that reduce empirical risk, and ensembles provide out-of-bag error estimation, prediction on new data, variable filtering, tuning of the hcut complexity parameter, coordinate-descent lasso fitting, variable importance, and local coefficient summaries. For the underlying method, see Ishwaran (2026) <doi:10.1007/s10462-026-11541-6>.
License: GPL (>= 3)
URL: https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2026-05-05 21:52:24 UTC; kogalur
Repository: CRAN
Date/Publication: 2026-05-11 18:50:07 UTC

More information about randomForestSGT at CRAN
Permanent link

New package mectx with initial version 1.1.1
Package: mectx
Title: MEchanistic Clustering - Treatment eXposure Framework
Version: 1.1.1
Description: Implements the MEC-TX (MEchanistic Clustering - Treatment eXposure) framework for encoding, clustering, and survival analysis of real-world oncology treatment timelines. Provides functions for normalising medication records, computing treatment intervals, performing k-means clustering in PCA space, assigning line-of-therapy labels, and comparing survival outcomes across treatment groups. Designed for use with registry-based cohorts such as the ORIEN AVATAR dataset. Methods follow the digital-twin framework described in Dhrubo and Spakowicz (2026) <https://github.com/spakowiczlab/mec-tx>. treatment timelines using the MEC-TX digital-twin framework.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.4.0)
Imports: magrittr, broom, dplyr, forcats, ggnewscale, ggplot2, patchwork, purrr, stats, stringr, survival, tibble, tidyr, umap
Suggests: testthat (>= 3.0.0), devtools, roxygen2
Date: 2026-04-27
NeedsCompilation: no
Packaged: 2026-05-05 19:59:19 UTC; dipankor99
Author: Dipankor Dhrubo [aut, cre], Daniel Spakowicz [aut]
Maintainer: Dipankor Dhrubo <dhrubo.2@osu.edu>
Repository: CRAN
Date/Publication: 2026-05-11 18:40:08 UTC

More information about mectx at CRAN
Permanent link

New package imv with initial version 0.3
Package: imv
Title: Model Comparison via the 'InterModel Vigorish' ('IMV')
Version: 0.3
Description: Computes the 'InterModel Vigorish' ('IMV'), a metric for comparing the predictive accuracy of two models for binary outcomes. The 'IMV' is derived from the expected value of a bettor using one model's predicted probabilities against those of a competing model, and is estimated via k-fold cross-validation. Methods are provided for generalized linear models, mixed-effects models ('lme4'), and item response theory models ('mirt'). See <doi:10.1371/journal.pone.0316491>.
Depends: R (>= 3.5.0)
Suggests: lme4, mirt, testthat (>= 3.0.0)
License: MIT + file LICENSE
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-05 20:49:05 UTC; ben
Author: Ben Domingue [aut, cre], Christian Jackson [ctb]
Maintainer: Ben Domingue <ben.domingue@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 18:40:15 UTC

More information about imv at CRAN
Permanent link

New package curves with initial version 0.4.0
Package: curves
Title: Model-Agnostic Response Curves for Fitted Models
Version: 0.4.0
Description: Create model-agnostic response-curve diagnostics for fitted prediction models. Supports profile curves, partial dependence, individual conditional expectation, and accumulated local effects; univariate curves, bivariate surfaces, ensemble summaries across multiple models, ALE-based interaction ranking, and optional raster-linked exploration with 'terra' and 'shiny'. Static displays are returned as 'ggplot2' plots. For more details on the methods see Molnar (2025) <https://christophm.github.io/interpretable-ml-book/>.
URL: https://github.com/rvalavi/curves
BugReports: https://github.com/rvalavi/curves/issues
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: cowplot, ggplot2 (>= 3.3.6)
Suggests: disdat, knitr, mgcv, plotly, randomForest, rmarkdown, shiny, terra (>= 1.6-41), testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 03:16:32 UTC; val085
Author: Roozbeh Valavi [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-11 19:00:02 UTC

More information about curves at CRAN
Permanent link

New package contentValidity with initial version 0.1.0
Package: contentValidity
Title: Content Validity Indices for Instrument Development
Version: 0.1.0
Description: Computes content validity indices commonly used in instrument development and questionnaire validation, including the Item-level Content Validity Index (I-CVI), Scale-level Content Validity Index (S-CVI), modified kappa adjusted for chance agreement, Aiken's V, and Lawshe's Content Validity Ratio (CVR). Methods follow Lynn (1986) <doi:10.1097/00006199-198611000-00017>, Polit and Beck (2006) <doi:10.1002/nur.20147>, Aiken (1985) <doi:10.1177/0013164485451012>, and Lawshe (1975) <doi:10.1111/j.1744-6570.1975.tb01393.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/Rafhq1403/contentValidity
BugReports: https://github.com/Rafhq1403/contentValidity/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-05 20:54:51 UTC; rashedalqahtani
Author: Rashed Alqahtani [aut, cre]
Maintainer: Rashed Alqahtani <rashed.alqahtani@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 18:40:20 UTC

More information about contentValidity at CRAN
Permanent link

New package ArvindSt with initial version 1.0.0
Package: ArvindSt
Title: Five Novel Stochastic Regression Models with Arvind-Distributed Errors and Effects
Version: 1.0.0
Description: Implements the 'Arvind' distribution and five novel stochastic regression models that replace the traditional Gaussian error assumption with 'Arvind'-distributed errors. The 'Arvind' distribution is a flexible single-parameter continuous distribution on the positive real line characterised by a polynomial numerator with Gaussian-type decay. The package provides complete distribution functions (darvind(), parvind(), qarvind(), rarvind()), maximum likelihood estimation via fit_arvind_mle(), and five model-fitting routines: Random Walk on Coefficients via fit_rw1(), Time-Varying Coefficient Linear Model via fit_tvlm(), Simulation-Extrapolation via fit_simex(), Mixed-Effects Regression via fit_mixed(), and Regime-Switching Hidden Markov Model via fit_hmm(). Additionally provides Monte Carlo forecasting with prediction intervals via forecast_arvind(), comprehensive goodness-of-fit diagnostics (21 metrics and 25 plots) via diagnostics_arvind() and plot_arvind(), k-fold and rolling-window cro [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, ggplot2, forecast, tvReg, lme4, depmixS4, reshape2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 17:16:50 UTC; 30017827
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 18:20:02 UTC

More information about ArvindSt at CRAN
Permanent link

New package rvtk with initial version 0.1.3
Package: rvtk
Title: Bindings for the Visualization Toolkit ('VTK')
Version: 0.1.3
Description: Provides pre-compiled static 'VTK' libraries and headers so that downstream R packages can link against the Visualization Toolkit without requiring users to install 'VTK' manually. On all platforms the package first honours a user-supplied 'VTK_DIR' environment variable. On macOS it then tries 'Homebrew', followed by 'pkg-config'. On Linux it tries 'pkg-config' and well-known system prefixes ('/usr', '/usr/local'). If no suitable system installation is found on macOS or Linux, pre-built static libraries are downloaded automatically from the package's GitHub releases. On Windows the package tries 'VTK_DIR', then 'Rtools45' 'pacman', then common 'MSYS2' prefixes, accepting both static ('.a') and shared ('.dll.a' import libs + DLLs) installations. When shared libraries are used, the VTK DLLs are staged in 'inst/vtk-dlls/' and an '.onLoad' hook prepends that directory to PATH via 'Sys.setenv()' when the package is loaded, and restored in '.onUnload()'. The pre-built fallback downloads stat [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/astamm/rvtk
BugReports: https://github.com/astamm/rvtk/issues
NeedsCompilation: no
Suggests: tinytest
Packaged: 2026-05-03 20:44:21 UTC; stamm-a
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-05-11 07:30:02 UTC

More information about rvtk at CRAN
Permanent link

Fri, 08 May 2026

New package XGeoRTR with initial version 0.7.0
Package: XGeoRTR
Title: Backend-Neutral Explainable Geometry State and Operators
Date: 2026-04-25
Version: 0.7.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides the platform layer for explanation geometry in R. The package standardizes generic explanation tables into a normalized backend state object, computes embeddings, diagnostics, and multiscale level-of-detail summaries, and serializes backend-neutral state for reproducible workflows. It also exposes selected long-table and regular-grid views for downstream use-case packages. Rendering and viewport orchestration are delegated to downstream frontends such as 'ggWebGL'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), uwot
VignetteBuilder: knitr
URL: https://fbertran.github.io/XGeoRTR/, https://github.com/fbertran/XGeoRTR
BugReports: https://github.com/fbertran/XGeoRTR/issues
NeedsCompilation: no
Packaged: 2026-05-05 14:54:49 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-05-08 15:40:09 UTC

More information about XGeoRTR at CRAN
Permanent link

New package mlmodels with initial version 0.1.2
Package: mlmodels
Title: Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing
Version: 0.1.2
Description: Provides a collection of maximum likelihood estimators with a consistent S3 interface. Supported models include Gaussian (linear and log-normal), logit, probit, Poisson, negative binomial (NB1 and NB2), gamma, and beta regression. A distinctive feature is flexible modeling of the scale parameter (variance, dispersion, precision, or shape) alongside the location/mean parameters. The package offers unified predict() methods, multiple variance-covariance estimators (observed information, outer product of gradients, robust/Huber-White, cluster-robust, bootstrap, jackknife), and a full suite of hypothesis tests (Wald, likelihood ratio, information matrix, Vuong, overdispersion, and goodness-of-fit). It is fully compatible with 'marginaleffects' for post-estimation analysis. Methods implemented include Cameron and Trivedi (1990) <doi:10.1016/0304-4076(90)90014-K>, for Poisson overdispersion testing, Manjon and Martinez (2014) <doi:10.1177/1536867X1401400406>, for goodness-of-fit [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cli, hardhat, insight, marginaleffects, MASS, matrixcalc, maxLik, rlang, tibble
Suggests: boot, dplyr, e1071, ggplot2, knitr, patchwork, pkgdown, rmarkdown, testthat (>= 3.0.0), wooldridge
VignetteBuilder: knitr
URL: https://alfisankipan.github.io/mlmodels/
BugReports: https://github.com/alfisankipan/mlmodels/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-05 16:18:02 UTC; alfonso
Author: Alfonso Sanchez-Penalver [aut, cre]
Maintainer: Alfonso Sanchez-Penalver <oneiros_spain@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-08 15:40:02 UTC

More information about mlmodels at CRAN
Permanent link

New package gridmicrotex with initial version 0.0.1
Package: gridmicrotex
Title: Native 'LaTeX' Math Rendering for Grid Graphics
Version: 0.0.1
Description: Renders 'LaTeX' math equations as native R grid graphics objects (grobs) using the 'MicroTeX' 'C++' library as the layout engine. Produces resolution-independent vector output that works on any R graphics device, with no external 'LaTeX' installation required.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17, FreeType (>= 2.9), pkg-config
Depends: R (>= 4.2.0)
LinkingTo: Rcpp, systemfonts
Imports: grDevices, grid, Rcpp, systemfonts, tools
Suggests: ggplot2 (>= 4.0.0), knitr, ragg, rmarkdown, S7, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
URL: https://github.com/adayim/gridmicrotex, https://adayim.github.io/gridmicrotex/
BugReports: https://github.com/adayim/gridmicrotex/issues
NeedsCompilation: yes
Packaged: 2026-05-05 13:49:14 UTC; alim
Author: Alim Dayim [aut, cre] , Nano Michael [cph] , Bundled math font authors [cph]
Maintainer: Alim Dayim <ad938@cam.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-08 15:00:02 UTC

More information about gridmicrotex at CRAN
Permanent link

New package contagionchannels with initial version 0.1.3
Package: contagionchannels
Title: Two-Stage Detection and Attribution of Cross-Border Financial Contagion Channels
Version: 0.1.3
Date: 2026-04-30
Description: Implementation of a two-stage framework for the joint detection-and-attribution of cross-border financial contagion. Stage one detects directional information flows between equity markets via Wavelet-Quantile Transfer Entropy, combining maximal-overlap discrete wavelet decomposition (Percival and Walden, 2000, ISBN:9780521685085) with the transfer-entropy estimator of Schreiber (2000) <doi:10.1103/PhysRevLett.85.461> and quantile conditioning following Han, Linton, Oka and Whang (2016) <doi:10.1016/j.jeconom.2016.03.001>. Stage two attributes each significant directional link to one of five mutually exclusive transmission channels (Trade, Financial, Geopolitical, Behavioural, Monetary Policy) through a multi-method structural identification architecture combining instrumental-variables two-stage least squares with channel-specific external instruments (Stock and Watson, 2018) <doi:10.1111/ecoj.12593>, LASSO-based instrument selection (Belloni, Chernozhukov and Hansen, [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: xts, zoo, waveslim, quantreg, igraph, parallel, MASS, stats, utils
Suggests: hdm, glmnet, ggplot2, dplyr, tidyr, patchwork, RColorBrewer, viridis, scales, readxl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/avishekb9/contagionchannels
BugReports: https://github.com/avishekb9/contagionchannels/issues
NeedsCompilation: no
Packaged: 2026-05-05 14:13:57 UTC; ecolex
Author: Avishek Bhandari [aut, cre] , Ipsita Parida [aut] , Hitesh Kumar Sahu [aut]
Maintainer: Avishek Bhandari <avishekb@iitbbs.ac.in>
Repository: CRAN
Date/Publication: 2026-05-08 15:10:09 UTC

