CRANberries

Mon, 17 Nov 2025

New package Romeb with initial version 0.1.2
Package: Romeb
Title: Robust Median-Based Bayesian Growth Curve Modeling
Version: 0.1.2
Description: Implements robust median-based Bayesian growth curve models that handle Missing Completely at Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR) missing-data mechanisms, and allow auxiliary variables. Models are fitted via 'rjags' (interface to 'JAGS') and summarized with 'coda'.
License: GPL-3
URL: https://github.com/DandanTang0/Romeb
BugReports: https://github.com/DandanTang0/Romeb/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: rjags, coda, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: JAGS
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-12 06:27:14 UTC; lynn
Author: Dandan Tang [aut, cre] , Xin Tong [aut]
Maintainer: Dandan Tang <tangdd20@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-17 09:10:02 UTC

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New package PDEnaiveBayes with initial version 0.2.8
Package: PDEnaiveBayes
Title: Plausible Naive Bayes Classifier Using PDE
Version: 0.2.8
Date: 2025-11-12
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: A nonparametric, multicore-capable plausible naive Bayes classifier based on the Pareto density estimation (PDE) featuring a plausible approach to a pitfall in the Bayesian theorem covering low evidence cases. Stier, Q., Hoffmann, J., and Thrun, M.C.: "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes" (2025).
LazyLoad: yes
LazyData: TRUE
NeedsCompilation: yes
Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), pracma, plotly, utils, grDevices, stats, graphics, methods, ggplot2, DatabionicSwarm, memshare
Suggests: FCPS(>= 1.3.5), ABCanalysis, modeest, deldir, ScatterDensity (>= 0.1.1), gridExtra, parallelDist, parallel, DataVisualizations (>= 1.1.5)
LinkingTo: Rcpp, RcppParallel
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/Mthrun/PDEbayes/issues
Packaged: 2025-11-12 07:13:52 UTC; mct
Author: Michael Thrun [aut, cph, cre] , Quirin Stier [aut, rev] , Tim Robin Neldner [ctr, ctb]
Repository: CRAN
Date/Publication: 2025-11-17 09:10:07 UTC

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New package enhancer with initial version 1.1.0
Package: enhancer
Version: 1.1.0
Date: 2025-10-21
Title: Mixed-Effects Models Enhancing Functions
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Special functions that enhance other mixed effect model packages by creating overlayed, reduced rank, and reduced model matrices together with multiple data sets to practice the use of these models. For more details see Covarrubias-Pazaran (2016) <doi:10.1371/journal.pone.0156744>.
Depends: R(>= 3.5.0), Matrix (>= 1.0), MASS, methods, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr, orthopolynom, RSpectra, evola, lme4breeding, sommer
NeedsCompilation: no
Packaged: 2025-11-12 02:38:20 UTC; giovannycovarrubias
Date/Publication: 2025-11-17 09:00:02 UTC

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New package ELmethodVar with initial version 0.1
Package: ELmethodVar
Version: 0.1
Date: 2025-11-12
Title: Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models
Author: Jingru Zhang [aut, cre]
Maintainer: Jingru Zhang <jrzhang001@gmail.com>
Depends: R (>= 3.5.0)
Description: Provides empirical likelihood-based methods for the inference of variance components in linear mixed-effects models.
License: GPL (>= 2)
URL: https://github.com/jingru-zhang/ELmethod
NeedsCompilation: no
Packaged: 2025-11-12 05:59:57 UTC; jingruzhang
Repository: CRAN
Date/Publication: 2025-11-17 09:00:15 UTC

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New package coFAST with initial version 0.1.0
Package: coFAST
Title: Spatially-Aware Cell Clustering Algorithm with Cluster Significant Assessment
Version: 0.1.0
Date: 2025-11-12
Author: Wei Liu [aut, cre], Xiao Zhang [aut], Yi Yang [aut], Peng Xie [aut], Chengqi Lin [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: A spatially-aware cell clustering algorithm is provided with cluster significance assessment. It comprises four key modules: spatially-aware cell-gene co-embedding, cell clustering, signature gene identification, and cluster significant assessment. More details can be referred to Peng Xie, et al. (2025) <doi:10.1016/j.cell.2025.05.035>.
License: GPL-3
Depends: R (>= 4.0.0),
Imports: Rcpp (>= 1.0.10), furrr, future, ggplot2, irlba, DR.SC, PRECAST, ProFAST, Matrix, ade4, progress, pbapply, dplyr, Seurat, stats, utils
LazyData: true
URL: https://github.com/feiyoung/coFAST
BugReports: https://github.com/feiyoung/coFAST/issues
Suggests: knitr, rmarkdown, scater, ggrepel, RANN, grDevices
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-12 02:32:59 UTC; 10297
Repository: CRAN
Date/Publication: 2025-11-17 09:00:10 UTC

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Thu, 13 Nov 2025

New package XYomics with initial version 0.1.1
Package: XYomics
Title: Analysis of Sex Differences in Omics Data for Complex Diseases
Version: 0.1.1
Maintainer: Enrico Glaab <enrico.glaab@uni.lu>
Description: Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.
Depends: R (>= 3.6)
Imports: limma, igraph, edgeR, Seurat, SeuratObject, clusterProfiler, org.Hs.eg.db, ReactomePA, data.table, ggplot2, tidyr, grid, ggraph, dplyr, ggrepel, scales, Rcpp, methods
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: R.utils, DT, gridExtra, knitr, htmltools, kableExtra, rmarkdown, stringr
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-11-10 15:07:41 UTC; mohamed.soudy
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:08 UTC

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New package Ssarkartrim with initial version 1.0.0
Package: Ssarkartrim
Title: Trimmed-k Mean Estimator
Version: 1.0.0
Date: 2025-11-08
Description: Computes the trimmed-k mean by removing the k smallest and k largest values from a numeric vector. Created for STAT 5400 at the University of Iowa.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-11 03:41:42 UTC; shouhardyo
Author: Shouhardyo Sarkar [aut, cre]
Maintainer: Shouhardyo Sarkar <shouhardyo-sarkar@uiowa.edu>
Repository: CRAN
Date/Publication: 2025-11-13 21:10:10 UTC

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New package nlmixr2autoinit with initial version 1.0.0
Package: nlmixr2autoinit
Title: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling
Version: 1.0.0
Description: Provides automated methods for generating initial parameter estimates in population pharmacokinetic modeling. The pipeline integrates adaptive single-point methods, naive pooled graphic approaches, noncompartmental analysis methods, and parameter sweeping across pharmacokinetic models. It estimates residual unexplained variability using either data-driven or fixed-fraction approaches and assigns pragmatic initial values for inter-individual variability. These strategies are designed to improve model robustness and convergence in 'nlmixr2' workflows. For more details see Huang Z, Fidler M, Lan M, Cheng IL, Kloprogge F, Standing JF (2025) <doi:10.1007/s10928-025-10000-z>.
License: GPL (>= 3)
URL: https://github.com/ucl-pharmacometrics/nlmixr2autoinit
BugReports: https://github.com/ucl-pharmacometrics/nlmixr2autoinit/issues
Depends: nlmixr2data, R (>= 4.0)
Imports: nlmixr2, nlmixr2est, rxode2, dplyr, tidyr, crayon, purrr, knitr, magrittr, progressr, tibble, vpc
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-11 04:05:53 UTC; zhonghuihuang
Author: Zhonghui Huang [aut, cre], Joseph Standing [ctb], Matthew Fidler [ctb], Frank Kloprogge [ctb]
Maintainer: Zhonghui Huang <huangzhonghui22@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 21:10:02 UTC

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New package gTestsPair with initial version 0.1
Package: gTestsPair
Version: 0.1
Date: 2025-11-02
Title: New Nonparametric Tests for Multivariate Paired Data and Pair Matching
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Depends: R (>= 3.5.0)
Imports: ade4
Description: Implements three nonparametric two-sample tests for multivariate paired data and pair matching. Methods are described in the associated preprint: <doi:10.48550/arXiv.2007.01497>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-11 20:39:51 UTC; hao
Author: Jingru Zhang [aut], Hao Chen [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 21:30:02 UTC

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New package carts with initial version 0.1.0
Package: carts
Title: Simulation-Based Assessment of Covariate Adjustment in Randomized Trials
Version: 0.1.0
Maintainer: Benedikt Sommer <benediktsommer92@gmail.com>
Description: Monte Carlo simulation framework for different randomized clinical trial designs with a special emphasis on estimators based on covariate adjustment. The package implements regression-based covariate adjustment (Rosenblum & van der Laan (2010) <doi:10.2202/1557-4679.1138>) and a one-step estimator (Van Lancker et al (2024) <doi:10.48550/arXiv.2404.11150>) for trials with continuous, binary and count outcomes. The estimation of the minimum sample-size required to reach a specified statistical power for a given estimator uses bisection to find an initial rough estimate, followed by stochastic approximation (Robbins-Monro (1951) <doi:10.1214/aoms/1177729586>) to improve the estimate, and finally, a grid search to refine the estimate in the neighborhood of the current best solution.
License: Apache License (>= 2)
Depends: R (>= 4.1), lava (>= 1.8.0)
Imports: data.table (>= 1.14), logger (>= 0.2.2), methods, progressr, R6 (>= 2.5.1), survival, targeted (>= 0.6), rlang
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo
Suggests: future, tinytest, MASS, geepack, covr, pdftools, knitr, mets (>= 1.3.4), rmarkdown, magick, pwr, pwrss
BugReports: https://github.com/NovoNordisk-OpenSource/carts/issues
URL: https://novonordisk-opensource.github.io/carts/, https://github.com/NovoNordisk-OpenSource/carts
VignetteBuilder: knitr
ByteCompile: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-11 09:09:54 UTC; bkts
Author: Benedikt Sommer [aut, cre], Klaus K. Holst [aut], Foroogh Shamsi [aut], Novo Nordisk A/S [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:02 UTC