More information about contagionchannels at CRAN
Permanent link

New package topcc with initial version 1.2
Package: topcc
Title: Topological Correlation Coefficient
Version: 1.2
Description: Topological correlation coefficient is used to identify dependencies between Time-Dependent Objects and is applicable to objects such as time series, chaotic systems, and dynamic networks.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: parallel
NeedsCompilation: no
Packaged: 2026-05-05 12:23:22 UTC; niech
Author: Chun-Xiao Nie [aut, cre]
Maintainer: Chun-Xiao Nie <niechunxiao2009@163.com>
Repository: CRAN
Date/Publication: 2026-05-08 14:40:02 UTC

More information about topcc at CRAN
Permanent link

New package mGSFPCA with initial version 0.2.2
Package: mGSFPCA
Title: Estimate Functional Principal Components from Sparse Data
Version: 0.2.2
Description: Implements functional principal component analysis (FPCA) for univariate and multivariate sparse functional data. The package estimates eigenfunctions, eigenvalues, and error variance simultaneously via maximum likelihood estimation (MLE), using a spline basis representation of the eigenfunctions. Orthonormality of the estimated eigenfunctions is enforced through a modified Gram-Schmidt (MGS) orthogonalization procedure applied iteratively during estimation, avoiding direct optimization over the Stiefel manifold and improving numerical stability. The optimal number of basis functions and principal components is selected via an Akaike Information Criterion (AIC)-type criterion, supporting both a full grid-search strategy and a computationally efficient sequential selection approach. Principal component scores are estimated by conditional expectation, enabling reconstruction of individual trajectories over the entire domain from sparse observations. Pointwise confidence intervals for rec [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: fda, pracma, Rcpp, Metrics
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2026-05-05 11:16:36 UTC; fdagroup
Author: Uche Mbaka [aut, cre] , Michelle Carey [ctb]
Maintainer: Uche Mbaka <uche.mbaka@ucd.ie>
Repository: CRAN
Date/Publication: 2026-05-08 14:30:02 UTC

More information about mGSFPCA at CRAN
Permanent link

New package forecastADAPT with initial version 0.1.0
Package: forecastADAPT
Title: Computation of Adaptive Forecast
Version: 0.1.0
Description: The function forAD() implements the adaptive forecasting procedure of Giraitis, Kapetanios and Price (2013) <doi:10.1016/j.jeconom.2013.04.003>. The method can be iterated (e.g., adapt²) and combined with autoregressive (AR) forecasting. These approaches are computationally simple and adapt automatically to structural changes without requiring prior specification of the underlying data-generating process. They are applicable to both stationary and non-stationary time series. The numerical and graphical outputs assist in selecting an appropriate forecasting method, particularly one that minimises mean squared forecast error (MSFE) and yields uncorrelated forecast errors.
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, lubridate, grDevices, knitr, testcorr, xts, zoo
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-05-05 10:34:53 UTC; drvio
Author: Violetta Dalla [aut, cre], Liudas Giraitis [aut], George Kapetanios [aut]
Maintainer: Violetta Dalla <vidalla@econ.uoa.gr>
Repository: CRAN
Date/Publication: 2026-05-08 14:40:08 UTC

More information about forecastADAPT at CRAN
Permanent link

Thu, 07 May 2026

New package wrictools with initial version 1.0.1
Package: wrictools
Title: Analyze Whole Room Indirect Calorimetry (WRIC) Data
Version: 1.0.1
Description: Provides functions, tutorials, and examples to preprocess, analyze, and visualize data from whole room indirect calorimeters (WRIC) by Maastricht Instruments, using the 'OmniCal' software. Some functions may also work with WRICs from other manufacturers, though full functionality has only been validated for Maastricht Instruments devices.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, magrittr, RCurl, readr, rlang, tidyr, readxl
URL: https://github.com/NinaZiegenbein/wrictools, https://ninaziegenbein.github.io/wrictools/
BugReports: https://github.com/NinaZiegenbein/wrictools/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 10:37:37 UTC; au698484
Author: Nina Ziegenbein [aut, cre, cph] , Anders Isaksen [rev]
Maintainer: Nina Ziegenbein <nina.ziegenbein@web.de>
Repository: CRAN
Date/Publication: 2026-05-07 20:30:44 UTC

More information about wrictools at CRAN
Permanent link

New package fb4package with initial version 2.0.0
Package: fb4package
Title: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend
Version: 2.0.0
Description: An implementation of the 'Fish Bioenergetics 4.0' framework described in Deslauriers et al. (2017) <doi:10.1080/03632415.2017.1377558>. Provides automated parameter optimization, multi-prey diet modeling, and comprehensive energy budget simulations for fisheries research and aquaculture applications. An optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup in maximum likelihood estimation while maintaining full backward compatibility. Includes species-specific parameter databases and tools for modeling fish growth, consumption, and metabolism under varying environmental conditions.
URL: https://hansttito.github.io/fb4package/, https://github.com/HansTtito/fb4package
BugReports: https://github.com/HansTtito/fb4package/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, stats, tools, utils, Rcpp, TMB (>= 1.7.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, microbenchmark, future, furrr, spelling
LinkingTo: TMB, RcppEigen
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-04 20:49:54 UTC; hkev2
Author: Hans Ttito [aut, cre]
Maintainer: Hans Ttito <kvttitos@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 20:40:13 UTC

More information about fb4package at CRAN
Permanent link

New package toro with initial version 0.1.0
Package: toro
Title: Interactive & Customisable Maps using the 'MapLibre GL JS' Library
Version: 0.1.0
Description: Create interactive maps that can keep up with complex visualisations and large datasets, with this useful interface to the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) library. Users can create maps directly in the console, or as an HTML widget within 'Shiny' web applications, and render spatial data quickly with many customisable options (clusters, custom icons, map layers, and backgrounds). The goal of the package is to make it easier to interpret and explore large spatial datasets within the context of a 'Shiny' dashboard, without having long loading times waiting for a map to update with new data.
URL: https://epi-interactive-ltd.github.io/toro/, https://github.com/Epi-interactive-Ltd/toro/
BugReports: https://github.com/Epi-interactive-Ltd/toro/issues
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: htmlwidgets, shiny, jsonlite, geojsonsf, base64enc, sf
Suggests: knitr, usethis, rmarkdown, lintr, devtools, dplyr, webshot2, mapview, webshot, devtools, spData, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 23:05:58 UTC; poppy
Author: Poppy Pakinui [aut, cre], Jocelyn Qian [ctb], Nick Snellgrove [ctb], MapLibre contributors [cph] , Turf contributors [cph] , Mapbox contributors [cph] , epi [cph, fnd]
Maintainer: Poppy Pakinui <poppy@epi.group>
Repository: CRAN
Date/Publication: 2026-05-07 16:40:56 UTC

More information about toro at CRAN
Permanent link

New package solidauthr with initial version 0.1.2
Package: solidauthr
Title: Solid OIDC Client Credentials Authentication
Version: 0.1.2
Description: Authenticates against Community Solid Server identity providers using OAuth client credentials with DPoP proofs and performs authenticated requests against Solid resources.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jose, jsonlite, openssl, R6, uuid
Suggests: testthat (>= 3.0.0)
URL: https://github.com/SetMeld/solidauthr
BugReports: https://github.com/SetMeld/solidauthr/issues
NeedsCompilation: no
Packaged: 2026-05-04 17:35:55 UTC; jacksonmorgan
Author: Jackson Morgan [aut, cre, cph]
Maintainer: Jackson Morgan <jackson@setmeld.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:10:03 UTC

More information about solidauthr at CRAN
Permanent link

New package s7contract with initial version 0.1.0
Package: s7contract
Title: 'Go'-Like Interfaces and 'Rust'-Like Traits with 'S7'
Version: 0.1.0
Description: Contract helpers built with 'S7' for expressing runtime protocols around ordinary 'S7' dispatch. Structural interfaces describe small sets of required 'S7' generics, while explicit traits record registered implementations with optional default methods and associated metadata. Optional runtime checks can validate argument and return specifications in contract-scoped evaluation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: S7
Suggests: knitr, rmarkdown, tinytest
VignetteBuilder: knitr
URL: https://github.com/sounkou-bioinfo/s7contract, https://sounkou-bioinfo.github.io/s7contract/
BugReports: https://github.com/sounkou-bioinfo/s7contract/issues
NeedsCompilation: no
Packaged: 2026-05-04 17:03:53 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:10:08 UTC

More information about s7contract at CRAN
Permanent link

New package rocTools with initial version 0.1.3
Package: rocTools
Title: Tools for Distribution-Based ROC Smoothing Using 'pROC'
Version: 0.1.3
Description: Extends the functionality of the 'pROC' package for conducting smoothed receiver operating characteristic (ROC) curve analysis. Enables automated selection of the distribution families to be fit when smoothing ROC curves via the population probability density function estimation strategy described by Leeflang et al. (2008) <doi:10.1373/clinchem.2007.096032>, as well as generation of diagnostic performance and cutoff estimates from the resultant smoothed curves.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: MASS, pROC (>= 1.19.0)
Suggests: testthat (>= 3.0.0)
Author: Grant C. O'Connell [aut, cre]
Maintainer: Grant C. O'Connell <goconnell.phd@gmail.com>
Repository: CRAN
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-04 15:00:56 UTC; gco6
Date/Publication: 2026-05-07 16:10:13 UTC

More information about rocTools at CRAN
Permanent link

New package RMeDPower2 with initial version 1.0.1
Package: RMeDPower2
Title: Design and Modeling for Repeated Measures Studies
Version: 1.0.1
Description: Provides complete functionality to analyse data from repeated measures experiments with hierarchical or crossed experimental designs. Supports testing modeling assumptions, identifying outlier observations and experimental units, estimating statistical power, and performing sample size calculations. Uses linear mixed effects models via 'lme4' and simulation-based power analysis via 'simr'. Handles both normal and non-normal error distributions including binomial and Poisson families. For more details see Shin et al. (2022) <doi:10.1101/2022.07.18.500490>, Bates et al. (2015) <doi:10.18637/jss.v067.i01>, Green and MacLeod (2016) <doi:10.1111/2041-210X.12504>, Hartig (2024) <doi:10.32614/CRAN.package.DHARMa>, Nieuwenhuis et al. (2012) <doi:10.32614/RJ-2012-011>, Millard (2013) <doi:10.1007/978-1-4614-8456-1> and Kuznetsova et al. (2017) <doi:10.18637/jss.v082.i13>.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.0)
Imports: lme4, dplyr, simr, magrittr, ggplot2, ggtext, quantreg, tibble, lmerTest, DHARMa, influence.ME, EnvStats, jsonlite, methods, stats, grDevices, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 19:51:15 UTC; rthomas
Author: Min-Gyoung Shin [aut], Reuben Thomas [aut, cre]
Maintainer: Reuben Thomas <reuben.thomas@gladstone.ucsf.edu>
Repository: CRAN
Date/Publication: 2026-05-07 16:20:34 UTC

More information about RMeDPower2 at CRAN
Permanent link

New package qgarch with initial version 0.1.0
Package: qgarch
Title: Quadratic GARCH-in-Mean Models for Volatility Feedback
Version: 0.1.0
Description: Fits quadratic generalized autoregressive conditional heteroskedasticity-in-mean (QGARCH-M) models motivated by Campbell and Hentschel (1992). The package supports models with lambda fixed at zero, lambda restricted to a function of the remaining parameters, lambda estimated freely, and a threshold extension with state-dependent lambda. It also provides tools for starting values, estimation, forecasting, likelihood-ratio testing, moment diagnostics, and replication with the included monthly U.S. stock market dataset.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: MASS
Suggests: testthat (>= 3.0.0)
LazyData: true
URL: https://github.com/sho-125/qgarch
BugReports: https://github.com/sho-125/qgarch/issues
NeedsCompilation: no
Packaged: 2026-05-05 03:06:02 UTC; sho125
Author: Jedrzej Bialkowski [aut], Sanghyun Hong [aut, cre], Moritz Wagner [aut]
Maintainer: Sanghyun Hong <sanghyun.hong@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:03 UTC

More information about qgarch at CRAN
Permanent link

New package dbProject with initial version 0.1.0
Package: dbProject
Title: Database Connection Management and Utilities for 'dbverse'
Version: 0.1.0
Description: Provides an R6-based project container for managing 'DuckDB' connections, reconnecting lazy database tables after session restarts, and storing metadata for database-backed objects used by packages in the 'dbverse'. The package supplies S4 base classes and generics for database-backed data, helpers for validating 'DuckDB' connections and table names, utilities for creating persistent database views, and methods for writing and restoring pinned lazy tables through the 'pins' package. These tools help package authors and analysts keep database paths, cached connections, and table references synchronized across interactive sessions and project directories.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dbverse-org/dbproject-r, https://dbverse-org.github.io/dbproject-r/
BugReports: https://github.com/dbverse-org/dbproject-r/issues
Depends: R (>= 4.1.0)
Imports: dplyr, duckdb (>= 1.4.0), DBI, pins, dbplyr, methods, glue, cli, R6, connections, yaml
Suggests: knitr, rmarkdown, withr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 19:45:00 UTC; ecruiz
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:19 UTC

More information about dbProject at CRAN
Permanent link

New package datazoom.social with initial version 0.1.0
Package: datazoom.social
Title: Simplify Access to Brazilian Social Data
Version: 0.1.0
Description: Provides tools for downloading and processing microdata from the PNAD Contínua (PNADC, Continuous National Household Sample Survey), a rotating panel survey published quarterly by IBGE (Brazilian Institute of Geography and Statistics). Includes panel identification algorithms for linking individuals across survey waves.
License: MIT + file LICENSE
URL: https://datazoom.com.br/en/
Imports: arrow, data.table, dplyr, magrittr, PNADcIBGE, purrr, readr, rlang, stringr, tidyr
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
BugReports: https://github.com/datazoompuc/datazoom.social/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-04 14:18:36 UTC; Bernardo
Author: Laura Tavares Regadas [aut, cre], DataZoom [fnd], Igor Rigolon Veiga [aut], Arthur Lins de Vasconcellos [aut], Giulia Toscano Imbuzeiro [aut], Guilherme Jardim [aut], Pablo Chaves [aut], Breno Avidos [aut], Bernardo Sieira [aut]
Maintainer: Laura Tavares Regadas <lauratregadas@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:01:37 UTC

More information about datazoom.social at CRAN
Permanent link

New package CepalStatR with initial version 0.9.0
Package: CepalStatR
Title: Access to the 'CEPALSTAT API'
Version: 0.9.0
Description: Explore metadata and retrieve indicators from the statistical portal of the Economic Commission for Latin America and the Caribbean <https://statistics.cepal.org/portal/cepalstat/>. Provides a reproducible interface to access the 'CEPALSTAT API', organize data into tidy formats, and generate both static and interactive visualizations.
License: MIT + file LICENSE
URL: https://github.com/Henry-Osorto/CepalStatR, https://henry-osorto.github.io/CepalStatR/
BugReports: https://github.com/Henry-Osorto/CepalStatR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: base64enc, dplyr, httr2, htmltools, jsonlite, magrittr, reactable, stringr, tidyselect, rlang, collapsibleTree, gridExtra, htmlwidgets
Suggests: ggplot2, gt, knitr, rmarkdown, svglite, testthat (>= 3.0.0), vcr, webmockr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 05:00:20 UTC; henry
Author: Henry Osorto [aut, cre]
Maintainer: Henry Osorto <henry.osorto@unah.edu.hn>
Repository: CRAN
Date/Publication: 2026-05-07 16:43:28 UTC

More information about CepalStatR at CRAN
Permanent link

New package amp.sim with initial version 0.1.0
Package: amp.sim
Title: Flexible Simulation Utilities for Pharmacometric Modeling
Version: 0.1.0
Description: The goal of 'amp.sim' is to transform 'NONMEM' models into R syntax so they can be used for simulations using the 'deSolve', 'nlmixr2' or 'mrgsolve' package. Additionally, functionality is included to aid simulations performed directly in 'NONMEM' and to automatically create shiny apps for simulation models.
URL: https://leidenadvancedpkpd.github.io/amp.sim/, https://github.com/LeidenAdvancedPKPD/amp.sim
BugReports: https://github.com/LeidenAdvancedPKPD/amp.sim/issues
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: quarto
Depends: R (>= 4.1.0)
Imports: stats, utils, MASS, whisker, rlang, cli, lifecycle, NMdata (>= 0.2.3)
Suggests: nonmem2rx, tidyr, shiny, shinyjs, bslib, rstudioapi, deSolve, rxode2, mrgsolve, R3port, ggplot2, dplyr, testthat, quarto
NeedsCompilation: no
Packaged: 2026-05-05 07:57:10 UTC; r.hooijmaijers
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:25 UTC

More information about amp.sim at CRAN
Permanent link

New package surveysearch with initial version 0.1.0
Package: surveysearch
Title: Search and Examine Variables Across Survey Datasets
Version: 0.1.0
Description: Search for variables across multiple survey datasets, examine variable properties (labels, values, missingness), and explore variable context within datasets. Useful for navigating complex survey data with many variables and understanding variable relationships and metadata.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 09:57:24 UTC; malor
Author: Malo Raballand [aut, cre]
Maintainer: Malo Raballand <malo.raballand@sciencespo.fr>
Repository: CRAN
Date/Publication: 2026-05-07 15:51:26 UTC

More information about surveysearch at CRAN
Permanent link

Wed, 06 May 2026

New package tesouror with initial version 0.2.2
Package: tesouror
Title: Access Brazilian National Treasury Open Data APIs
Version: 0.2.2
Description: Provides a unified interface to access open data from the Brazilian National Treasury ('Tesouro Nacional') and related government APIs. Covers six data sources: 'SICONFI' <https://apidatalake.tesouro.gov.br/docs/siconfi/> for fiscal reports ('RREO', 'RGF', 'DCA', 'MSC') and entity information; 'CUSTOS' <https://apidatalake.tesouro.gov.br/docs/custos/> for federal government cost data; 'SADIPEM' <https://apidatalake.tesouro.gov.br/docs/sadipem/> for public debt and credit operations; 'Transferencias Constitucionais' <https://apiapex.tesouro.gov.br/aria/v1/transferencias_constitucionais/docs> for constitutional transfers to states and municipalities; 'SIORG' <https://estruturaorganizacional.dados.gov.br> for federal organizational structure; and 'SIOPE' ('FNDE'/'MEC') for education spending data. Features automatic pagination, in-memory caching, retry logic, and tidy output.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), httr2 (>= 1.0.0), janitor (>= 2.2.0), stringi (>= 1.7.0), stringr (>= 1.5.0), tibble (>= 3.2.0)
Suggests: httptest2 (>= 1.0.0), knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/tesouror, https://strategicprojects.github.io/tesouror/
BugReports: https://github.com/StrategicProjects/tesouror/issues
NeedsCompilation: no
Packaged: 2026-05-04 13:31:43 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Tiago Pereira [aut], Fernando Barbalho [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:02 UTC

More information about tesouror at CRAN
Permanent link

New package ipeval with initial version 0.1.0
Package: ipeval
Title: Evaluation of Interventional Predictions
Version: 0.1.0
Description: Provides methods to evaluate predictive performance of models that estimate risks under hypothetical intervention scenarios (interventional/causal/counterfactual predictions) with observational data subject to treatment-outcome confounding. Inverse probability of treatment weighting (IPTW) is used to construct a pseudopopulation in which all individuals receive a specified intervention, enabling assessment of agreement between predicted risks under the intervention and observed outcomes in the pseudo-population corresponding to that intervention. Package supports binary and time-to-event outcomes under binary interventions made at a single time point. Performance measures supported are AUC (Area Under the receiving operating characteristic Curve), Brier score, observed-expected ratio, and calibration plots. Methods implemented in this package are based on work by Keogh and Van Geloven (2024) <DOI:10.1097/EDE.0000000000001713>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, survival, prodlim
Depends: R (>= 3.5)
URL: https://jvelumc.github.io/ipeval/, https://github.com/jvelumc/ipeval
BugReports: https://github.com/jvelumc/ipeval/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ipw, riskRegression
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 13:57:24 UTC; jwavanegeraat
Author: Jasper van Egeraat [aut, cre], Nan van Geloven [aut, cph], Ruth Keogh [aut, cph], Leiden University Medical Center [fnd]
Maintainer: Jasper van Egeraat <j.w.a.van_egeraat@lumc.nl>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:11 UTC

More information about ipeval at CRAN
Permanent link

New package CanonicalFamilyExtra with initial version 1.0.0
Package: CanonicalFamilyExtra
Title: Extra Canonical Link Family Objects for Generalized Linear Models
Version: 1.0.0
Description: Extra family objects in "weird" scenarios, particularly logistic or log-linear model with unbounded or non-binary/non-integer outcomes. Provides binomial_extra() and poisson_extra() as generalizations of binomial() and poisson(). The use of canonical link with the corresponding working likelihood in glm() ensures convexity, making model fitting reliable and independent of starting value. Robert WM Wedderburn (1974) <doi:10.1093/biomet/61.3.439> and Peter McCullagh (1983) <doi:10.1214/aos/1176346056> justified this method to fit generalized linear (mean) models with quasi-/working likelihood.
License: GPL (>= 2)
Imports: stats
Suggests: gee, geepack, SuperLearner, ipred, glmnet
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-04 13:33:04 UTC; qiuhongx
Author: Hongxiang Qiu [aut, cre]
Maintainer: Hongxiang Qiu <david940408@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:17 UTC

More information about CanonicalFamilyExtra at CRAN
Permanent link

New package ViewR with initial version 1.0.0
Package: ViewR
Title: Interactive Data Viewer, Filter, and Editor
Version: 1.0.0
Description: Provides a feature-rich, popup-based interactive interface for viewing, exploring, filtering, sorting, editing, analysing, and plotting R data frames. Key features include: a searchable, paginated data table with drag-and-drop column reordering and variable-label 'tooltips'; multi-condition filters (AND/OR) with live preview; multi-column sorting; column visibility management with search; an Excel-like cell editor powered by 'rhandsontable'; find-and-replace across one or all columns (literal or regex) with automatic live preview; a Plots tab with auto-detected histograms and bar charts for every column; automatic 'dplyr' code generation reflecting every operation performed in the 'UI'; one-click CSV export; and a Variable Info tab with type, missing values, and summary statistics. The entire interface is launched with a single call to ViewR() and works as a popup dialog, in the 'RStudio' Viewer pane, or in the system browser.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
URL: https://github.com/itsmdivakaran/viewR, https://itsmdivakaran.github.io/viewR/
BugReports: https://github.com/itsmdivakaran/viewR/issues
Imports: shiny (>= 1.7.0), DT (>= 0.27), rhandsontable (>= 0.3.8), shinyjs (>= 2.1.0), shinythemes (>= 1.2.0), htmltools (>= 0.5.4), jsonlite (>= 1.8.0), utils
Suggests: haven, tibble, dplyr, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 06:12:06 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 19:50:07 UTC

More information about ViewR at CRAN
Permanent link

New package survdt with initial version 0.9.0
Package: survdt
Title: Improved Methods for Survival Analysis under Double Truncation
Version: 0.9.0
Description: Contains existing and novel methods for nonparametric analysis and Cox regression analysis with doubly truncated survival data, as described in Vazquez and Xie (2025) <doi:10.1007/s10985-025-09650-5>. Includes survival curves and hazard estimates through nonparametric maximum likelihood estimation, various tests for detecting group differences or non-ignorable sampling bias, and inverse probability weighted Cox regression with several options of nonparametric weights. Also implements diagnostics for key modeling assumptions such as quasi-independent truncation and the positivity assumption. Closed-form standard errors are available for all estimates, i.e. bootstrapping is not required.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, igraph, stats, survival
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-03 21:12:41 UTC; ovazquez
Author: Omar Vazquez [aut, cre, cph] , Sharon X. Xie [ths]
Maintainer: Omar Vazquez <omar.vazquez@pennmedicine.upenn.edu>
Repository: CRAN
Date/Publication: 2026-05-06 19:30:02 UTC

More information about survdt at CRAN
Permanent link

New package OSCARS with initial version 0.1.2
Package: OSCARS
Title: Global Bounded Optimization by the OSCARS-II Algorithm
Version: 0.1.2
Maintainer: Chris Price <chrisj.price@canterbury.ac.nz>
Description: A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, <doi:10.1007/s10898-020-00928-6>). The main function , 'oscars()', performs black-box optimization of a general (including nonsmooth or discontinuous) function subject to simple bounds on the unknowns. If all bounds are finite, oscars searches globally. The main method implements a stochastic direct search method and is derivative free. Testing shows the OSCARS-II algorithm usually finds extrema with fewer function evaluations than similar global derivative-free methods.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-05-04 04:09:09 UTC; cjp64
Author: Chris Price [aut, cre], Trent McDonald [aut, ctb]
Repository: CRAN
Date/Publication: 2026-05-06 19:50:11 UTC

More information about OSCARS at CRAN
Permanent link

New package MFRCD with initial version 0.1.0
Package: MFRCD
Title: Optimal Row-Column Designs for Asymmetrical Factorial Experiments
Version: 0.1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Constructs and analyzes optimal row-column designs for mixed-level factorial experiments under two field situations like square field layouts, where the number of rows and columns are equal, and rectangular field layouts, where one blocking direction is determined by a selected block size. For square field layouts, the package implements direct common-factor constructions by first forming two component treatment arrays, one for each factor or super-factor, and then combining them through a symbolic cell-wise product following Gopinath, Parsad and Mandal (2018) <doi:10.1080/03610926.2017.1376091>. For rectangular field layouts, the package constructs designs by extracting a balanced principal block from a mixed-level block design derived from r package mixedfact, treating it as the principal column, taking the complete treatment set as the principal row, and generating the full row-column design by cyclic modular development. The package also provides diagnostic tools for connecte [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats
Suggests: mixedfact, roxygen2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 03:54:39 UTC; Sukanta
Author: Archana A [aut], Sukanta Dash [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-06 19:50:16 UTC

More information about MFRCD at CRAN
Permanent link

New package ibkrcp with initial version 0.1.0
Package: ibkrcp
Title: R Client for the Interactive Brokers Client Portal API
Version: 0.1.0
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API <https://www.interactivebrokers.com/campus/ibkr-api-page/cpapi-v1/>. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
URL: https://github.com/sactyr/ibkrcp
BugReports: https://github.com/sactyr/ibkrcp/issues
Suggests: httptest2, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: httr2
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-04 04:59:14 UTC; sactyr
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <sactyr@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 19:50:02 UTC

More information about ibkrcp at CRAN
Permanent link

New package DataDNA with initial version 0.1.0
Package: DataDNA
Title: Data Frame Fingerprints and Lineage Figures
Version: 0.1.0
Description: Profiles R data frames as compact data fingerprints using schema, shape, missingness, distribution, category, uniqueness, time, and role signals. It compares versions, identifies close relatives in a library of historical data sets, and renders portable HTML cards plus static PNG/PDF lineage figures for reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: htmltools
NeedsCompilation: no
Packaged: 2026-05-04 10:06:39 UTC; TonyL
Author: Tony Lu [aut, cre]
Maintainer: Tony Lu <xulunt123@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 20:00:02 UTC