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New package biostats with initial version 1.0.0
Package: biostats
Title: Biostatistics and Clinical Data Analysis
Version: 1.0.0
Description: Biostatistical and clinical data analysis, including descriptive statistics, exploratory data analysis, sample size and power calculations, statistical inference, and data visualization. Normality tests are implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, omnibus test procedures are based on Blanca et al. (2017) <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), while sample size and power calculation methods follow Chow et al. (2017) <doi:10.1201/9781315183084>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), covr
Imports: ggplot2, gridExtra, rlang, car, gt
URL: https://github.com/sebasquirarte/biostats
BugReports: https://github.com/sebasquirarte/biostats/issues
NeedsCompilation: no
Packaged: 2025-11-11 22:11:53 UTC; squirartej
Author: Sebastian Quirarte-Justo [aut, cre] , Angela Carolina Montano-Ruiz [aut] , Jose Maria Torres-Arellano [aut] , Laboratorios Sophia S.A. de C.V. [cph, fnd]
Maintainer: Sebastian Quirarte-Justo <sebastian.quirarte@sophia.com.mx>
Repository: CRAN
Date/Publication: 2025-11-13 21:40:02 UTC

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New package unifiedml with initial version 0.1.0
Package: unifiedml
Title: Unified Interface for Machine Learning Models
Version: 0.1.0
Date: 2025-11-05
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>
Description: Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
License: MIT + file LICENSE
URL: https://github.com/Techtonique/unifiedml
BugReports: https://github.com/Techtonique/unifiedml/issues
Depends: R (>= 3.5.0), doParallel, R6, foreach
Imports: Rcpp (>= 1.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, glmnet, randomForest, e1071, covr, spelling, MASS
VignetteBuilder: knitr
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-11-10 21:42:50 UTC; t
Author: T. Moudiki [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 19:10:02 UTC

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New package cld with initial version 0.0.1
Package: cld
Title: Create Compact Letter Display (CLD) for Statistical Comparisons
Version: 0.0.1
Description: Creates compact letter displays (CLDs) for pairwise comparisons from statistical post-hoc tests. Groups sharing the same letter are not significantly different from each other. Supports multiple input formats including results from 'stats' pairwise tests, 'DescTools', 'PMCMRplus', 'rstatix', symmetric matrices of p-values, and data frames. Provides a consistent interface for visualizing statistical groupings across different testing frameworks.
License: GPL (>= 3)
URL: https://gegznav.github.io/cld/
BugReports: https://github.com/GegznaV/cld/issues
Imports: checkmate, multcompView, rlang
Suggests: DescTools, dplyr, ggplot2, knitr, PMCMR, PMCMRplus, rcompanion, rmarkdown, rstatix, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 19:26:21 UTC; ViG
Author: Vilmantas Gegzna [aut, cre]
Maintainer: Vilmantas Gegzna <GegznaV@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:10:07 UTC

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New package transGFM with initial version 1.0.1
Package: transGFM
Title: Transfer Learning for Generalized Factor Models
Version: 1.0.1
Date: 2025-11-10
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Description: Transfer learning for generalized factor models with support for continuous, count (Poisson), and binary data types. The package provides functions for single and multiple source transfer learning, source detection to identify positive and negative transfer sources, factor decomposition using Maximum Likelihood Estimation (MLE), and information criteria ('IC1' and 'IC2') for rank selection. The methods are particularly useful for high-dimensional data analysis where auxiliary information from related source datasets can improve estimation efficiency in the target domain.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-10 01:57:23 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 18:40:02 UTC

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New package PSRICalc with initial version 1.0.0
Package: PSRICalc
Title: Plant Stress Response Index Calculator
Version: 1.0.0
Description: Calculate Plant Stress Response Index (PSRI) from time-series germination data with optional radicle vigor integration. Built on the methodological foundation of the Osmotic Stress Response Index (OSRI) framework developed by Walne et al. (2020) <doi:10.1002/agg2.20087>. Provides clean, direct PSRI calculations suitable for agricultural research and statistical analysis. Note: This package implements methodology currently under peer review. Please contact the author before publication using this approach.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-11-10 17:43:17 UTC; feiss026
Author: Richard Feiss [aut, cre], University of Minnesota [cph]
Maintainer: Richard Feiss <feiss026@umn.edu>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:18 UTC

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New package mccount with initial version 0.1.1
Package: mccount
Title: Estimate Recurrent Event Burden with Competing Risks
Version: 0.1.1
Description: Calculates mean cumulative count (MCC) to estimate the expected cumulative number of recurrent events per person over time in the presence of competing risks and censoring. Implements both the Dong-Yasui equation method and sum of cumulative incidence method described in Dong, et al. (2015) <doi:10.1093/aje/kwu289>. Supports inverse probability weighting for causal inference as outlined in Gaber, et al. (2023) <doi:10.1093/aje/kwad031>. Provides S3 methods for printing, summarizing, plotting, and extracting results. Handles grouped analyses and integrates with 'ggplot2' <https://ggplot2.tidyverse.org/> for visualization.
License: MIT + file LICENSE
URL: https://github.com/KennethATaylor/mccount, https://kennethataylor.github.io/mccount/
BugReports: https://github.com/KennethATaylor/mccount/issues
Depends: R (>= 4.1.0)
Imports: cards, cli, cmprsk, data.table, dplyr, glue, lifecycle, rlang, stringr, tibble, tidyr
Suggests: boot, ggplot2 (>= 3.5.0), knitr, MatchIt, mstate, optmatch, patchwork, rmarkdown, spelling, survival, testthat (>= 3.0.0), WeightIt, withr
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 14:18:54 UTC; uindy
Author: Kenneth A. Taylor [aut, cre, cph]
Maintainer: Kenneth A. Taylor <kenneth.taylor.dpt@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:02 UTC

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New package gkwdist with initial version 1.0.10
Package: gkwdist
Title: Generalized Kumaraswamy Distribution Family
Version: 1.0.10
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/gkwdist, https://evandeilton.github.io/gkwdist/
BugReports: https://github.com/evandeilton/gkwdist/issues
Encoding: UTF-8
Language: en-US
Imports: Rcpp, RcppArmadillo, magrittr, numDeriv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2025-11-10 13:32:00 UTC; jlopes
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:08 UTC

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New package epitabulate with initial version 0.1.0
Package: epitabulate
Title: Tables for Epidemiological Analysis
Version: 0.1.0
Description: Produces tables for descriptive epidemiological analysis. These tables include attack rates, case fatality ratios, and mortality rates (with appropriate confidence intervals), with additional functionality to calculate Mantel-Haenszel odds, risk, and incidence rate ratios. The methods implemented follow standard epidemiological approaches described in Rothman et al. (2008, ISBN:978-0-19-513554-2). This package is part of the 'R4EPIs' project <https://R4EPI.github.io/sitrep/>.
License: GPL-3
URL: https://R4EPI.github.io/epitabulate/, https://github.com/R4EPI/epitabulate/
BugReports: https://github.com/R4EPI/epitabulate/issues
Imports: binom, dplyr (>= 1.0.2), epikit (>= 0.1.2), forcats, glue, gtsummary, MASS, purrr, rlang (>= 0.4.0), scales, stats, tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.0.0)
Suggests: broom.helpers, cardx, covr, matchmaker (>= 0.1.0), testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 09:59:54 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Amy Gimma [aut], Kate Doyle [ctb], Applied Epi Incorporated [cph], Medecins Sans Frontieres Operational Centre Amsterdam [fnd]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-11-13 18:50:02 UTC

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New package epidict with initial version 0.1.0
Package: epidict
Title: Epidemiology Data Dictionaries and Random Data Generators
Version: 0.1.0
Description: The 'R4EPIs' project <https://r4epi.github.io/sitrep/> seeks to provide a set of standardized tools for analysis of outbreak and survey data in humanitarian aid settings. This package currently provides standardized data dictionaries from Medecins Sans Frontieres Operational Centre Amsterdam for outbreak scenarios (Acute Jaundice Syndrome, Cholera, Diphtheria, Measles, Meningitis) and surveys (Retrospective mortality and access to care, Malnutrition, Vaccination coverage and Event Based Surveillance) - as described in the following <https://scienceportal.msf.org/assets/standardised-mortality-surveys?utm_source=chatgpt.com>. In addition, a data generator from these dictionaries is provided. It is also possible to read in any Open Data Kit format data dictionary.
License: GPL-3
URL: https://github.com/R4EPI/epidict/, https://r4epi.github.io/epidict/
Imports: clipr, dplyr, readxl, rlang, stats, tibble, tidyr, utils
Suggests: covr, DT, knitr, matchmaker, rmarkdown, testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 13:13:32 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Lukas Richter [aut], Patrick Keating [aut], Annick Lenglet [ctb], Applied Epi Incorporated [cph], Medecins Sans Frontieres Operational Centre Amsterdam [fnd]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-11-13 18:50:07 UTC