More information about DataDNA at CRAN
Permanent link

New package mwmapdata with initial version 1.0.0
Package: mwmapdata
Title: Spatial Boundary Data for Malawi Administrative Levels
Version: 1.0.0
Description: Provides official spatial boundary datasets for Malawi at multiple administrative levels: country (level 0), regions (level 1), districts (level 2), and traditional authorities (level 3). Also includes Lake Malawi boundary data. Boundary data are the Common Operational Datasets (COD-AB) sourced from the National Statistics Office of Malawi and distributed via the OCHA Humanitarian Data Exchange (HDX), version 02 <https://data.humdata.org/dataset/cod-ab-mwi>. Intended for use with the 'mwmap' package or any spatial analysis workflow requiring Malawi administrative boundaries.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
LazyDataCompression: xz
URL: https://github.com/bitacanalytics/mwmapdata, https://github.com/bitacanalytics/mwmap
BugReports: https://github.com/bitacanalytics/mwmapdata/issues
NeedsCompilation: no
Packaged: 2026-05-02 20:09:36 UTC; bitac
Author: Chifundo Bita [aut, cre]
Maintainer: Chifundo Bita <bitac.analytics@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 11:20:02 UTC

More information about mwmapdata at CRAN
Permanent link

Tue, 05 May 2026

New package vegetablesSriLanka with initial version 1.1.0
Package: vegetablesSriLanka
Title: Daily Vegetable Prices of Sri Lanka
Version: 1.1.0
Description: Provides retail and wholesale vegetable price data from two major market hubs in Sri Lanka, Dambulla and Pettah. Includes tools for analyzing, visualizing, and comparing vegetable prices across markets.
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: tsibble, dplyr, naniar, visdat, ggplot2
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-05-03 08:53:13 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre] , Thisuri Jayarathne [aut] , Priyanga Dilini Talagala [aut]
Repository: CRAN
Date/Publication: 2026-05-05 19:20:02 UTC

More information about vegetablesSriLanka at CRAN
Permanent link

New package NonlinearDiD with initial version 0.1.0
Package: NonlinearDiD
Title: Staggered Difference-in-Differences with Nonlinear Outcomes
Version: 0.1.0
Description: Implements difference-in-differences estimators for staggered treatment adoption with binary, count, and other nonlinear outcomes. Extends Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001> to handle the fundamental identification challenges that arise with nonlinear outcome models (logit, probit, Poisson) in heterogeneous treatment timing designs. Provides group-time average treatment effects on the treated (ATT), aggregation schemes, and pre-treatment parallel trends tests appropriate for nonlinear settings. Methods include doubly-robust semiparametric estimators, nonparametric bounds, and an odds-ratio DiD approach for binary outcomes. Methods extend Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>, Roth and Sant'Anna (2023) <doi:10.3982/ECTA19255>, and Wooldridge (2023) <doi:10.1093/ectj/utad016>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, MASS, sandwich, lmtest, ggplot2, Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: did, dplyr, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/NonlinearDiD
BugReports: https://github.com/causalfragility-lab/NonlinearDiD/issues
NeedsCompilation: yes
Packaged: 2026-05-03 16:03:35 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-05 19:30:02 UTC

More information about NonlinearDiD at CRAN
Permanent link

New package emln with initial version 1.1.0
Package: emln
Title: Organize, Handle, and Explore Ecological Multilayer Networks
Version: 1.1.0
Date: 2026-04-20
URL: https://emln.ecomplab.com/
BugReports: https://github.com/Ecological-Complexity-Lab/emln/issues
Description: Data and analysis of ecological multilayer networks, including standardization of data structures and functions to convert between them. Includes an interactive multilayer network visualizer (beta, paper forthcoming), and a collection of 78 empirical ecological multilayer network datasets. This work was supported by research grant ISF (Israel Science Foundation) 1281/20 to Shai Pilosof. Noa Frydman (2023) <doi:10.1111/2041-210X.14225>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: magrittr, stringr, igraph, tibble, dplyr, purrr, tidyr, Matrix, DT, hablar, rlang
Suggests: bipartite, httpuv, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-03 12:56:17 UTC; geutgalai
Author: Noa Frydman [aut], Shai Pilosof [aut, fnd], Shirly Freilikhman [aut], Geut Galai [cre]
Maintainer: Geut Galai <geutg@post.bgu.ac.il>
Repository: CRAN
Date/Publication: 2026-05-05 19:20:12 UTC

More information about emln at CRAN
Permanent link

New package rlmstudio with initial version 0.2.2
Package: rlmstudio
Title: Access and Control LM Studio
Version: 0.2.2
Description: A community-maintained 'R' wrapper for the 'LM Studio' command line interface and API. Provides functions to manage the local daemon and server, download and load models, and interact with Large Language Models (LLMs).
License: MIT + file LICENSE
URL: https://jmgirard.github.io/rlmstudio/, https://github.com/jmgirard/rlmstudio
BugReports: https://github.com/jmgirard/rlmstudio/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, processx, utils
Suggests: httptest2, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-02 18:24:44 UTC; jmgirard
Author: Jeffrey Girard [aut, cph, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:30:02 UTC

More information about rlmstudio at CRAN
Permanent link

New package reems with initial version 0.1.0
Package: reems
Title: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data
Version: 0.1.0
Description: Wrapper and plotting utilities for the spatial population genetics tool 'EEMS' (Estimated Effective Migration Surfaces) for SNP (Single Nucleotide Polymorphism) data, originally provided as a command-line tool written in 'C++' together with an accompanying 'R' package for plotting the output of the 'EEMS' tool itself (<https://github.com/dipetkov/eems/>). There are four main motivations for offering this to 'R' users as a package. Firstly, to remove the installation and configuration burden for the 'EEMS' command-line tool, which relies on manually installed 'Boost' and 'Eigen' system libraries and configuring their location; secondly, to streamline the workflow by having a singe environment (the 'R' system) for the entire analysis rather than a file-based command-line executable whose output files are then to be imported and analysed by a separate 'R' script; thirdly, to make the input formats compatible with other, 'R'-based spatial population genetics tools such as the 'ConStr [...truncated...]
License: GPL-2
Encoding: UTF-8
LinkingTo: BH (>= 1.76.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.9.1)
Imports: Rcpp, methods, raster (>= 2.4-15), sp (>= 1.1-1), sf, stats (>= 3.3.2), utils (>= 3.3.2)
Suggests: future, future.apply, Matrix (>= 1.2.7.1), RColorBrewer (>= 1.1), deldir (>= 0.1), dichromat, rworldmap (>= 1.3), rworldxtra (>= 1.01), knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://codeberg.org/felix_weitkaemper/reems
BugReports: https://codeberg.org/felix_weitkaemper/reems/issues
NeedsCompilation: yes
Packaged: 2026-05-02 10:18:33 UTC; weitkaemper
Author: Felix Weitkaemper [aut, cre, cph] , Desislava Petkova [cph]
Maintainer: Felix Weitkaemper <felix.weitkaemper@german-uds.de>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:02 UTC

More information about reems at CRAN
Permanent link

New package rdstagger with initial version 0.1.0
Package: rdstagger
Title: Staggered Regression Discontinuity with Network Interference
Version: 0.1.0
Description: Implements a unified framework combining staggered difference-in-differences with regression discontinuity designs and network interference. Extends Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001> to settings where treatment assignment is determined by a running variable crossing a cutoff, adoption timing is heterogeneous across units, and spillover effects operate through a known network structure. Provides group-time average treatment effects (direct and spillover), aggregation schemes, bandwidth selection, and pre-treatment falsification tests.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, sandwich, ggplot2, rdrobust,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, covr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/rdstagger
BugReports: https://github.com/causalfragility-lab/rdstagger/issues
NeedsCompilation: no
Packaged: 2026-05-02 22:28:37 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-05 18:50:02 UTC

More information about rdstagger at CRAN
Permanent link

New package precviasBR with initial version 0.1.0
Package: precviasBR
Title: Spatial Data of Road Precariousness in Brazil
Version: 0.1.0
Description: Fornece acesso eficiente à malha espacial de precariedade viária brasileira. O pacote realiza o download em cache e a leitura otimizada (via Apache Arrow) de arquivos Parquet particionados, contendo o cruzamento de variáveis de infraestrutura do Entorno do Censo Demográfico 2022 (IBGE) com a malha viária aberta do Overture Maps. [English] Provides efficient access to the spatial network of road precariousness in Brazil. The package performs cached downloads and optimized reading (via Apache Arrow) of partitioned Parquet files. These files contain the intersection of infrastructure variables from the 2022 Demographic Census (IBGE) with the open street network from Overture Maps. Methodology and datasets are detailed in Passos (2026) <doi:10.5281/zenodo.19711448>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arrow, dplyr, rlang
Suggests: sf
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-02 01:13:20 UTC; ipassos
Author: Iara Passos [aut, cre]
Maintainer: Iara Passos <isteps.data@protonmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:08 UTC

More information about precviasBR at CRAN
Permanent link

New package metrosp with initial version 1.0.0
Package: metrosp
Title: 'São Paulo' Metro Passenger Demand Data
Version: 1.0.0
Description: Provides passenger demand data for the 'São Paulo' metro system, covering 2012 to 2025. Datasets include monthly passenger entries and transported counts by line, average weekday station entries, daily station entries, and spatial geometries for metro and commuter train lines and stations.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
Suggests: dplyr, ggplot2, knitr, quarto, rmarkdown, sf, testthat (>= 3.0.0)
URL: https://github.com/viniciusoike/metrosp, https://viniciusoike.github.io/metrosp/
BugReports: https://github.com/viniciusoike/metrosp/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-05-03 01:36:22 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 19:00:02 UTC

More information about metrosp at CRAN
Permanent link

New package manifesto with initial version 0.0.2
Package: manifesto
Title: Create Project Manifest Files
Version: 0.0.2
Description: Provides 'TOML' representations of packages needed that must be installed to run a project. Includes functions to specify detailed installation functions, validate files, and to use a given file as the requirements for a project. Handles package installations, when necessary, via 'pak'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, jsonlite, pak, tomledit
URL: https://github.com/christopherkenny/manifesto, http://christophertkenny.com/manifesto/
BugReports: https://github.com/christopherkenny/manifesto/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2026-05-01 16:33:21 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-05-05 18:10:02 UTC

More information about manifesto at CRAN
Permanent link

New package DPQBootstrap with initial version 0.1.1
Package: DPQBootstrap
Title: Dirichlet Quantile Bootstrap for Time Series
Version: 0.1.1
Maintainer: Ahmed Hamimes <ahmed.hamimes@univ-constantine3.dz>
Description: Provides a Dirichlet-based quantile bootstrap method for time series with rank-preserving reconstruction and averaged bootstrap samples. The package generates bootstrap trajectories, a mean bootstrap series, and uncertainty intervals for time series resampling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, rlang
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2026-05-01 15:52:54 UTC; c63 AMG
Author: Ahmed Hamimes [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-05 18:10:07 UTC

More information about DPQBootstrap at CRAN
Permanent link

New package discoCVI with initial version 0.1.1
Package: discoCVI
Title: Implementation of the DISCO Metric for Internal Clustering Evaluation
Version: 0.1.1
Description: Implementation of the DISCO (Density-based Internal Score for Clusterings with nOise) metric, a cluster validity index for evaluating density-based clustering results without ground truth labels. DISCO is the first index to explicitly assess the quality of noise point assignments in addition to cluster quality. It uses density-connectivity distance derived from a minimum spanning tree of the mutual-reachability graph, providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better clustering. Based on Beer et al. (2025) <doi:10.48550/arXiv.2503.00127>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.6.0)
Imports: FNN, stats
Suggests: dbscan, testthat (>= 3.0.0)
URL: https://github.com/aminentezari/discoCVI
BugReports: https://github.com/aminentezari/discoCVI/issues
NeedsCompilation: no
Packaged: 2026-05-02 08:55:19 UTC; aminentezari
Author: Amin Entezari [aut, cre] , Davide Chicco [ctb] , Anna Beer [aut] ), Lena Krieger [aut] ), Pascal Weber [aut] )
Maintainer: Amin Entezari <amin_entezari@outlook.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:13 UTC

More information about discoCVI at CRAN
Permanent link

New package dcce with initial version 0.4.2
Package: dcce
Title: Dynamic Common Correlated Effects Estimation for Panel Data
Version: 0.4.2
Description: Estimates heterogeneous coefficient models for large panels with cross-sectional dependence. Implements the Mean Group (MG) estimator of Pesaran and Smith (1995) <doi:10.1016/0304-4076(94)01644-F>, the Common Correlated Effects (CCE) and Dynamic CCE (DCCE) estimators of Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>, the regularized CCE of Juodis (2022), the Augmented Mean Group (AMG) of Eberhardt and Teal (2010), the Interactive Fixed Effects (IFE) estimator of Bai (2009) <doi:10.3982/ECTA6135>, and long-run estimators including Cross-Sectionally augmented Distributed Lag (CS-DL), Cross-Sectionally augmented Autoregressive Distributed Lag (CS-ARDL), and Pooled Mean Group (PMG) (Chudik et al. 2016; Shin et al. 1999). Also provides rolling-window estimation, high-dimensional fixed effect absorption, spatial CCE via user-supplied weight matrices, and structural break tests (Chow and sup-Wald) [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, Matrix, collapse (>= 2.0.0), sandwich, generics, rlang (>= 1.1.0), cli (>= 3.0.0), tibble, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: broom, ggplot2, lifecycle, plm, testthat (>= 3.0.0), knitr, rmarkdown, marginaleffects, parallel
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-02 12:00:44 UTC; musta
Author: Mustapha Wasseja [aut, cre]
Maintainer: Mustapha Wasseja <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:18 UTC