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Wed, 12 Nov 2025

New package GraphRankTest with initial version 0.1
Package: GraphRankTest
Title: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)
Version: 0.1
Maintainer: Doudou Zhou <ddzhou@nus.edu.sg>
Description: Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) <https://proceedings.mlr.press/v195/zhou23a.html>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, ade4, nbpMatching
Suggests: testthat (>= 3.0.0), rmarkdown
URL: https://proceedings.mlr.press/v195/zhou23a.html
NeedsCompilation: no
Packaged: 2025-11-09 08:21:43 UTC; doudou
Author: Doudou Zhou [aut, cre] , Hao Chen [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:10:07 UTC

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New package FCUSUM with initial version 1.0.0
Package: FCUSUM
Title: Fourier CUSUM Cointegration Test
Version: 1.0.0
Description: Implements the Fourier cumulative sum (CUSUM) cointegration test for detecting cointegration relationships in time series data with structural breaks. The test uses Fourier approximations to capture smooth structural changes and CUSUM statistics to test for cointegration stability. Based on methodology described in Zaghdoudi (2025) <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion (AICc) is used for optimal frequency selection.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-11-09 16:11:47 UTC; admin
Author: Taha Zaghdoudi [aut, cre]
Maintainer: Taha Zaghdoudi <zedtaha@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:10:11 UTC

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New package trendseries with initial version 1.1.0
Package: trendseries
Title: Extract Trends from Time Series
Version: 1.1.0
Description: Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes key econometric filters and modern parameter experimentation tools.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/viniciusoike/trendseries, https://viniciusoike.github.io/trendseries/
BugReports: https://github.com/viniciusoike/trendseries/issues
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Depends: R (>= 4.1.0)
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, xts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-09 03:07:45 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:02 UTC

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New package deepspat with initial version 0.3.0
Package: deepspat
Title: Deep Compositional Spatial Models
Date: 2025-11-03
Version: 0.3.0
Maintainer: Quan Vu <quanvustats@gmail.com>
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using 'tensorflow', which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, and Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>.
License: Apache License 2.0
Imports: data.table, dplyr, Matrix, methods, reticulate, keras, tensorflow, tfprobability, evd, SpatialExtremes, fields
SystemRequirements: TensorFlow (https://www.tensorflow.org/),
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-08 05:51:13 UTC; vudan
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:00:08 UTC

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New package contoso with initial version 1.1.1
Package: contoso
Title: Dataset of the 'Contoso' Company
Version: 1.1.1
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indica [...truncated...]
License: MIT + file LICENSE
Imports: DBI, dplyr, cli, duckdb (>= 1.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/contoso/, https://github.com/usrbinr/contoso
BugReports: https://github.com/usrbinr/contoso/issues
NeedsCompilation: no
Packaged: 2025-11-09 02:23:30 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:15 UTC

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New package CircaCP with initial version 0.1.2
Package: CircaCP
Title: Sleep and Circadian Metrics Estimation from Actigraphy Data
Version: 0.1.2
Maintainer: Shanshan Chen <schen3@vcu.edu>
Description: A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data. The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>. The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics (e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality, fitting cosinor models, and performing parametric change point detection. The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, pracma, stats, tibble
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-08 20:12:09 UTC; schen3
Author: Shanshan Chen [aut, cre], Jonathon Jacobs [ctb]
Repository: CRAN
Date/Publication: 2025-11-12 11:10:02 UTC

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New package PhysioIndexR with initial version 0.1.0
Package: PhysioIndexR
Title: Physiological and Stress Indices for Crop Evaluation
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: Crop production systems are increasingly challenged by climate variability, resource limitations, and biotic–abiotic stresses. In this context, stress tolerance indices and physiological trait estimators are essential tools to identify stable and superior genotypes, quantify yield stability under stress versus non-stress conditions, and understand plant adaptive responses. The 'PhysioIndexR' package provides a unified framework to compute commonly used stress indices, physiological traits, and derived metrics that are critical in crop improvement, crop physiology, and other agricultural sciences. The package includes functions to calculate classical stress tolerance indices (See Lamba et al., 2023; <doi:10.1038/s41598-023-37634-8>) such as Tolerance (TOL), Stress Tolerance Index (STI), Stress Susceptibility Percentage Index (SSPI), Yield Index (YI), Yield Stability Index (YSI), Relative Stress Index (RSI), Mean Productivity (MP), Geometric Mean Productivity (GMP), Harmonic Mean ( [...truncated...]
Imports: stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-11-08 06:32:30 UTC; user
Author: Vinayaka [aut, cre] , Vengavasi Krishnapriya [aut, ctb] , T. Lakshmi Pathy [aut, ctb] , Amaresh [aut, ctb] , K. Gopalareddy [aut, ctb] , G.S. Suresha [aut, ctb] , P. Govindaraj [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-12 10:50:01 UTC

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Tue, 11 Nov 2025

New package ReliaShiny with initial version 0.4
Package: ReliaShiny
Title: A 'Shiny' App for Reliability Analysis
Version: 0.4
Description: An interactive web application for reliability analysis using the 'shiny' <https://shiny.posit.co/> framework. The app provides an easy-to-use interface for performing reliability analysis using 'WeibullR' <https://cran.r-project.org/package=WeibullR> and 'ReliaGrowR' <https://cran.r-project.org/package=ReliaGrowR>.
License: CC BY 4.0
Imports: magrittr, ReliaGrowR, ReliaPlotR, WeibullR, shiny, shinydashboard, shinyWidgets
Encoding: UTF-8
URL: https://paulgovan.github.io/ReliaShiny/, https://github.com/paulgovan/ReliaShiny
BugReports: https://github.com/paulgovan/ReliaShiny/issues
Suggests: knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), WeibullR.learnr
NeedsCompilation: no
Packaged: 2025-11-07 14:43:32 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:10:02 UTC

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New package wstdiff with initial version 1.0.0
Package: wstdiff
Version: 1.0.0
Title: Welch-Satterthwaite Approximation for t-Distribution Differences
Description: Implements the Welch-Satterthwaite approximation for differences of non-standardized t-distributed random variables in both univariate and multivariate settings. The package provides methods for computing effective degrees of freedom and scale parameters, as well as distribution functions for the approximated difference distribution. The methodology extends the classical Welch-Satterthwaite framework from variance combinations to t-distribution differences through careful moment matching. Methods build on the classical Welch-Satterthwaite approach described in Welch (1947) <doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946) <doi:10.2307/3002019>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), mvtnorm, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-06 20:47:04 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:02 UTC

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New package vws with initial version 0.3.0
Package: vws
Title: Vertical Weighted Strips
Version: 0.3.0
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Description: A reference implementation of the Vertical Weighted Strips method explored by Raim, Livsey, and Irimata (2025) <doi:10.48550/arXiv.2401.09696> for rejection sampling.
URL: https://github.com/andrewraim/vws
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, fntl
LinkingTo: Rcpp, fntl
Suggests: knitr, rmarkdown, quarto, statmod, tidyverse
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-11-06 15:34:48 UTC; araim
Author: Andrew M. Raim [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:02 UTC

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New package tidysynthesis with initial version 0.1.2
Package: tidysynthesis
Title: A Common API for Synthesizing Data
Version: 0.1.2
Maintainer: Aaron R. Williams <awilliams@urban.org>
Description: A system built on 'tidymodels' for generating synthetic tabular data. We provide tools for ordering a sequential synthesis, feature and target engineering, sampling, hyperparameter tuning, enforcing constraints, and adding extra noise during a synthesis.
URL: https://ui-research.github.io/tidysynthesis-documentation/
BugReports: https://github.com/UrbanInstitute/tidysynthesis/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, parsnip, pillar, purrr, progressr, recipes, rlang, rsample, stringr, tibble, tidyr (>= 1.0.0), tune, vctrs, workflows, yardstick, ExtDist, dapper
Suggests: hardhat, palmerpenguins, poissonreg, randomForest, ranger, rpart, rpart.LAD (>= 0.1.2), testthat (>= 2.1.0), usethis, VGAM
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 15:30:08 UTC; aaronwilliams
Author: Aaron R. Williams [aut, cre] , Kyle Ueyama [aut], Gabe Morrison [aut] , Jeremy Seeman [aut] , Elyse McFalls [ctb], Claire Morton [ctb], Livia Mucciolo [ctb], Madeline Pickens [ctb], Noah Zwiefel [ctb], The Urban Institute [cph]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:07 UTC

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New package sdstudio with initial version 0.1.3
Package: sdstudio
Title: Companion Application for the 'surveydown' Survey Platform
Version: 0.1.3
Author: Pingfan Hu [aut, cre, cph] , John Paul Helveston [aut, cph] , Bogdan Bunea [aut, cph]
Maintainer: Pingfan Hu <pingfan0727@gmail.com>
Description: Companion package that supports the 'surveydown' survey platform (<https://surveydown.org>). The default method for working with a 'surveydown' survey is to edit the plain text 'survey.qmd' and 'app.R' files. With 'sdstudio', you can create, preview and manage surveys with a 'shiny' application as a graphical user interface.
License: MIT + file LICENSE
URL: https://sdstudio.surveydown.org
BugReports: https://github.com/surveydown-dev/sdstudio/issues
Depends: R (>= 4.1.0)
Imports: bslib, DBI, dotenv, DT, htmltools, later, pool, RPostgres, shiny, shinyAce, surveydown
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 23:05:29 UTC; pingfan
Repository: CRAN
Date/Publication: 2025-11-11 21:40:07 UTC

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New package powerprior with initial version 1.0.0
Package: powerprior
Version: 1.0.0
Title: Conjugate Power Priors for Bayesian Analysis of Normal Data
Description: Implements conjugate power priors for efficient Bayesian analysis of normal data. Power priors allow principled incorporation of historical information while controlling the degree of borrowing through a discounting parameter (Ibrahim and Chen (2000) <doi:10.1214/ss/1009212519>). This package provides closed-form conjugate representations for both univariate and multivariate normal data using Normal-Inverse-Chi-squared and Normal-Inverse-Wishart distributions, eliminating the need for MCMC sampling. The conjugate framework builds upon standard Bayesian methods described in Gelman et al. (2013, ISBN:978-1439840955).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS, LaplacesDemon, ggplot2, shiny, shinydashboard, shinyjs, DT, dplyr, tidyr, rlang
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 20:48:42 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre], Yifei Huang [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:13 UTC

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New package OmicsPrepR with initial version 0.1.1
Package: OmicsPrepR
Title: Unified Preprocessing Toolkit for Proteomics and Metabolomics
Version: 0.1.1
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Provides unified workflows for quality control, normalization, and visualization of proteomic and metabolomic data. The package simplifies preprocessing through automated imputation, scaling, and principal component analysis (PCA)-based exploratory analysis, enabling researchers to prepare omics datasets efficiently for downstream statistical and machine learning analyses.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ikemillar/OmicsPrepR
BugReports: https://github.com/ikemillar/OmicsPrepR/issues
NeedsCompilation: no
Packaged: 2025-11-06 19:13:18 UTC; isaacosei
Author: Isaac Osei [aut, cre], Dennis Opoku Boadu [aut], Chettupally Anil Carie [aut]
Repository: CRAN
Date/Publication: 2025-11-11 21:30:08 UTC

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New package MRStdCRT with initial version 0.1.1
Package: MRStdCRT
Title: Model-Robust Standardization in Cluster-Randomized Trials
Version: 0.1.1
Description: Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0.0), geepack (>= 1.3-2), lme4 (>= 1.1-25), nlme (>= 3.1-150), magrittr (>= 2.0.0), rlang (>= 1.0.0), stats
VignetteBuilder: knitr
URL: https://github.com/deckardt98/MRStdCRT
BugReports: https://github.com/deckardt98/MRStdCRT/issues
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-07 00:42:23 UTC; HP
Author: Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Bingkai Wang [aut], Fan Li [aut]
Maintainer: Changjun Li <changjun.li@yale.edu>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:18 UTC

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New package ggincerta with initial version 0.1.0
Package: ggincerta
Title: Extend 'ggplot2' with Layers and Scales for Spatial Uncertainty Visualization
Version: 0.1.0
Description: Provide specialized 'ggplot2' layers and scales for spatial uncertainty visualization, including bivariate choropleth maps, pixel maps, glyph maps, and exceedance probability maps.
Imports: dplyr, grDevices, grid, gtable, rlang, scales, sf, stats, withr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), vdiffr
Depends: ggplot2 (>= 3.5.0), R (>= 4.1.0)
LazyData: true
URL: https://github.com/maggiexma/ggincerta
BugReports: https://github.com/maggiexma/ggincerta/issues
NeedsCompilation: no
Packaged: 2025-11-07 13:13:56 UTC; maxueqi
Author: Xueqi Ma [aut, cre, cph], Emi Tanaka [aut, ths] , Weihao Li [ths], Quan Vu [ths], Francis Hui [ths]
Maintainer: Xueqi Ma <maggiexma07@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:00:02 UTC

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New package examly with initial version 0.1.1
Package: examly
Title: Statistical Metrics and Reporting Tool
Version: 0.1.1
Description: A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, reports. The classical test theory methods used are described in Ebel & Frisbie (1991, ISBN:978-0132892314).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny, dplyr, tidyr, purrr, stringr, readr, readxl, officer, flextable, glue, magrittr, jsonlite, tibble, htmltools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, psychometric
VignetteBuilder: knitr
URL: https://github.com/ahmetcaliskan1987/examly
BugReports: https://github.com/ahmetcaliskan1987/examly/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-06 19:35:12 UTC; ahmetcaliskan
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:30:02 UTC

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New package bigPLScox with initial version 0.6.0
Package: bigPLScox
Version: 0.6.0
Date: 2025-11-01
Depends: R (>= 4.0.0)
Imports: bigmemory, bigalgebra, bigSurvSGD, caret, doParallel, foreach, kernlab, methods, Rcpp, risksetROC, rms, sgPLS, survAUC, survcomp, survival
LinkingTo: BH, Rcpp, RcppArmadillo, bigmemory
Suggests: bench, knitr, plsRcox, mvtnorm, readr, rmarkdown, testthat (>= 3.0.0)
Title: Partial Least Squares for Cox Models with Big Matrices
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS-based Cox models to censored big data.
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/bigPLScox/, https://github.com/fbertran/bigPLScox/
BugReports: https://github.com/fbertran/bigPLScox/issues/
Classification/MSC: 62N01, 62N02, 62N03, 62N99
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-06 16:20:26 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 21:20:15 UTC

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New package baserater with initial version 0.1.1
Package: baserater
Title: Base-Rate Item Evaluation and Typicality Scoring Using Large Language Models
Version: 0.1.1
Description: Download typicality rating datasets, generate new stereotype-based typicality ratings using large language models via the Inference Providers API (<https://huggingface.co/docs/inference-providers>), and evaluate them against human-annotated validation data. Also includes functions to extract stereotype strength and base-rate items from typicality matrices. For more details see Beucler et al. (2025) <doi:10.31234/osf.io/eqrfu_v1>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, dplyr, glue, readr, tibble, tidyr, httr2
Suggests: devtools, knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
URL: https://jeremie-beucler.github.io/baserater/
NeedsCompilation: no
Packaged: 2025-11-07 12:50:49 UTC; lapsyde_user
Author: Jeremie Beucler [aut, cre]
Maintainer: Jeremie Beucler <jeremie.beucler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:50:02 UTC

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New package LEdecomp with initial version 1.0.4
Package: LEdecomp
Title: Decompose Life Expectancy by Age (and Cause)
Version: 1.0.4
Date: 2025-11-06
Description: A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <doi:10.2307/2061029>, others documented by Ponnapalli (2005) <doi:10.4054/DemRes.2005.12.7>, lifetable, numerical, and other algorithmic approaches such as Horiuchi et al (2008) <doi:10.1353/dem.0.0033>, or Andreev et al (2002) <doi:10.4054/DemRes.2002.7.14>.
License: GPL-3
LazyLoad: yes
LazyData: true
Imports: numDeriv, Rdpack, DemoDecomp, data.table, ggplot2
Depends: R (>= 4.3)
BugReports: https://github.com/timriffe/LEdecomp/issues
Encoding: UTF-8
URL: https://github.com/timriffe/LEdecomp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-06 15:27:01 UTC; tim
Author: Tim Riffe [aut, cre] , David Atance [aut] , Josep Lledo [aut]
Maintainer: Tim Riffe <tim.riffe@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:10:02 UTC

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New package SelectBoost.beta with initial version 0.4.5
Package: SelectBoost.beta
Title: Stability-Selection via Correlated Resampling for Beta-Regression Models
Version: 0.4.5
Date: 2025-11-04
Depends: R (>= 4.0)
Imports: betareg, gamlss, gamlss.dist, glmnet, MASS, Rcpp, rlang, stats, withr
Suggests: future, future.apply, gamlss.lasso, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Adds variable-selection functions for Beta regression models (both mean and phi submodels) so they can be used within the 'SelectBoost' algorithm. Includes stepwise AIC, BIC, and corrected AIC on betareg() fits, 'gamlss'-based LASSO/Elastic-Net, a pure 'glmnet' iterative re-weighted least squares-based selector with an optional standardization speedup, and 'C++' helpers for iterative re-weighted least squares working steps and precision updates. Also provides a fastboost_interval() variant for interval responses, comparison helpers, and a flexible simulator simulation_DATA.beta() for interval-valued data. For more details see Bertrand and Maumy (2023) <doi:10.7490/f1000research.1119552.1>.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.beta/, https://github.com/fbertran/SelectBoost.beta/
BugReports: https://github.com/fbertran/SelectBoost.beta/issues/
NeedsCompilation: yes
Packaged: 2025-11-04 09:49:20 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 09:20:09 UTC