More information about dcce at CRAN
Permanent link

New package arkhaia with initial version 0.5.5
Package: arkhaia
Title: Archaeological and Historical Analysis
Version: 0.5.5
Date: 2026-04-11
Description: Tools for quantitative analysis related to archaeological and historical problems for irregularly spaced time indexed observations, toward evaluating linear dependence and homogeneity over time. Methods include effect sizes for measuring homogeneity, simulation from a truncated Poisson distribution for random right-censoring of count data, and least-squares spectral analysis by lowest frequency iteration for model fitting. Collins-Elliott (2026) <https://volweb.utk.edu/~scolli46/sce_aqysuppl2026.pdf>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.1.0), Rdpack, stats
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-01 15:00:50 UTC; archaeologus
Author: Stephen A. Collins-Elliott [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce@utk.edu>
Repository: CRAN
Date/Publication: 2026-05-05 18:00:02 UTC

More information about arkhaia at CRAN
Permanent link

New package surveycore with initial version 0.8.3
Package: surveycore
Title: Core Survey Analysis Infrastructure
Version: 0.8.3
Description: Provides 'S7'-based infrastructure for survey analysis. Supports Taylor series, replicate weight, and two-phase designs following the methods in 'Lumley' (2004) <doi:10.18637/jss.v009.i08>. Includes design-based estimators such as means, frequencies, and regression models, with weighted 'polychoric' and 'polyserial' correlation following 'Mannan' (2025) <doi:10.2139/ssrn.6580480>. A metadata system automatically preserves 'haven'-style variable labels, value labels, and question-preface attributes through all operations. Uses a 'tidyselect' interface for design specification.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: S7 (>= 0.1.0), rlang (>= 1.0.0), tidyselect (>= 1.2.0), cli (>= 3.6.0), tibble (>= 3.1.0), dplyr (>= 1.1.0), marginaleffects (>= 0.18.0), pbivnorm (>= 0.6.0), stats, graphics
Suggests: testthat (>= 3.0.0), withr (>= 2.5.0), survey (>= 4.0), survival, srvyr (>= 1.0), haven (>= 2.5.0), lifecycle (>= 1.0.0), broom (>= 1.0.0), polycor (>= 0.8.0), jtools (>= 2.2.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/JDenn0514/surveycore, https://jdenn0514.github.io/surveycore/
BugReports: https://github.com/JDenn0514/surveycore/issues
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-05-01 13:28:59 UTC; jacobdennen
Author: Jacob Dennen [aut, cre, cph] , Thomas Lumley [ctb, cph]
Maintainer: Jacob Dennen <jdenn0514@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:12:03 UTC

More information about surveycore at CRAN
Permanent link

New package rocvb with initial version 0.1.0
Package: rocvb
Title: ROC-Based Inference for Diagnostic Accuracy Under Verification Bias
Version: 0.1.0
Maintainer: Shirui Wang <wangshirui1021@gmail.com>
Description: Provides point estimates and confidence intervals for receiver operating characteristic (ROC)–based diagnostic accuracy metrics for tests and biomarkers subject to verification bias. Supported metrics include the Area Under the ROC Curve (AUC), the Youden index, and the sensitivity at a user‑specified specificity level for two‑class continuous tests under missing‑at‑random (MAR) disease verification. Point estimation follows Alonzo and Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x>. Multiple types of confidence intervals are implemented and compared, including bootstrap‑based, Method of Variance Estimates Recovery (MOVER)–based, and empirical likelihood (EL)–based intervals; see Wang et al. (2025) <doi:10.1177/09622802251322989> and <https://github.com/swang1021/rocvb>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: emplik, ggplot2, grid, MASS, pROC, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/swang1021/rocvb
BugReports: https://github.com/swang1021/rocvb/issues
NeedsCompilation: no
Packaged: 2026-05-01 09:22:20 UTC; Ray
Author: Shirui Wang [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-05 15:06:10 UTC

More information about rocvb at CRAN
Permanent link

New package rgsrs with initial version 0.1.0
Package: rgsrs
Title: Query the FDA Global Substance Registration System (GSRS) API
Version: 0.1.0
Description: Provides functions to query the FDA Global Substance Registration System (GSRS) REST API (<https://gsrs.ncats.nih.gov/api/v1/>). Enables programmatic access to substance records, UNII identifiers, synonyms, external codes, and chemical structures for over 170,000 registered substances.
License: MIT + file LICENSE
URL: https://c1au6i0.github.io/rgsrs/, https://github.com/c1au6i0/rgsrs
BugReports: https://github.com/c1au6i0/rgsrs/issues
Depends: R (>= 4.1)
Imports: cli, httr2, janitor, pingr
Suggests: fs, openxlsx, spelling, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-01 11:28:15 UTC; heverz
Author: Claudio Zanettini [aut, cre]
Maintainer: Claudio Zanettini <claudio.zanettini@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:08:24 UTC

More information about rgsrs at CRAN
Permanent link

New package logStirling2 with initial version 0.2.0
Package: logStirling2
Title: Fast Stirling Numbers of the Second Kind
Version: 0.2.0
Description: Provides efficient tools for calculating Stirling numbers of the second kind and their logarithms. Includes an exact arbitrary-precision implementation using 'gmp' that avoids numerical cancellation, a fast C++ backend with internal caching for log-scale calculations, and Temme's asymptotic approximation for very large inputs.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: gmp, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0),
NeedsCompilation: yes
Packaged: 2026-05-01 13:38:40 UTC; jbloo
Author: Jon Blood [aut, cre]
Maintainer: Jon Blood <jblood94@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:26:37 UTC

More information about logStirling2 at CRAN
Permanent link

New package delaydiscount with initial version 0.0.1
Package: delaydiscount
Title: Fit Linearized Hyperbolic Model for Delay Discounting Curves
Version: 0.0.1
Description: Functions for estimating parameters and hyperparameters of the linearized hyperbolic model, and testing equality of hyperparameters.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, magrittr, rlang
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/davideh-vt/delaydiscount, https://davideh-vt.github.io/delaydiscount/
BugReports: https://github.com/davideh-vt/delaydiscount/issues
NeedsCompilation: no
Packaged: 2026-04-30 20:40:16 UTC; deh99
Author: David Hinds [aut, cre], Marco Ferreira [aut], Allison Tegge [ctb], Jeff Stein [ctb]
Maintainer: David Hinds <davideh@vt.edu>
Repository: CRAN
Date/Publication: 2026-05-05 15:22:35 UTC

More information about delaydiscount at CRAN
Permanent link

New package mSigPlot with initial version 2.0.38
Package: mSigPlot
Title: Plotting Mutational Signatures and Mutational Spectra
Version: 2.0.38
Description: Plotting functions for mutational signatures and mutational spectra, including single base substitutions (SBS), doublet base substitutions (DBS), and small insertions and deletions (indels). Generates plots similar to those used previously in Alexandrov et al. (2020)<doi:10.1038/s41586-020-1943-3> and Rozen et al. (2026)<doi:10.5281/zenodo.18451842>.
License: GPL (>= 3)
URL: https://steverozen.github.io/mSigPlot/, https://github.com/steverozen/mSigPlot
BugReports: https://github.com/steverozen/mSigPlot/issues
Imports: Cairo, dplyr, ggplot2, ggrepel, gridExtra, patchwork, scales
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-01 02:08:34 UTC; steve
Author: Steven Rozen [aut, cre]
Maintainer: Steven Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2026-05-05 14:16:10 UTC

More information about mSigPlot at CRAN
Permanent link

New package int3ract with initial version 1.0.7
Package: int3ract
Title: Plotting Two- and Three-Way Interactions
Version: 1.0.7
Description: Provides two- and three-way Johnson-Neyman-(Krause) plots for easier interpretation of interactions. It extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to Bayesian models and three-way interactions. The functions have dedicated routines for classic lm()/glm() models, as well as 'lme4' models and 'RSiena' results. However, the package can also be used model agnostic and thus extends the availability of JN(K)-plots beyond what is currently available. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: dplyr, tibble, tidyr, ggplot2, ggpattern, scales, lme4
Suggests: MCMCpack, RSiena
URL: https://github.com/RWKrause/int3ract
BugReports: https://github.com/RWKrause/int3ract/issues
NeedsCompilation: no
Packaged: 2026-04-30 20:01:34 UTC; rkr235
Author: Robert W. Krause [aut, cre, cph]
Maintainer: Robert W. Krause <robert.w.krause@mailbox.org>
Repository: CRAN
Date/Publication: 2026-05-05 14:06:18 UTC

More information about int3ract at CRAN
Permanent link

New package BRCore with initial version 2.0.4
Package: BRCore
Title: Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
Version: 2.0.4
Description: A unified framework for identification and ecological interpretation of core microbiomes across time and space, enhancing robustness and reproducibility in microbiome data analysis. BRCore implements the workflow proposed by Shade and Stopnisek (2019) and incorporates additional rarefaction steps. The proposed workflow aims to identify persistent microbiomes using abundance-occupancy distributions and neutral community model fitting. For more details on abundance-occupancy distributions see Shade A, Stopnisek N (2019) <doi:10.1016/j.mib.2019.09.008>, for neutral models, see Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x> and Burns et al. (2015) <doi:10.1038/ismej.2015.142>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.5), dplyr (>= 1.1.4), ggplot2 (>= 4.0.1), ggpubr (>= 0.6.2), ggrepel (>= 0.9.6), Hmisc (>= 5.2.4), magrittr (>= 2.0.4), minpack.lm (>= 1.2.4), phyloseq (>= 1.54.0), rlang (>= 1.1.6), scales (>= 1.4.0), stats4 (>= 4.5.2), tibble (>= 3.3.0), tidyr (>= 1.3.1), vegan (>= 2.7.2)
Suggests: devtools (>= 2.4.5), here (>= 1.0.1), knitr (>= 1.50), rmarkdown (>= 2.30), testthat (>= 3.2.3), tidyverse (>= 2.0.0), viridis (>= 0.6.5)
Depends: R (>= 4.4)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/germs-lab/BRCore, https://www.germslab.org/BRCore/
BugReports: https://github.com/germs-lab/BRCore/issues
NeedsCompilation: no
Packaged: 2026-04-30 21:34:14 UTC; baponte
Author: Bolivar Aponte Rolon [aut, cre] , Gian Maria Niccolo Benucci [aut] , Brandon Kristy [aut] , Ashley Shade [aut] , Nejc Stopnisek [aut] , Adina Howe [aut] , Center for Advanced Bioenergy and Bioproducts Innovation [cph, fnd], Great Lakes Bioenergy Rese [...truncated...]
Maintainer: Bolivar Aponte Rolon <bolaponte@pm.me>
Repository: CRAN
Date/Publication: 2026-05-05 14:21:05 UTC

More information about BRCore at CRAN
Permanent link

New package statease with initial version 1.0.0
Package: statease
Title: Simplified Statistical Analysis with Plain-English Interpretation
Version: 1.0.0
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-test (one-sample, independent, and paired), and one-way Analysis of Variance (ANOVA). Each function automatically interprets results in plain English, reporting effect sizes (Cohen's d, eta-squared), confidence intervals, and p-value interpretations. Post-hoc Tukey Honestly Significant Difference (HSD) tests are automatically applied following significant ANOVA results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based on Cohen, J. (1988) <doi:10.4324/9780203771587>, Tukey, J. W. (1949) <doi:10.2307/3001913>, and Shapiro and Wilk (1965) <doi:10.2307/2333709>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/DevWebWacky/statease
BugReports: https://github.com/DevWebWacky/statease/issues
NeedsCompilation: no
Packaged: 2026-04-30 17:03:09 UTC; Wacky
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 13:50:02 UTC

More information about statease at CRAN
Permanent link

New package fcmfd with initial version 0.1.0
Package: fcmfd
Title: Fuzzy C-Means for Fuzzy Data
Version: 0.1.0
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), Fuzzy and possibilistic clustering for fuzzy data, <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), A validity measure for fuzzy clustering, <doi:10.1109/34.85677>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-30 17:50:24 UTC; pepeo
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>
Repository: CRAN
Date/Publication: 2026-05-05 13:54:10 UTC

More information about fcmfd at CRAN
Permanent link

Mon, 04 May 2026

New package SmoothPLS with initial version 0.1.5
Package: SmoothPLS
Title: Partial Least-Squares Algorithm for Categorical and Scalar Functional Data
Version: 0.1.5
Date: 2026-04-10
Description: Performs the Partial Least-Squares ('PLS') algorithm for functional data through the concept of active area integration. This approach builds upon the basis expansion methods for functional 'PLS' regression described in Aguilera et al. (2010) <doi:10.1016/j.chemolab.2010.09.007>. The package seamlessly handles both Scalar Functional Data ('SFD') and Categorical Functional Data ('CFD'), providing interpretable regression curves even for discrete state changes. It was developed during a PhD thesis between 'DECATHLON' and French research institute 'INRIA' 2022-2026. The 'SmoothPLS' method does not directly decompose the data into a basis; rather, it assumes the data is known as precisely as desired, and for every 'PLS' component, the weight functions are decomposed into the basis. For both single-state and multi-state 'CFD' as well as 'SFD', the algorithm is implemented for a scalar response. To provide a baseline, a naive 'PLS' method on time-value functions and standard Functional [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/FrancoisBassac/SmoothPLS, https://FrancoisBassac.github.io/SmoothPLS/
BugReports: https://github.com/FrancoisBassac/SmoothPLS/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cfda (>= 0.12.1), dplyr (>= 1.1.4), fda (>= 6.2.0), ggplot2 (>= 3.5.1), MASS (>= 7.3-64), mgcv (>= 1.9-1), pls (>= 2.8-5), pracma (>= 2.4.4), stats (>= 4.4.1), tidyr (>= 1.3.1), utils (>= 4.4.1), rlang (>= 1.1.0), magrittr (>= 2.0.3), future.apply, future
NeedsCompilation: no
Packaged: 2026-04-29 17:11:27 UTC; Francois
Author: Francois Bassac [aut, cre]
Maintainer: Francois Bassac <fr.bassac@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:20:02 UTC

More information about SmoothPLS at CRAN
Permanent link

New package PatientGenerator with initial version 0.1.4
Package: PatientGenerator
Title: Generator of Synthetic Patient Data for the OMOP Common Data Model
Version: 0.1.4
Description: Tools to generate synthetic patient-level test datasets in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Includes a chat-driven generator backed by large language models and an interactive 'shiny' designer for editing CDM test sets.
URL: https://github.com/mi-erasmusmc/PatientGenerator, https://mi-erasmusmc.github.io/PatientGenerator/
BugReports: https://github.com/mi-erasmusmc/PatientGenerator/issues
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, checkmate, data.table, DBI, dplyr, DT, duckdb, ellmer, glue, httr2, jsonlite, r2d3, R6, shiny, stringr, testthat
Suggests: CDMConnector, CohortCharacteristics, CohortConstructor, covr, ggplot2, knitr, rmarkdown, TestGenerator
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-27 09:48:57 UTC; cbarboza
Author: Cesar Barboza [aut, cre] , Ger Inberg [aut] , Adam Black [aut]
Maintainer: Cesar Barboza <c.barboza@mi-erasmusmc.nl>
Repository: CRAN
Date/Publication: 2026-05-04 19:10:02 UTC

More information about PatientGenerator at CRAN
Permanent link

New package glmbayes with initial version 0.9.3
Package: glmbayes
Title: Bayesian Generalized Linear Models (IID Samples)
Version: 0.9.3
Date: 2026-04-30
Description: Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
License: GPL-2
URL: https://github.com/knygren/glmbayes, https://knygren.r-universe.dev/glmbayes
BugReports: https://github.com/knygren/glmbayes/issues
Imports: stats, coda, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>= 0.11-0)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: MASS, R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), spelling
SystemRequirements: Optional OpenCL support. If available, GPU acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2026-04-30 13:46:02 UTC; kjell
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:30:13 UTC

More information about glmbayes at CRAN
Permanent link

New package DiversityStats with initial version 0.1.0
Package: DiversityStats
Title: Diversity Indices with Statistical Inference
Version: 0.1.0
Description: Provides a comprehensive framework for analyzing diversity from frequency/abundance count data. Implements a wide range of classical and entropy-based diversity indices, including Berger-Parker, Simpson (and related variants), Shannon, Brillouin, McIntosh, Margalef, Menhinick and Smith-Wilson. Supports permutation-based hypothesis tests for comparing groups with respect to diversity (global and pairwise comparisons), as well as confidence interval estimation using multiple bootstrap methods. Includes functionality for generating diversity profiles based on parametric families such as Hill numbers, Rényi entropy, and Tsallis entropy. The methods are applicable to ecological community data (species abundance counts) and genetic or phenotypic class frequency data.
License: GPL (>= 2)
Encoding: UTF-8
BuildManual: TRUE
Imports: boot, dplyr, mathjaxr, multcompView, Rdpack, stats, tidyr, utils
Suggests: cluster, EvaluateCore, ggplot2, knitr, pander, rmarkdown, vegan
Copyright: 2025-2026, ICAR-NBPGR
URL: https://github.com/aravind-j/DiversityStats https://aravind-j.github.io/DiversityStats/
BugReports: https://github.com/aravind-j/DiversityStats/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-30 05:49:47 UTC; aravi
Author: J. Aravind [aut, cre] , Suman Roy [aut] , Anju Mahendru Singh [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>
Repository: CRAN
Date/Publication: 2026-05-04 19:10:08 UTC

More information about DiversityStats at CRAN
Permanent link

New package DANDELION with initial version 0.1.0
Package: DANDELION
Title: Discovery of Candidate Disease Genes Using Trans-Regulatory Effects
Version: 0.1.0
Description: Implements the DANDELION method for prioritizing candidate disease-related proximal genes by integrating trans-regulatory association p-values and gene-level trait association p-values. The statistical testing framework builds on the divide-aggregate composite-null test described by Liu et al. (2022) <doi:10.1080/01621459.2021.1914634>. The biological application and SNP/gene-based prioritization workflow are motivated by Salamone et al. (under review), "Leveraging trans-gene regulation prioritizes central genes and pathways in asthma". The package provides functions for identifying distal-proximal gene pairs, organizing significant pairs into genomic loci, and visualizing resulting gene networks.
License: GPL-3
Encoding: UTF-8
Imports: igraph
Suggests: qvalue
Additional_repositories: https://bioconductor.org/packages/release/bioc
NeedsCompilation: no
Packaged: 2026-04-30 07:05:09 UTC; px
Author: Peixin Tian [aut, cre]
Maintainer: Peixin Tian <pxtian@connect.hku.hk>
Repository: CRAN
Date/Publication: 2026-05-04 19:20:09 UTC

More information about DANDELION at CRAN
Permanent link

New package pensar with initial version 0.4.2
Package: pensar
Title: LLM Wiki Engine
Version: 0.4.2
Description: Maintains a persistent, compounding knowledge base from source documents. Ingests articles, chat logs, briefings, and messages into a structured vault of markdown files with 'YAML' frontmatter and wikilinks. The vault is designed for large language model (LLM) agents to summarize, cross-reference, and maintain; humans curate sources, edit, and ask questions.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/pensar
BugReports: https://github.com/cornball-ai/pensar/issues
SystemRequirements: pandoc (for vault_export()), git (for vault_commit())
Imports: yaml
Suggests: saber, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-30 00:11:12 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:02 UTC

More information about pensar at CRAN
Permanent link

New package KMT with initial version 1.0.0
Package: KMT
Title: Khmaladze Martingale Transformation Goodness-of-Fit Test
Version: 1.0.0
Description: Consider a goodness-of-fit problem of testing whether a random sample comes from one sample location-scale model where location and scale parameters are unknown. It is well known that Khmaladze-martingale-transformation method proposed by Khmaladze (1981) <doi:10.1137/1126027> provides asymptotic distribution free test. This package provides test statistic and critical value of the test for normal, Cauchy, and logistic distributions. This package used the main algorithm proposed by Kim (2020) <doi:10.1007/s00180-020-00971-7> and tests for other distributions will be available at the later version.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: Rcpp (>= 1.0.10), ggplot2, stats, utils, Rsolnp, graphics, gumbel
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-04-30 01:49:08 UTC; ji_wo
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <jwboys26@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:19 UTC

More information about KMT at CRAN
Permanent link

New package cosmic with initial version 0.5
Package: cosmic
Title: Conditional Ordinal Stereotype Model for Incident-Level Comparison
Version: 0.5
Description: Implements the Conditional Ordinal Stereotype Model for Incident-Level Comparison (COSMIC), a method for analyzing ordinal outcomes observed across multiple actors within shared events. The model uses a conditional likelihood to remove event-level confounding and estimate actor-specific propensities relative to their peers. Efficient computation is achieved via a dynamic programming algorithm for the Poisson-multinomial normalization term, enabling scalable estimation with Markov chain Monte Carlo. The package provides tools for data preparation, model fitting using Stan, and extraction of posterior summaries for comparative inference. Estimation of police officer propensity to escalate force is the primary motivation for the model. For more details see Ridgeway (2026) "A Conditional Ordinal Stereotype Model to Estimate Police Officers’ Propensity to Escalate Force" <doi:10.1080/01621459.2025.2597050>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: arrangements, cmdstanr (>= 0.9.0), future, future.apply, ggplot2, kableExtra, knitr, MASS, progressr, rmarkdown, testthat (>= 3.0.0), xtable
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
Imports: dplyr, posterior, stats
NeedsCompilation: no
Packaged: 2026-04-30 01:13:44 UTC; greg_
Author: Greg Ridgeway [aut, cre]
Maintainer: Greg Ridgeway <gridge@upenn.edu>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:08 UTC

More information about cosmic at CRAN
Permanent link

New package corteza with initial version 0.6.3
Package: corteza
Title: AI Agent Runtime
Version: 0.6.3
Description: An agent runtime that gives Large Language Models (LLMs) from 'Anthropic' <https://www.anthropic.com/>, 'OpenAI' <https://openai.com/>, 'Moonshot' <https://www.moonshot.ai/>, and 'Ollama' <https://ollama.com/> direct access to a live R session with managed workspace state. Tools execute as R function calls with provenance tracking, and a deterministic retrieval system keeps relevant objects in context across turns. Three entry points: a shell command-line interface (CLI), a console read-eval-print-loop via chat(), and a Model Context Protocol (MCP) server via serve() for external clients.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/corteza
BugReports: https://github.com/cornball-ai/corteza/issues
Depends: R (>= 4.4.0)
Imports: callr, codetools, curl, jsonlite, llm.api, printify, processx, saber
Suggests: fortunes, mx.api, simplermarkdown, tinytest
VignetteBuilder: simplermarkdown
SystemRequirements: On Windows, Rtools45 (R 4.5.x) or Rtools44 (R 4.4.x) is recommended so the 'bash' shell tool is available; minimal installs fall back to a 'cmd' tool. 'git' is required for the git_status, git_diff, and git_log tools (install Git for Windows, or 'pacman -Sy git' from an Rtools shell).
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-30 00:11:49 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:13 UTC

More information about corteza at CRAN
Permanent link

New package rtemis.llm with initial version 0.8.1
Package: rtemis.llm
Title: Large Language Models and Agentic AI
Version: 0.8.1
Date: 2026-04-28
Description: Unified interface for creating LLM and Agent objects, generating responses and performing batch inference based on a type-checked and validated 'S7' backend. Features reasoning, structured output, memory management, and tool use. Supports 'Ollama' <https://docs.ollama.com/api>, 'OpenAI'-compatible <https://developers.openai.com/api/reference/overview>, and 'Anthropic'-compatible <https://platform.claude.com/docs/en/api/getting-started> endpoints.
License: GPL (>= 3)
URL: https://www.rtemis.org, https://docs.rtemis.org/r/llm, https://docs.rtemis.org/r/llm-api
BugReports: https://github.com/rtemis-org/llm/issues
Encoding: UTF-8
Imports: cli, data.table, digest, httr2, jsonlite, rtemis.core, S7
Suggests: keyring, testthat (>= 3.0.0), xml2
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-29 23:50:32 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 12:10:02 UTC

More information about rtemis.llm at CRAN
Permanent link

New package LOCOM2 with initial version 1.0
Package: LOCOM2
Title: A Logistic Regression Model for Testing Microbial Differential Abundance
Version: 1.0
Date: 2026-04-18
Maintainer: Yi-Juan Hu <yijuanhu@bicmr.pku.edu.cn>
Description: Testing differential abundance at individual taxa and in a whole microbial community. The tests are based on the log-ratio of relative abundances. The tests accommodate continuous, discrete (binary, categorical), and multivariate traits, and allow adjustment of confounders. For more details see He (2026) <doi:10.64898/2026.04.07.716976>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.11), stats, permute, parallel, BiocParallel, matrixStats, abind, car
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, survival
URL: https://github.com/yijuanhu/LOCOM2
BugReports: https://github.com/yijuanhu/LOCOM2/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-04-30 01:08:36 UTC; yhu30
Author: Yi-Juan Hu [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-04 12:10:14 UTC

More information about LOCOM2 at CRAN
Permanent link

New package ggWebGL with initial version 0.4.0
Package: ggWebGL
Title: Browser-Native 'WebGL' Rendering for R Graphics
Date: 2026-04-29
Version: 0.4.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides browser-native 'WebGL' rendering for R graphics through 'htmlwidgets'. The package supports grammar-style graphics workflows and renderer-ready specifications for dense analytical and scientific scenes, including point, line, trajectory, raster, vector, mesh, and surface layers, shader-driven display modes, timeline controls, structured views, selection metadata, and publication-oriented static export helpers. Rendering stays in the browser, and the core package remains cross-platform without requiring 'CUDA', 'Metal', or 'OpenCL' toolchains.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, htmltools, htmlwidgets, rlang
Suggests: chromote, knitr, magick, pkgdown, pkgload, plotly, processx, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://fbertran.github.io/ggWebGL/, https://github.com/fbertran/ggWebGL
BugReports: https://github.com/fbertran/ggWebGL/issues
NeedsCompilation: no
Packaged: 2026-04-30 00:23:17 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-05-04 12:10:08 UTC

More information about ggWebGL at CRAN
Permanent link

New package paneltests with initial version 1.0.5
Package: paneltests
Title: Panel Data Pre-Testing and Diagnostic Suite
Version: 1.0.5
Description: Pre-testing and diagnostic tools for panel data analysis. Researchers should run these tests before any panel regression to verify modelling assumptions. The package implements: (1) the Hsiao (2014, <ISBN:978-1-107-65763-2>) homogeneity F-tests (F1/F2/F3), Swamy (1970) <doi:10.2307/1913012> parameter heterogeneity test, and Pesaran (2004) <doi:10.2139/ssrn.572504> cross-sectional dependence test via xtpretest(); (2) missing-data detection, mechanism testing, and imputation for unbalanced panels via xtmispanel(); (3) quantile-regression cross-sectional dependence tests (T_tau and T-tilde_tau statistics) of Demetrescu, Hosseinkouchack and Rodrigues (2023) <doi:10.1016/j.jeconom.2022.09.001> via xtcsdq(); and (4) the panel quantile-regression slope homogeneity S-hat and D-hat statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017) <doi:10.1080/07350015.2015.1054493> via xtqsh(). Together these tests address three fundamental pre-testing questions: (i) are sl [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), plm, zoo, quantreg
NeedsCompilation: no
Packaged: 2026-04-29 17:22:26 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:30:03 UTC