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New package ONAM with initial version 1.0.0
Package: ONAM
Title: Fitting Interpretable Neural Additive Models Using Orthogonalization
Version: 1.0.0
Description: An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
License: MIT + file LICENSE
BugReports: https://github.com/Koehlibert/ONAM_R/issues
Depends: keras3, reticulate
Imports: dplyr, scales, rlang, ggplot2, pROC
Suggests: akima, RColorBrewer, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 09:07:04 UTC; koehler
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:18 UTC

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New package ISCAM with initial version 1.0.0
Package: ISCAM
Title: Companion to the Book "Investigating Statistical Concepts, Applications, and Methods"
Version: 1.0.0
Description: Introductory statistics methods to accompany "Investigating Statistical Concepts, Applications, and Methods" (ISCAM) by Beth Chance & Allan Rossman (2024) <https://rossmanchance.com/iscam4/>. Tools to introduce statistical concepts with a focus on simulation approaches. Functions are verbose, designed to provide ample output for students to understand what each function does. Additionally, most functions are accompanied with plots. The package is designed to be used in an educational setting alongside the ISCAM textbook.
License: MIT + file LICENSE
URL: https://iscam4.github.io/ISCAM/, https://github.com/ISCAM4/ISCAM
BugReports: https://github.com/ISCAM4/ISCAM/issues
Depends: R (>= 3.5)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0), usethis, vdiffr (>= 1.0.8)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 17:19:28 UTC; visru
Author: Beth Chance [cre, aut, cph], Visruth Srimath Kandali [aut]
Maintainer: Beth Chance <bchance@calpoly.edu>
Repository: CRAN
Date/Publication: 2025-11-11 09:20:16 UTC

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New package healthiar with initial version 0.2.1
Package: healthiar
Title: Quantify and Monetize the Burden of Disease Attributable to Exposure
Version: 0.2.1
Description: This R package has been developed with a focus on air pollution and noise but can applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. References (in chronological order): WHO (2003a) "Assessing the environmental burden of disease at national and local levels" <https://www.who.int/publications/i/item/9241546204> (accessed October 2025); WHO (2003b) "Comparative quantification of health risks: Conceptual framework and methodological issues" <doi:10.1186/1478-7954-1-1> (accessed October 2025); Miller & Hurley (2003) "Life table methods for quantitative impact assessments in chronic mortality" <doi:10.1136/jech.57.3.200> (accessed October 2025); Steenland & Armstrong (2006) "An Overview of Methods for Calculating the Burden of Disease Due to Specific Risk Fac [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, purrr, tibble, tidyr
Depends: R (>= 4.2.0)
LazyData: true
VignetteBuilder: knitr
Suggests: sf, terra, testthat, devtools, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 12:44:41 UTC; castal
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Vanessa Gorasso [ctb] , Carl Michael Baravelli [ctb] , Susanne Breitner [ctb] , Maria Lepnurm [ctb] , Maria Jose Rueda Lopez [ctb] , Iracy Pimenta [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:09 UTC

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New package fwtraits with initial version 1.0.0
Package: fwtraits
Title: Extract Species Ecological Parameters from Www.freshwaterecology.info
Version: 1.0.0
Description: Support the extraction and seamless integration of species ecological traits or preferences from the www.freshwaterecology.info into several ecological model workflows. During data extraction, different taxonomic levels are acceptable, including species, genus, and family, based on the availability of data in the database. The data is cached after the first search and can be accessed during and after online interactions. Only scientific names are acceptable in the search; local or English names are not allowed. A user API key is required to start using the package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/AnthonyBasooma/fwtraits, https://anthonybasooma.github.io/fwtraits/, https://github.com/AnthonyBasooma/fwtraits/releases/tag/V1.0.0
BugReports: https://github.com/AnthonyBasooma/fwtraits/issues
Depends: R (>= 4.1.0)
Imports: curl, httr2, jsonlite, methods, utils, rstudioapi, R.cache
Suggests: ggplot2, knitr (>= 1.48), rmarkdown (>= 2.28), sf, vcr, dplyr, tidytext, testthat (>= 3.0.0), FD, tidyr, tibble, stats, cluster
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 14:53:10 UTC; anthbasooma
Author: Anthony Basooma [aut, cre] , Florian Borgwardt [ctb, fnd] , Thomas Hein [ctb, fnd, ths] , Sami Domisch [ctb], Merret Buurman [ctb], Vanessa Bremerich [ctb], Sonia Steffany Recinos Brizuela [ctb], Martin Tschikof [ctb], Astrid Schmidt-Kloiber [ctb, fn [...truncated...]
Maintainer: Anthony Basooma <anthony.basooma@boku.ac.at>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:16 UTC

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New package fioRa with initial version 0.3.4
Package: fioRa
Title: Mass-Spectra Prediction Using the FIORA Model
Version: 0.3.4
Date: 2025-11-03
Description: Provides a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky (2025) <doi:10.1038/s41467-025-57422-4>.
License: MIT + file LICENSE
Imports: bslib, config, golem, InterpretMSSpectrum, rcdk, shiny, shinyjs, waiter
Encoding: UTF-8
URL: https://github.com/janlisec/fioRa
BugReports: https://github.com/janlisec/fioRa/issues
Suggests: reticulate, spelling, testthat (>= 3.0.0)
Language: en-US
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 10:12:22 UTC; jlisec
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:08 UTC

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New package eve with initial version 1.0
Package: eve
Version: 1.0
Date: 2025-10-20
Title: The Eigenvalues Entropy as a Classifier Evaluation Measure
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-06 09:15:14 UTC; doulaye
Repository: CRAN
Date/Publication: 2025-11-11 09:50:13 UTC

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New package DIVINE with initial version 0.1.0
Package: DIVINE
Title: Curated Datasets and Tools for Epidemiological Data Analysis
Version: 0.1.0
Maintainer: Natalia Pallares <npallares@igtp.cat>
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://bruigtp.github.io/DIVINE/
BugReports: https://github.com/bruigtp/DIVINE/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
Imports: dplyr, fmsb, ggplot2, gtsummary, haven, openxlsx, plotly, purrr, rlang, scales, stringr, tibble, tidyselect
NeedsCompilation: no
Packaged: 2025-11-06 13:23:26 UTC; jcarmezim
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Repository: CRAN
Date/Publication: 2025-11-11 10:00:21 UTC

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New package Capsule with initial version 0.2.0
Package: Capsule
Title: Comprehensive Reproducibility Framework for R and Bioinformatics Analysis
Version: 0.2.0
Description: A comprehensive reproducibility framework designed for R and bioinformatics workflows. Automatically captures the entire analysis environment including R session info, package versions, external tool versions ('Samtools', 'STAR', 'BWA', etc.), 'conda' environments, reference genomes, data provenance with smart checksumming for large files, parameter choices, random seeds, and hardware specifications. Generates executable scripts with 'Docker', 'Singularity', and 'renv' configurations. Integrates with workflow managers ('Nextflow', 'Snakemake', 'WDL', 'CWL') to ensure complete reproducibility of computational research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: renv, jsonlite, digest, yaml, cli, utils
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/SAADAT-Abu/Capsule/issues
NeedsCompilation: no
Packaged: 2025-11-06 13:18:57 UTC; saadat
Author: Abu SAADAT [aut, cre]
Maintainer: Abu SAADAT <saadatabu1996@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:29 UTC

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Mon, 10 Nov 2025

New package toon with initial version 0.0.1
Package: toon
Title: Token-Oriented Object Notation (TOON)
Version: 0.0.1
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: Token-Oriented Object Notation (TOON) is a compact, human-readable serialization format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input as a lossless, drop-in representation of JSON data.
Depends: R (>= 3.5.0)
URL: https://github.com/laresbernardo/toon
BugReports: https://github.com/laresbernardo/toon/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 17:42:04 UTC; bernardo
Author: Bernardo Lares [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-10 08:20:02 UTC

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New package tidycensuskr with initial version 0.2.3
Package: tidycensuskr
Title: Easy Access for South Korea Census Data and Boundaries
Version: 0.2.3
Description: Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 4.2.0)
Imports: sf, dplyr, tidyr, kosis, utils, rlang
Suggests: knitr, withr, purrr, rmarkdown, ggplot2, biscale, cowplot, tmap, geodata, testthat (>= 3.0.0), ggspatial, spdep
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/sigmafelix/tidycensuskr, https://sigmafelix.github.io/tidycensuskr/, https://sigmafelix.r-universe.dev/tidycensuskr/
BugReports: https://github.com/sigmafelix/tidycensuskr/issues
NeedsCompilation: no
Packaged: 2025-11-04 11:40:35 UTC; isong
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>
Repository: CRAN
Date/Publication: 2025-11-10 09:00:02 UTC

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New package pecan with initial version 0.1.0
Package: pecan
Title: Portfolio for Economic Complexity Analysis and Navigation
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: A portfolio of tools for economic complexity analysis and industrial upgrading navigation. The package implements essential measures in international trade and development economics, including the relative comparative advantage (RCA), economic complexity index (ECI) and product complexity index (PCI). It enables users to analyze export structures, explore product relatedness, and identify potential upgrading paths grounded in economic theory, following the framework in Hausmann et al. (2014) <doi:10.7551/mitpress/9647.001.0001>.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/pecan
BugReports: https://github.com/Carol-seven/pecan/issues
Encoding: UTF-8
Imports: Rdpack, dplyr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 21:44:55 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-11-10 08:30:07 UTC

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New package hdf5lib with initial version 1.14.6.4
Package: hdf5lib
Title: Headers and Static Libraries for 'HDF5'
Version: 1.14.6.4
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 1.14.6). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
URL: https://github.com/cmmr/hdf5lib
BugReports: https://github.com/cmmr/hdf5lib/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2025-11-05 17:19:40 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:20 UTC

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New package CDF with initial version 0.1.0
Package: CDF
Title: Centroid Decision Forest for High-Dimensional Classification
Version: 0.1.0
Description: Implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: matrixStats, utils
NeedsCompilation: no
Packaged: 2025-11-05 17:12:37 UTC; Admin
Author: Amjad Ali [aut, cre], Saeed Aldahmani [aut], Zardad Khan [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:32 UTC

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Sun, 09 Nov 2025

New package tsg with initial version 0.1.0
Package: tsg
Title: Generate Publication-Ready Statistical Tables
Version: 0.1.0
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: haven, openxlsx, fs, forcats, purrr, tidyr, glue, jsonlite (>= 2.0.0), yaml (>= 2.3.10), dplyr (>= 1.1.0), stringr (>= 1.4.0), rlang (>= 1.0.2)
Suggests: testthat (>= 3.0.0), utils (>= 4.0.0), cli, devtools, knitr, rmarkdown, tibble, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://yng-me.github.io/tsg/, https://github.com/yng-me/tsg
BugReports: https://github.com/yng-me/tsg/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:55:18 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:30:02 UTC

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New package shinyOAuth with initial version 0.1.1
Package: shinyOAuth
Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Version: 0.1.1
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: S7 (>= 0.2.0), R6 (>= 2.0), rlang (>= 1.0.0), shiny (>= 1.7.0), jsonlite (>= 1.0), openssl (>= 2.0.0), httr2 (>= 1.0.0), cachem (>= 1.1.0), jose (>= 1.2.0), cli (>= 3.0.0), htmltools (>= 0.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, webfakes, promises, future, withr, later, sodium, shinytest2, xml2
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/lukakoning/shinyOAuth, https://lukakoning.github.io/shinyOAuth/
BugReports: https://github.com/lukakoning/shinyOAuth/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:15:20 UTC; dhrko
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:02 UTC

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New package shinyfa with initial version 0.0.1
Package: shinyfa
Title: Analyze the File Contents of 'shiny' Directories
Version: 0.0.1
Description: Provides tools for analyzing and understanding the file contents of large 'shiny' application directories. The package extracts key information about render functions, reactive functions, and their inputs from app files, organizing them into structured data frames for easy reference. This streamlines the onboarding process for new contributors and helps identify areas for optimization in complex 'shiny' codebases with multiple files and sourcing chains.
URL: https://github.com/dalyanalytics/shinyfa, https://dalyanalytics.github.io/shinyfa/
BugReports: https://github.com/dalyanalytics/shinyfa/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr
Suggests: dplyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 15:49:33 UTC; jasminedaly
Author: Jasmine Daly [aut, cre]
Maintainer: Jasmine Daly <jasmine.dumas@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:30:08 UTC

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New package phscs with initial version 0.1.0
Package: phscs
Title: Philippine Statistical Classification Systems
Version: 0.1.0
Description: A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr (>= 1.0.2), jsonlite (>= 1.8.8), dplyr (>= 1.1.0), tidyr (>= 1.3.1), stringr (>= 1.4.0)
Suggests: rlang (>= 1.0.2), testthat (>= 3.0.0), utils (>= 4.0.0), cli, gt, rmarkdown, knitr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/yng-me/phscs/issues
URL: https://yng-me.github.io/phscs/, https://github.com/yng-me/phscs
NeedsCompilation: no
Packaged: 2025-11-05 17:03:05 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:40:02 UTC

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New package npANCOVA with initial version 0.1.0
Package: npANCOVA
Title: Nonparametric ANCOVA Methods
Version: 0.1.0
Date: 2025-11-04
Description: Nonparametric methods for analysis of covariance (ANCOVA) are distribution-free and provide a flexible statistical framework for situations where the assumptions of parametric ANCOVA are violated or when the response variable is ordinal. This package implements several well-known nonparametric ANCOVA procedures, including Quade, Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides user-friendly functions to apply these methods in practice.
License: GPL-3
URL: https://github.com/Mina7Jahangiri7/npANCOVA
BugReports: https://github.com/Mina7Jahangiri7/npANCOVA/issues
Depends: R (>= 4.0)
Imports: stats
Encoding: UTF-8
NeedsCompilation: no
Author: Mina Jahangiri [aut, cre] , Ali Taghavi Rad [aut] , Keith Goldfeld [aut] , Anoshirvan Kazemnejad [ctb] , Shayan Mostafaei [ctb]
Maintainer: Mina Jahangiri <minajahangiri984@gmail.com>
Packaged: 2025-11-05 15:43:38 UTC; USER
Repository: CRAN
Date/Publication: 2025-11-09 16:30:13 UTC

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New package funviewR with initial version 0.1.0
Package: funviewR
Title: Visualize Function Call Dependencies in R Source Code
Version: 0.1.0
Description: Provides tools to analyze R source code and detect function definitions and their internal dependencies across multiple files. Creates interactive network visualizations using 'visNetwork' to display function call relationships, with detailed tooltips showing function arguments, return values, and documentation. Supports both individual files and directory-based analysis with automatic file detection. Useful for understanding code structure, identifying dependencies, and documenting R projects.
License: GPL-3
URL: https://github.com/deamonpog/funviewR
BugReports: https://github.com/deamonpog/funviewR/issues
Encoding: UTF-8
Imports: codetools, visNetwork, igraph, htmltools, magrittr
Suggests: htmlwidgets
NeedsCompilation: no
Packaged: 2025-11-05 17:13:01 UTC; pog66
Author: Chathura Jayalath [aut, cre]
Maintainer: Chathura Jayalath <acj.chathura@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:40:07 UTC

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New package ffm with initial version 0.1.1
Package: ffm
Title: Download Official Spatial Data from Germany
Version: 0.1.1
Description: Provides quick and easy access to official spatial data from Germany’s Federal Agency for Cartography and Geodesy (BKG) <https://gdz.bkg.bund.de/>. Interfaces various web feature services (WFS) and download servers. Allows retrieval, caching and filtering with a wide range of open geodata products, including administrative or non-administrative boundaries, land cover, elevation models, geographic names, and points of interest covering Germany. Can be particularly useful for linking regional statistics to their spatial representations and streamlining workflows that involve spatial data of Germany.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: cli, rlang, zip, httr2, xml2, sf
Suggests: tibble, terra, arrow, ggplot2, knitr, rmarkdown, testthat (>= 3.2.2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 15:00:25 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:09 UTC

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Fri, 07 Nov 2025

New package GALAHAD with initial version 1.0.0
Package: GALAHAD
Title: Geometry-Adaptive Lyapunov-Assured Hybrid Optimizer
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements the GALAHAD algorithm (Geometry-Adaptive 'Lyapunov'-Assured Hybrid Optimizer), combining 'Riemannian' metrics, 'Lyapunov' stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <doi:10.1137/1.9780898719857>, Amari (1998) <doi:10.1162/089976698300017746>, Beck & Teboulle (2003) <doi:10.1016/S0167-6377(02)00231-6>, Nesterov (2017) <https://www.jstor.org/stable/resrep30722>, and Walne et al. (2020) <doi:10.1002/agg2.20098>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
BuildResaveData: true
Packaged: 2025-11-04 00:52:03 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-07 14:10:12 UTC

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New package tout with initial version 1.0.3
Package: tout
Title: Optimal Sample Size and Progression Criteria for Three-Outcome Trials
Version: 1.0.3
Description: Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/DTWilson/tout, https://dtwilson.github.io/tout/
BugReports: https://github.com/DTWilson/tout/issues
NeedsCompilation: no
Packaged: 2025-11-05 13:16:03 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:02 UTC

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New package toscca with initial version 0.1.0
Package: toscca
Title: Thresholded Ordered Sparse CCA
Version: 0.1.0
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ClusterR, RColorBrewer, cluster, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: doParallel, foreach, parallel, forecast, ggplot2, lme4, scales, graphics, stats, utils, grDevices, mcompanion, EnvStats, MASS
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 11:53:54 UTC; PC
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:02 UTC