More information about paneltests at CRAN
Permanent link

New package ihsMW with initial version 0.1.5
Package: ihsMW
Title: Access 'Malawi Integrated Household Survey' Data
Version: 0.1.5
Description: Provides programmatic access to the 'Malawi Integrated Household Survey' ('IHS') via the 'World Bank Microdata Library' API <https://microdata.worldbank.org/api-documentation/>. Users can search variables, download data for 'IHS' rounds 2 through 5, and work with complex survey designs, with no manual file management required.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
URL: https://github.com/vituk123/ihsMW
BugReports: https://github.com/vituk123/ihsMW/issues
Imports: httr2 (>= 1.0.0), arrow (>= 12.0.0), dplyr (>= 1.1.0), readr (>= 2.1.0), rlang (>= 1.1.0), cli (>= 3.6.0), rappdirs (>= 0.3.3), vctrs (>= 0.6.0), stringdist (>= 0.9.10)
Suggests: srvyr (>= 1.2.0), survey (>= 4.2.0), httptest2 (>= 0.1.0), testthat (>= 3.0.0), usethis (>= 2.2.0), pkgdown (>= 2.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), withr (>= 2.5.0), jsonlite (>= 1.8.0)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-29 18:43:17 UTC; vitumbikokayuni
Author: Vitumbiko Kayuni [aut, cre]
Maintainer: Vitumbiko Kayuni <vitumbikokayuni@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:40:02 UTC

More information about ihsMW at CRAN
Permanent link

New package heattree with initial version 0.3.1
Package: heattree
Title: A Self-Contained Widget for Interactive Phylogenetic Tree Visualization
Version: 0.3.1
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>
Description: Creates self-contained widgets for interactive phylogenetic tree visualization. This package wraps the 'JavaScript' 'heat-tree' package using the 'htmlwidgets' R package.
URL: https://grunwaldlab.github.io/heattree/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: ape, htmlwidgets
Suggests: testthat (>= 3.0.0), knitr
NeedsCompilation: no
Packaged: 2026-04-29 17:55:45 UTC; fosterz
Author: Zachary Foster [aut, cre] , Niklaus Grunwald [aut] , USDA Agricultural Research Service [fnd]
Repository: CRAN
Date/Publication: 2026-05-04 11:30:08 UTC

More information about heattree at CRAN
Permanent link

New package ErrorTracer with initial version 1.0.2
Package: ErrorTracer
Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Version: 1.0.2
Date: 2026-04-29
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, three-way forecast uncertainty decomposition (parameter / environmental / residual), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: brms (>= 2.20.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, utils
Suggests: loo (>= 2.6.0), bayesplot (>= 1.10.0), scales (>= 1.3.0), tidyr (>= 1.3.0), glmnet (>= 4.1.0), ranger (>= 0.15.0), dplyr (>= 1.1.0), testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 20:42:45 UTC; madrigalrocalj
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:50:07 UTC

More information about ErrorTracer at CRAN
Permanent link

New package DT2 with initial version 0.1.1
Package: DT2
Title: 'DataTables' 2.x for R
Version: 0.1.1
Date: 2026-04-29
Description: A modern R binding for 'DataTables' V2 with modular extension loading, 'Bootstrap 5' styling, 'Shiny' integration (proxy, events, inline inputs), server-side processing helpers, and standalone (non-Shiny) support. Configure 'DataTables' options directly via R lists, a 1:1 mapping to the 'JavaScript' API.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/DT2, https://strategicprojects.github.io/DT2/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: htmlwidgets (>= 1.6.0), htmltools, jsonlite, cli
Suggests: shiny, rlang, dplyr, lubridate, tibble, bslib, knitr, rmarkdown, testthat (>= 3.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 17:22:00 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-04 11:30:13 UTC

More information about DT2 at CRAN
Permanent link

New package datasusr with initial version 0.1.0
Package: datasusr
Title: Fast Access to Brazilian Public Health Data from 'DATASUS'
Version: 0.1.0
Description: Provides fast, in-memory reading of 'DATASUS' 'DBC' files using native 'C' code, along with a catalog of public health data sources, 'FTP' file discovery, caching downloads, and a high-level datasus_fetch() function that lists, downloads, and reads files in a single call. Bundles the 'blast' decompressor from 'zlib' contrib/blast to decode 'PKWare DCL' compressed 'DBC' files and parses 'DBF' records directly for efficient import into tibbles. See the 'DATASUS' file transfer site <https://datasus.saude.gov.br> and Adler (2003) <https://github.com/madler/zlib/tree/master/contrib/blast> for details on the underlying data and compression format.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/datasusr/, https://github.com/StrategicProjects/datasusr
BugReports: https://github.com/StrategicProjects/datasusr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli, curl (>= 5.0.0), dplyr (>= 1.1.0), purrr, rlang (>= 1.0.0), stringr, tibble, tidyr
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
SystemRequirements: C99
Packaged: 2026-04-29 18:58:43 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Mark Adler [ctb, cph]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-04 11:50:02 UTC

More information about datasusr at CRAN
Permanent link

Sat, 02 May 2026

New package savvyGLM with initial version 0.1.1
Package: savvyGLM
Title: Generalized Linear Models with Slab and Shrinkage Estimators
Version: 0.1.1
Description: Provides a flexible framework for fitting generalized linear models (GLMs) with slab and shrinkage estimators. Methods include the Stein estimator (St), Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR), Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS), and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS) algorithm. This approach enhances estimation accuracy, convergence, and robustness in the presence of multicollinearity. The best-fitting model is selected based on the Akaike Information Criterion (AIC). Methods are related to methods described in Marschner (2011) <doi:10.32614/RJ-2011-012>, Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.
License: GPL (>= 3)
URL: https://Ziwei-ChenChen.github.io/savvyGLM/
BugReports: https://github.com/ziwei-chenchen/savvyGLM/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats, MASS, glmnet, expm, parallel, glm2, utils, Matrix, CVXR (>= 1.8.0)
Suggests: devtools, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 09:16:56 UTC; 11605
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Claudio Senatore [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-02 09:10:02 UTC

More information about savvyGLM at CRAN
Permanent link

New package PRBMSdesigns with initial version 1.0.1
Package: PRBMSdesigns
Title: Partially Residual Balanced Multi-Session Designs
Version: 1.0.1
Description: Provides functions for generating novel partially residual balanced multi-session designs. These designs arrange products over sessions and periods under partial balance restrictions and compute canonical efficiency factors for direct and residual (carryover) effects. For general background on PRBMS and related crossover design literature, see Aggarwal and Jha (2006) <doi:10.1080/03610920600695824> and Fardos et al. (2023) <doi:10.18576/jsap/120227>.
License: GPL-2
Encoding: UTF-8
Imports: MASS
NeedsCompilation: no
Packaged: 2026-04-29 08:58:27 UTC; admin
Author: Boyina Devi Priyanka [aut, cre], Cini Varghese [ctb], Rajender Parsad [ctb], Mohd Harun [ctb], Anindita Datta [ctb], Vinaykumar L.N. [ctb]
Maintainer: Boyina Devi Priyanka <boyinadevipriyanka@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-02 09:10:09 UTC

More information about PRBMSdesigns at CRAN
Permanent link

New package joinpointR with initial version 0.5.0
Package: joinpointR
Title: Tidy Tools for Joinpoint Regression Models
Version: 0.5.0
Description: Provides tools to fit joinpoint regression models with a log-linear specification by levels of a categorical variable. The package acts as a wrapper around the 'segmented' package, facilitating model fitting, selection, and interpretation. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, purrr, tidyr, tibble, ggplot2, segmented, scales, flextable, rlang, stringr, stats, officer
URL: https://github.com/datos-ine/joinpointR
BugReports: https://github.com/datos-ine/joinpointR/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-29 14:58:19 UTC; user
Author: Tamara Ricardo [aut, cre]
Maintainer: Tamara Ricardo <tamararicardo83@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-05-02 09:50:02 UTC

More information about joinpointR at CRAN
Permanent link

New package HTGM4D with initial version 1.0
Package: HTGM4D
Version: 1.0
Date: 2026-04-29
Title: Four Dimensional High Throughput 'GoMiner'
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, GoMiner, HTGM, HTGM2D, grDevices, stats, gplots, vprint, randomGODB, HGNChelper, png, magick, svglite, utils, graphics
LazyData: true
LazyDataCompression: xz
Description: The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Microarray studies are usually analyzed with BP, whereas proteomics researchers often prefer CC. To capture the benefit of both of those ontologies, I now present an enhancement of the existing two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'), which is called 'HTGM4D'. The original 'HTGM2D' is augmented by adding two instances of the original 'GoMiner' genes versus categories heatmaps, aligned with the categories axes of the 'HTGM2D' heatmap.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-29 14:47:32 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2026-05-02 09:50:08 UTC

More information about HTGM4D at CRAN
Permanent link

New package HTDV with initial version 0.2.0
Package: HTDV
Title: Hypothesis Testing for Dependent Variables with Unbalanced Data
Version: 0.2.0
Description: Implements hierarchical Bayesian inference, robust frequentist inference, and distribution-free inference for dependent and unbalanced data under strong-mixing conditions. Supports triangular-array, weighted-sum and mixingale convergence regimes with Whittle and composite likelihoods, heteroskedasticity-and-autocorrelation-consistent variance estimation, block bootstrap with automatic block length, fixed-bandwidth HAR inference, adaptive conformal prediction, Bayesian decision under Region of Practical Equivalence, bridge-sampling Bayes factors, and predictive comparison via the Widely Applicable Information Criterion and leave-future-out cross-validation. Methods follow Andrews (1991) <doi:10.2307/2938229>, Kiefer and Vogelsang (2005) <doi:10.1017/S0266466605050565>, Patton, Politis and White (2009) <doi:10.1080/07474930802459016>, Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>, Kruschke (2018) <doi:10.1177/2515245918771304>, and Gibbs a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: rstan (>= 2.26.0), stats, parallel,
Suggests: bayesplot, bridgesampling, knitr, loo, posterior, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/HTDV
BugReports: https://github.com/IsadoreNabi/HTDV/issues
NeedsCompilation: no
Packaged: 2026-04-29 15:05:39 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2026-05-02 09:50:14 UTC

More information about HTDV at CRAN
Permanent link

New package ggscribe with initial version 0.1.0
Package: ggscribe
Title: Publication-Quality 'ggplot2' Annotation
Version: 0.1.0
Description: Annotation helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to annotate plots in a way that stays consistent with the set theme.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/ggscribe, https://davidhodge931.github.io/ggscribe/
BugReports: https://github.com/davidhodge931/ggscribe/issues
Depends: R (>= 4.1.0)
Imports: farver, ggplot2 (>= 4.0.0), glue, grid, rlang, scales
Encoding: UTF-8
Language: en-GB
Suggests: blends, dplyr, flexoki, ggrefine, ggwidth, jumble, knitr, rmarkdown, spelling, stringr
NeedsCompilation: no
Packaged: 2026-04-29 10:09:30 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-02 09:20:02 UTC

More information about ggscribe at CRAN
Permanent link

Wed, 29 Apr 2026

New package shinyseo with initial version 0.1.0
Package: shinyseo
Title: Search Engine Optimization and Social Metadata Helpers for 'Shiny' Apps
Version: 0.1.0
Author: Rolf Lindgren [aut, cre]
Maintainer: Rolf Lindgren <rolf@grendel.no>
Description: Utilities for injecting search engine optimization (SEO), Open Graph, Twitter, and schema.org metadata into 'Shiny' applications from YAML files or named lists.
License: GPL (>= 3)
Encoding: UTF-8
Imports: shiny, yaml, jsonlite
Suggests: htmltools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:50:52 UTC; roffe
Repository: CRAN
Date/Publication: 2026-04-29 19:10:03 UTC

More information about shinyseo at CRAN
Permanent link

New package opencis with initial version 0.1.0
Package: opencis
Title: Import Data from Spanish Sociological Research Center (CIS)
Version: 0.1.0
Description: Search and import data directly to R from the Spanish Sociological Research Center (CIS) <https://www.cis.es/inicio>. The CIS is a public institution that conducts electoral and sociological research studies on the Spanish society. The CIS has a large database of surveys that can be accessed through its website. The package includes functions to search for surveys, survey questions and timeseries, and import the data directly to R.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: httr (>= 1.4.7), tibble (>= 3.0.0), purrr (>= 1.0.0), haven (>= 2.5.3), magrittr (>= 2.0.0), rvest (>= 1.0.0), stringr (>= 1.0.0), memoise (>= 2.0.0)
URL: https://opencis.spainelectoralproject.com, https://github.com/hmeleiro/opencis
BugReports: https://github.com/hmeleiro/opencis/issues
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:47:02 UTC; hmele
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:07 UTC