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New package rocrateR with initial version 0.0.1
Package: rocrateR
Title: RO-Crate R Package Wrapper
Version: 0.0.1
Description: R package for creating, manipulating and reading RO-Crates. Latest supported version of the specification: <https://w3id.org/ro/crate/1.2/>.
License: MIT + file LICENSE
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/ResearchObject/ro-crate-r/
BugReports: https://github.com/ResearchObject/ro-crate-r/issues/
Imports: digest, jsonlite, tibble, zip
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:21:05 UTC; robertovillegas-diaz
Author: Roberto Villegas-Diaz [aut, cre] , Research Object community [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:09 UTC

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New package repsim with initial version 0.1.0
Package: repsim
Title: Measures of Representational Similarity Across Models
Version: 0.1.0
Description: Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp (>= 1.1.0), Rdpack
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-11-04 19:45:56 UTC; kyou
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:14 UTC

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New package randotools with initial version 0.2.3
Package: randotools
Title: Create Randomization Lists
Version: 0.2.3
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
License: GPL (>= 3)
URL: https://ctu-bern.github.io/randotools/, https://github.com/CTU-Bern/randotools
BugReports: https://github.com/CTU-Bern/randotools/issues
Encoding: UTF-8
Imports: cli, dplyr, glue, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-05 10:55:41 UTC; haynes
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:07 UTC

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New package PNC with initial version 0.1.0
Package: PNC
Title: Phylogenetic Niche Conservatism Analysis for Ecological Communities
Version: 0.1.0
Date: 2025-11-5
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Provides functions for testing phylogenetic niche conservatism, a key prerequisite in community assembly studies. The package integrates global functional trait data across major taxonomic groups and implements methods such as Pagel's Lambda and Blomberg's K to quantify phylogenetic signals in ecological communities. Methods are described in Münkemüller et al. (2012) <doi:10.1111/j.2041-210X.2012.00196.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape, phytools, stats, utils, geiger
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 01:15:58 UTC; Administrator
Author: Yan He [aut, cre], Yu Xia [aut], Rui Yang [aut], Lingfeng Mao [aut]
Repository: CRAN
Date/Publication: 2025-11-07 13:40:13 UTC

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New package opImputation with initial version 0.6
Package: opImputation
Title: Optimal Selection of Imputation Methods for Pain-Related Numerical Data
Version: 0.6
Description: A model-agnostic framework for selecting dataset-specific imputation methods for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) "A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Depends: R (>= 3.5.0)
Imports: parallel, Rfit, methods, stats, caret, ABCanalysis, ggplot2, future, future.apply, progressr, missForest, utils, mice, miceRanger, multiUS, Amelia, mi, reshape2, DataVisualizations, abind, cowplot, twosamples, ggh4x, ggrepel, tools
LazyData: true
Suggests: testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/JornLotsch/opImputation
Encoding: UTF-8
Date: 2025-11-04
NeedsCompilation: no
Packaged: 2025-11-04 12:22:21 UTC; joern
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:02 UTC

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New package hashmapR with initial version 1.0.0
Package: hashmapR
Title: Fast, Vectorized Hashmap
Version: 1.0.0
Description: A fast, vectorized hashmap that is built on top of C++ std::unordered_map <https://en.cppreference.com/w/cpp/container/unordered_map.html>. The map can hold any R object as key / value as long as it is serializable and supports vectorized insertion, lookup, and deletion.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/svensglinz/hashmapR
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++20
NeedsCompilation: yes
Packaged: 2025-11-04 10:00:47 UTC; sven
Author: Sven Glinz [aut, cre]
Maintainer: Sven Glinz <svenglinz@proton.me>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:20 UTC

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New package fasttreeid with initial version 1.0.0
Package: fasttreeid
Title: Identifies Parameters in a Tree-Shaped SCM
Version: 1.0.0
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
Suggests: gmp, testthat
LinkingTo: Rcpp
URL: https://github.com/yasminebriefs/FastTreeID
BugReports: https://github.com/yasminebriefs/FastTreeID/issues
NeedsCompilation: yes
Packaged: 2025-11-05 07:24:49 UTC; yasmine
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:07 UTC

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New package EstemPMM with initial version 0.1.1
Package: EstemPMM
Title: Polynomial Maximization Method for Non-Gaussian Regression
Version: 0.1.1
Date: 2025-10-22
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. Includes methods for linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, stats, graphics, utils
Suggests: dplyr, ggplot2, gridExtra, testthat (>= 3.0.0), rmarkdown, knitr, MASS
LazyData: true
URL: https://github.com/SZabolotnii/EstemPMM
BugReports: https://github.com/SZabolotnii/EstemPMM/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-04 19:50:39 UTC; serhiizabolotnii
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:12 UTC

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New package aplms with initial version 0.1.0
Package: aplms
Title: Additive Partial Linear Models with Symmetric Autoregressive Errors
Version: 0.1.0
Maintainer: Shu Wei Chou-Chen <shuwei.chou@ucr.ac.cr>
Description: Set of tools for fitting the additive partial linear models with symmetric autoregressive errors of order p, or APLMS-AR(p). This setup enables the modeling of a time series response variable using linear and nonlinear structures of a set of explanatory variables, with nonparametric components approximated by natural cubic splines or P-splines. It also accounts for autoregressive error terms with distributions that have lighter or heavier tails than the normal distribution. The package includes various error distributions, such as normal, generalized normal, Student's t, generalized Student's t, power-exponential, and Cauchy distributions. Chou-Chen, S.W., Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024) <doi:10.1007/s00362-024-01590-w>.
License: GPL-2
URL: https://github.com/shuwei325/aplms
BugReports: https://github.com/shuwei325/aplms/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mgcv
Imports: MASS, Matrix, rlist, stats, methods, psych, rmutil
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:29:35 UTC; shuwe
Author: Shu Wei Chou-Chen [aut, cre, cph] , Rodrigo A. Oliveira [aut] , Gilberto A. Paula [aut] , Sebastian Sanchez Sandi [ctb]
Repository: CRAN
Date/Publication: 2025-11-07 14:00:25 UTC

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Thu, 06 Nov 2025

New package UGarima with initial version 0.1.0
Package: UGarima
Title: The Unit-Garima Distribution
Version: 0.1.0
Description: Density, distribution function, quantile function, and random generating function of the Unit-Garima distribution based on Ayuyuen, S., & Bodhisuwan, W. (2024)<doi:10.18187/pjsor.v20i1.4307>.
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: graphics, stats, lamW
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-04 01:42:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre], Sirinapa Ayuyuen [aut], Winai Bodhisuwan [aut]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:06 UTC

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New package releaser with initial version 1.0.0
Package: releaser
Title: Help with Preparing a New Version of an R Package
Version: 1.0.0
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
License: MIT + file LICENSE
URL: https://github.com/TanguyBarthelemy/releaser, https://tanguybarthelemy.github.io/releaser/
BugReports: https://github.com/TanguyBarthelemy/releaser/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: gh, desc, base64enc
Suggests: rlang, spelling, testthat (>= 3.0.0)
Language: en-GB
NeedsCompilation: no
Packaged: 2025-11-03 10:29:31 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:02 UTC

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New package etsi with initial version 1.0
Package: etsi
Title: Efficient Testing Using Surrogate Information
Version: 1.0
Date: 2025-11-03
Description: Provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.
License: GPL
Imports: hetsurr, stats
NeedsCompilation: no
Packaged: 2025-11-03 17:15:47 UTC; parastlm
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:02 UTC

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New package colorify with initial version 0.1.2
Package: colorify
Title: Intuitive Color and Palette Generation and Modification
Version: 0.1.2
Description: A one-stop shop for intuitive and dependency-free color and palette creation and modification. Includes palettes and functionality from popular packages such as 'viridis', 'RColorBrewer', and base R 'grDevices', as well as 'ggplot2' plot bindings. Users can generate perceptually uniform and colorblind-friendly palettes, adjust palettes in HSL and RGB color spaces, map color gradients to value ranges, and create color-generating functions.
URL: https://github.com/mauritsunkel/colorify, https://mauritsunkel.github.io/colorify/
BugReports: https://github.com/mauritsunkel/colorify/issues
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, circlize
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-03 12:57:20 UTC; Home
Author: Maurits Unkel [aut, cre]
Maintainer: Maurits Unkel <mauritsunkel@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:07 UTC

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New package brand.yml with initial version 0.1.0
Package: brand.yml
Title: Unified Branding with a Simple YAML File
Version: 0.1.0
Description: Read and process 'brand.yml' 'YAML' files. 'brand.yml' is a simple, portable 'YAML' file that codifies your company's brand guidelines into a format that can be used by 'Quarto', 'Shiny' and 'R' tooling to create branded outputs. Maintain unified, branded theming for web applications to printed reports to dashboards and presentations with a consistent look and feel.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/brand-yml/pkg/r/, https://github.com/posit-dev/brand-yml
BugReports: https://github.com/posit-dev/brand-yml/issues
Depends: R (>= 4.1.0)
Imports: cli, rlang (>= 1.1.0), utils, yaml
Suggests: base64enc, dplyr, flextable, ggiraph, ggplot2 (>= 4.0.0), gt, htmltools, knitr, mime, palmerpenguins, patchwork, plotly, prismatic, rmarkdown, sass, stringr, testthat (>= 3.0.0), thematic (>= 0.1.7.9000), tidyr, tidyverse, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-03 17:23:28 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>
Repository: CRAN
Date/Publication: 2025-11-06 10:40:02 UTC