More information about opencis at CRAN
Permanent link

New package EasyStat with initial version 2.0.0
Package: EasyStat
Title: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting
Version: 2.0.0
Date: 2026-04-28
Description: Provides automated statistical analysis, rich visualization, and multi-format narrative reporting through a unified pipeline. Descriptive statistics are available via easy_describe() and easy_group_summary(). Inferential tests with plain-language narratives are provided by easy_regression(), easy_logistic_regression(), easy_ttest(), easy_anova(), easy_chisq(), easy_ztest(), easy_ftest(), easy_correlation(), easy_wilcox(), and easy_kruskal(). Publication-ready 'ggplot2' visualizations are produced by easy_histogram(), easy_boxplot(), easy_scatter(), easy_barplot(), easy_qqplot(), easy_density(), easy_correlation_heatmap(), easy_regression_diagnostics(), and easy_odds_ratio_plot(). The core Narrative Generator Module applies conditional logic to extracted p-values, effect sizes, and model-fit metrics to produce statistically sound, human-readable explanations automatically. Results render in the 'RStudio' Viewer (HTML), the console (ASCII), or export directly to Microsoft Word via 'flext [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: broom (>= 1.0.0), glue (>= 1.6.0), ggplot2 (>= 3.4.0), knitr (>= 1.40), kableExtra (>= 1.3.4), htmltools (>= 0.5.0), flextable (>= 0.9.0), officer (>= 0.6.0), stats, utils, tools
Suggests: testthat (>= 3.0.0), scales (>= 1.2.0), rmarkdown (>= 2.0)
VignetteBuilder: knitr
URL: https://github.com/itsmdivakaran/Easystat, https://itsmdivakaran.github.io/Easystat/
BugReports: https://github.com/itsmdivakaran/Easystat/issues
NeedsCompilation: no
Packaged: 2026-04-29 08:21:54 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , Gunjan Singh [aut] , Jayadevan Shreedharan [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:14 UTC

More information about EasyStat at CRAN
Permanent link

New package BivLaplaceRL with initial version 0.2.0
Package: BivLaplaceRL
Title: Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Version: 0.2.0
Description: Implements methods for bivariate Laplace transforms of residual lives and reversed residual lives, associated stochastic ordering concepts, and dynamic entropy measures for reliability analysis. The package covers three primary research areas: (1) Bivariate Laplace transform of residual lives and stochastic comparisons based on the bivariate Laplace transform order of residual lives (BLt-rl), including weak bivariate hazard rate, mean residual life, and relative mean residual life orders, nonparametric estimation, and NBUHR/NWUHR aging class characterisation (Jayalekshmi, Rajesh, and Nair, 2022, <doi:10.1080/03610926.2022.2085874>); (2) Bivariate Laplace transform order of reversed residual lives (BLt-Rrl), reversed hazard gradient, reversed mean residual life, and the associated stochastic orders (weak bivariate reversed hazard rate, weak bivariate reversed mean residual life); (3) Residual entropy generating function, a dynamic version of Golomb's (1966) information generating [...truncated...]
License: GPL-3
URL: https://itsmdivakaran.github.io/BivLaplaceRL/, https://github.com/itsmdivakaran/BivLaplaceRL
BugReports: https://github.com/itsmdivakaran/BivLaplaceRL/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS, survival, covr
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-GB
Packaged: 2026-04-29 07:42:33 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , S. Jayalekshmi [aut] , G. Rajesh [aut] , N. Unnikrishnan Nair [aut] , Smitha S. [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:20 UTC

More information about BivLaplaceRL at CRAN
Permanent link

New package mrtsSphere with initial version 0.1.2
Package: mrtsSphere
Title: Multi-Resolution Thin-Plate Splines on the Sphere
Version: 0.1.2
Description: Constructs multi-resolution thin-plate spline basis functions on the sphere for use in spatial regression and large-scale spatial prediction problems. Implements the basis system described in Huang, Huang, and Ing (2025) "Multi-Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data", Environmetrics, <doi:10.1002/env.70092>. Heavy computations are written in 'C++' via 'Rcpp' with optional 'OpenMP' parallelism.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp, RSpectra
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: fields, testthat (>= 3.0.0)
SystemRequirements: GNU make
URL: https://github.com/STLABTW/multi-resolution-sphere
BugReports: https://github.com/STLABTW/multi-resolution-sphere/issues
NeedsCompilation: yes
Packaged: 2026-04-28 23:07:49 UTC; hyhuang
Author: Hao-Yun Huang [aut, cre] , Hsin-Cheng Huang [aut] , Ching-Kang Ing [aut]
Maintainer: Hao-Yun Huang <hhuscout@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:07 UTC

More information about mrtsSphere at CRAN
Permanent link

New package MCseqReplic with initial version 1.0.0
Package: MCseqReplic
Version: 1.0.0
Date: 2026-04-29
Title: Monte Carlo Simulations of Time Changes in Sequences
Depends: R (>= 3.0.0), TraMineR (>= 2.2-2)
Imports: WeightedCluster (>= 1.6.0), aricode, doParallel, foreach, doSNOW, iterators, stats, vegan, wCorr
Description: Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
License: GPL (>= 2)
URL: http://traminer.unige.ch
Encoding: UTF-8
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>
NeedsCompilation: no
Packaged: 2026-04-29 07:20:07 UTC; grits
Author: Gilbert Ritschard [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-04-29 19:00:13 UTC

More information about MCseqReplic at CRAN
Permanent link

New package llmcoder with initial version 1.0.0
Package: llmcoder
Title: LLM-Powered Code Generation and Error Fixing for 'RStudio'
Version: 1.0.0
Description: An 'RStudio' addin that integrates large language model (LLM) assistance directly into the code-editing workflow. Users can generate R code from inline comments, obtain LLM-assisted fixes for console errors, and insert plain-English explanations of selected code blocks - all without leaving the editor. Supports 'OpenAI', 'Anthropic' (Claude), 'DeepSeek', 'Groq', 'Together AI', 'OpenRouter', 'Ollama' (fully local, no API key required), and any 'OpenAI'-compatible custom endpoint (e.g. 'LM Studio', 'vLLM', 'llama.cpp').
License: MIT + file LICENSE
Date: 2026-04-25
Depends: R (>= 4.1.0)
Encoding: UTF-8
URL: https://github.com/ShiyangZheng/llmcoder
BugReports: https://github.com/ShiyangZheng/llmcoder/issues
Imports: rstudioapi (>= 0.13), httr2 (>= 1.0.0), miniUI (>= 0.1.1), shiny (>= 1.7.0), stringr (>= 1.5.0), rlang (>= 1.0.0)
Suggests: jsonlite (>= 1.8.0), testthat (>= 3.0.0), withr (>= 2.5.0)
NeedsCompilation: no
Packaged: 2026-04-29 07:10:37 UTC; admin
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <shiyang.zheng@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:02 UTC

More information about llmcoder at CRAN
Permanent link

New package lapop with initial version 2.1.5
Package: lapop
Title: Processing, Visualizing, and Labeling Americas Barometer Data
Version: 2.1.5
Author: Robert Vidigal [cre, aut] , Luke Plutowski [ctb, aut]
Date: 2026-04-22
Maintainer: Robert Vidigal <robert.vidigal@vanderbilt.edu>
Description: Labeling, weighting, and plotting data following custom style guidelines for use in reports, presentations, and social media posts. The Center for Global Democracy (formerly the Latin American Public Opinion Project) at Vanderbilt University is a leader in public survey research, best known for the Americas Barometer project. The publicly available data can be downloaded from: <https://www.vanderbilt.edu/lapop/data-access.php>.
URL: https://lapop-central.github.io/lapop/
Depends: R (>= 4.1.0)
Imports: ggplot2, ggtext, ggrepel, showtext, grid, gridtext, gridExtra, sf, sysfonts, systemfonts, svglite, dplyr, srvyr, survey, haven, stats, purrr, tibble, marginaleffects, stringr, zoo
VignetteBuilder: knitr
Suggests: readstata13, rio, rprojroot, knitr, rmarkdown, tidyr, ggpattern, testthat (>= 3.0.0)
Language: en-US
Encoding: UTF-8
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-04-28 20:04:39 UTC; vidigar
Repository: CRAN
Date/Publication: 2026-04-29 18:30:02 UTC

More information about lapop at CRAN
Permanent link

New package jgd with initial version 0.1.0
Package: jgd
Title: JSON Graphics Device
Version: 0.1.0
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
NeedsCompilation: yes
Suggests: callr, ggplot2, jsonlite, processx, testthat (>= 3.0.0), withr
URL: https://github.com/grantmcdermott/jgd
BugReports: https://github.com/grantmcdermott/jgd/issues
Packaged: 2026-04-29 04:44:11 UTC; gmcd
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:07 UTC

More information about jgd at CRAN
Permanent link

New package hatsurvey with initial version 1.1.1
Package: hatsurvey
Title: Survey Indicator Estimation for Complex Survey Designs
Version: 1.1.1
Description: Estimates survey indicators using complex survey designs. Supports mean, proportion, and ratio estimation with multi-stage stratified sampling, weights, and finite population correction. The output is designed to be comparable to results from 'SPSS' (Statistical Package for the Social Sciences) Complex Samples procedures.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: survey, stats
NeedsCompilation: no
Packaged: 2026-04-28 20:58:27 UTC; Haqqul Amin
Author: Asy-Syaja'ul Haqqul Amin [aut, cre]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:13 UTC

More information about hatsurvey at CRAN
Permanent link

New package encharter with initial version 0.9
Package: encharter
Title: Enhanced Office Open XML Charting for 'openxlsx2'
Version: 0.9
Language: en-US
Description: Provides a high-level 'R6' interface for creating complex Office Open XML (OOXML) charts. Allows users to build multi-series combo charts with secondary axes and granular styling options, designed to integrate seamlessly with 'openxlsx2'.
License: MIT + file LICENSE
URL: https://janmarvin.github.io/encharter/, https://github.com/JanMarvin/encharter
BugReports: https://github.com/JanMarvin/encharter/issues
Encoding: UTF-8
LinkingTo: openxlsx2
Imports: R6, openxlsx2 (>= 1.26)
Suggests: testthat (>= 3.0.0), viridisLite
NeedsCompilation: yes
Packaged: 2026-04-28 20:26:08 UTC; janmarvingarbuszus
Author: Jan Marvin Garbuszus [aut, cre]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Repository: CRAN
Date/Publication: 2026-04-29 18:30:08 UTC

More information about encharter at CRAN
Permanent link

New package shorm with initial version 0.1.3
Package: shorm
Title: Detect the Shape of Dose-Response Curves
Version: 0.1.3
Description: Provides functions for hormesis screening by classifying the shapes of dose-response curves based on semiparametric tests. The shapes are indications of different potential toxicology effect. It also offers a scalable visualization scheme to present testing conclusions for large-scale dataset with a large number of dose-response curves. For more information, see Jin et al. (2026) <https://github.com/YinglJin-0203/shorm/blob/main/Manuscripts/BotanicalHormesisTestingFinalDraft.docx>.
License: GPL-3
Encoding: UTF-8
Imports: SRMERS, ggplot2, scales, dplyr
URL: https://github.com/YinglJin-0203/shorm
NeedsCompilation: no
Packaged: 2026-04-28 19:37:53 UTC; ebair
Author: Eric Bair [aut, cre], Ying Jin [aut, cph]
Maintainer: Eric Bair <software.tools@sciome.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:20:02 UTC

More information about shorm at CRAN
Permanent link

New package magentabook with initial version 0.1.0
Package: magentabook
Title: HM Treasury Magenta Book Policy Evaluation Primitives
Version: 0.1.0
Description: Implements policy evaluation primitives from HM Treasury Magenta Book guidance (HM Treasury, 2020): theory of change and log-frame construction, evaluation planning and stakeholder mapping, power and minimum-detectable-effect calculations for randomised designs (including cluster and stepped-wedge designs following 'Hussey' and 'Hughes' (2007) <doi:10.1016/j.cct.2006.05.007> and 'Hemming' et al. (2015) <doi:10.1136/bmj.h391>), Maryland Scientific Methods Scale ratings, structured confidence ratings, light-weight difference-in-differences and interrupted-time-series estimators ('Bernal' et al. (2017) <doi:10.1093/ije/dyw098>) with cluster-robust standard errors ('Cameron' and 'Miller' (2015) <doi:10.3368/jhr.50.2.317>), pre-treatment balance checks ('Stuart' (2010) <doi:10.1214/09-STS313>), and cost-effectiveness analysis (cost per outcome, incremental cost-effectiveness ratio, acceptability curves, incremental net benefit, quality-adjusted and disability-a [...truncated...]
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, openxlsx, officer, flextable, pwr, sandwich, swCRTdesign, BCEA, cobalt
URL: https://github.com/charlescoverdale/magentabook
BugReports: https://github.com/charlescoverdale/magentabook/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 16:13:08 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:02 UTC

More information about magentabook at CRAN
Permanent link

New package arcopt with initial version 0.3.0
Package: arcopt
Title: Adaptive Regularization using Cubics for Optimization
Version: 0.3.0
Description: Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/marcus-waldman/arcopt
BugReports: https://github.com/marcus-waldman/arcopt/issues
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, marqLevAlg, trust
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-28 16:36:29 UTC; marcu
Author: Marcus Waldman [aut, cre]
Maintainer: Marcus Waldman <marcus.waldman@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:10 UTC

More information about arcopt at CRAN
Permanent link

New package rgbIndices with initial version 0.1.1
Package: rgbIndices
Title: RGB Visible Indices for Image Analysis
Version: 0.1.1
Description: Computes RGB-based vegetation, color, and spectral indices from digital images for applications in agriculture, crop phenotyping, and remote sensing. The methods are based on digital image processing and plant phenotyping approaches (Singh et al. (2023) <doi:10.1080/10106049.2022.2160831>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: raster, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 11:29:58 UTC; Admin
Author: RN Singh [aut], Bappa Das [aut], Sonam [aut], Anil Kumar [aut], Santosha Rathod [aut, cre]
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 07:40:02 UTC

More information about rgbIndices at CRAN
Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.