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New package jsutils with initial version 0.1.0
Package: jsutils
Title: 'JavaScript' Utilities for 'R'
Version: 0.1.0
Description: A collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: QuickJSR (>= 1.8.1)
URL: https://andrjohns.github.io/jsutils/
NeedsCompilation: no
Packaged: 2025-11-03 08:57:16 UTC; andrew
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:00:02 UTC

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Wed, 05 Nov 2025

New package odbc.resourcer with initial version 1.0.0
Package: odbc.resourcer
Title: Open Database Connectivity Resource Resolver
Version: 1.0.0
Description: A database resource that is accessible through the Open Database Connectivity ('ODBC') API. This package uses the Resource model, with URL "resolver" and "client", to dynamically discover and make accessible tables stored in a 'MS SQL Server' database. For more details see Marcon (2021) <doi:10.1371/journal.pcbi.1008880>.
License: LGPL (>= 2.1)
Depends: R6, httr, resourcer, odbc, DBI
Suggests: testthat, knitr, rmarkdown
BugReports: https://github.com/obiba/odbc.resourcer/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-02 19:42:58 UTC; yannick
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Repository: CRAN
Date/Publication: 2025-11-05 20:20:02 UTC

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New package insulin.secretion with initial version 0.0.1
Package: insulin.secretion
Title: Insulin Secretion Rate Deconvolution
Version: 0.0.1
Description: Calculates insulin secretion rates from C-peptide values based on the methods described in Van Cauter et al. (1992) <doi:10.2337/diab.41.3.368>. Includes functions to calculate estimated insulin secretion rates using linear or cubic spline interpolation of c-peptide values (see Eaton et al., 1980 <doi:10.1210/jcem-51-3-520> and Polonsky et al., 1986 <doi:10.1172/JCI112308>) and to calculate estimates of input coefficients (volume of distribution, short half life, long half life, and fraction attributed to short half life) as described by Van Cauter. Although the generated coefficients are specific to insulin secretion, the two-compartment secretion model used here is useful for certain applications beyond insulin.
License: GPL (>= 3)
Imports: glue, lifecycle, npreg, rlang
Encoding: UTF-8
URL: https://github.com/kstier/isr.deconv
BugReports: https://github.com/kstier/isr.deconv/issues
NeedsCompilation: no
Packaged: 2025-11-02 18:59:35 UTC; kenstier
Author: Ken Stier [aut, cre, cph]
Maintainer: Ken Stier <kennethstier99@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-05 20:20:06 UTC

More information about insulin.secretion at CRAN
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New package EpidigiR with initial version 0.1.2
Package: EpidigiR
Title: Digital Epidemiological Analysis and Visualization Tools
Version: 0.1.2
Description: Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.0.0)
Imports: deSolve, sp, tm, glmnet, caret, survival
Suggests: kernlab, randomForest, stats, knitr, rmarkdown, quarto, usethis, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Author: Esther Atsabina Wanjala [aut, cre]
Maintainer: Esther Atsabina Wanjala <digitalepidemiologist23@gmail.com>
Packaged: 2025-11-03 07:06:11 UTC; atsab
Repository: CRAN
Date/Publication: 2025-11-05 20:30:13 UTC

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New package cgmguru with initial version 0.1.0
Package: cgmguru
Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Version: 0.1.0
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, iglu, dplyr, covr, ggplot2, microbenchmark
VignetteBuilder: knitr
URL: https://github.com/shstat1729/cgmguru
BugReports: https://github.com/shstat1729/cgmguru/issues
NeedsCompilation: yes
Packaged: 2025-11-03 08:00:18 UTC; bagsangho
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-05 20:30:07 UTC

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New package aclhs with initial version 1.0.1
Package: aclhs
Title: Autocorrelated Conditioned Latin Hypercube Sampling
Version: 1.0.1
Description: Implementation of the autocorrelated conditioned Latin Hypercube Sampling (acLHS) algorithm for 1D (time-series) and 2D (spatial) data. The acLHS algorithm is an extension of the conditioned Latin Hypercube Sampling (cLHS) algorithm that allows sampled data to have similar correlative and statistical features of the original data. Only a properly formatted dataframe needs to be provided to yield subsample indices from the primary function. For more details about the cLHS algorithm, see Minasny and McBratney (2006), <doi:10.1016/j.cageo.2005.12.009>. For acLHS, see Le and Vargas (2024) <doi:10.1016/j.cageo.2024.105539>.
License: MIT + file LICENSE
URL: https://github.com/vargaslab/acLHS
BugReports: https://github.com/vargaslab/acLHS/issues
Depends: R (>= 3.5)
Imports: DEoptim (>= 2.2.8), geoR (>= 1.9.6), graphics (>= 4.5.1), stats (>= 4.5.1), utils (>= 4.5.1)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-01 01:20:15 UTC; Gabe
Author: Van Huong Le [aut, ctb] , Rodrigo Vargas [aut] , Gabriel Laboy [ctb, cre]
Maintainer: Gabriel Laboy <glaboy1@asu.edu>
Repository: CRAN
Date/Publication: 2025-11-05 20:10:02 UTC

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New package PublicationBiasBenchmark with initial version 0.1.0
Package: PublicationBiasBenchmark
Title: Benchmark for Publication Bias Correction Methods
Version: 0.1.0
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2022, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, metafor, osfr, MASS, numDeriv, pwr, sandwich, clubSandwich, lmtest, puniform, Rdpack
Suggests: RoBMA, testthat (>= 3.0.0), rmarkdown, knitr, kableExtra, DT, ggplot2, scales, ggdist, rprojroot, desc
URL: https://github.com/FBartos/PublicationBiasBenchmark, https://fbartos.github.io/PublicationBiasBenchmark/
BugReports: https://github.com/FBartos/PublicationBiasBenchmark/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-01 14:51:06 UTC; fbart
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut]
Repository: CRAN
Date/Publication: 2025-11-05 20:00:02 UTC

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Tue, 04 Nov 2025

New package glyparse with initial version 0.5.3
Package: glyparse
Title: Parsing Glycan Structure Text Representations
Version: 0.5.3
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://glycoverse.github.io/glyparse/, https://github.com/glycoverse/glyparse
Imports: checkmate, cli, dplyr, glyrepr (>= 0.7.0), igraph, purrr, rlang, rstackdeque, stringr
Depends: R (>= 4.1)
VignetteBuilder: knitr
BugReports: https://github.com/glycoverse/glyparse/issues
NeedsCompilation: no
Packaged: 2025-11-01 07:09:21 UTC; fubin
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2025-11-04 19:30:02 UTC

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New package estats with initial version 1.0
Package: estats
Title: Fast and Light-Weight Energy Statistics
Version: 1.0
Date: 2025-10-27
Author: Michail Tsagris [aut, cre], Manos Papadakis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, pdcor, Rfast, Rfast2
Description: Fast and memory-less computation of the energy statistics related quantities for vectors and matrices. References include: Szekely G. J. and Rizzo M. L. (2014), <doi:10.1214/14-AOS1255>. Szekely G. J. and Rizzo M. L. (2023), <ISBN:9781482242744>. Tsagris M. and Papadakis M. (2025). <doi:10.48550/arXiv.2501.02849>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-10-31 20:29:43 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-11-04 19:10:02 UTC

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New package DataFusionGDM with initial version 1.3.2
Package: DataFusionGDM
Title: Machine Learning for Integrating Partially Overlapped Genetic Datasets
Version: 1.3.2
Description: Tools to simulate genetic distance matrices, align and compare them via multidimensional scaling (MDS) and Procrustes, and evaluate imputation with the Bootstrapping Evaluation for Structural Missingness Imputation (BESMI) framework. Methods align with Zhu et al. (2025) <doi:10.3389/fpls.2025.1543956> and the associated software resource Zhu (2025) <doi:10.26188/28602953>.
License: GPL-3
URL: https://github.com/jiashuaiz/DataFusion-GDM
BugReports: https://github.com/jiashuaiz/DataFusion-GDM/issues
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: ggplot2, vegan, mice, stats, utils
Suggests: VIM, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-01 05:05:13 UTC; jiashuaiz
Author: Jiashuai Zhu [aut, cre] , The University of Melbourne [cph], Agriculture Victoria [cph]
Maintainer: Jiashuai Zhu <jiashuai.zhu@student.unimelb.edu.au>
Repository: CRAN
Date/Publication: 2025-11-04 19:20:07 UTC

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New package CurricularComplexity with initial version 1.0
Package: CurricularComplexity
Title: Toolkit for Analyzing Curricular Complexity
Version: 1.0
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Description: Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.
Depends: R (>= 3.6.2), igraph (>= 1.2.5)
Encoding: UTF-8
License: MIT + file LICENSE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-31 22:25:20 UTC; reepi
Repository: CRAN
Date/Publication: 2025-11-04 19:10:14 UTC

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New package btw with initial version 1.0.0
Package: btw
Title: A Toolkit for Connecting R and Large Language Models
Version: 1.0.0
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
License: MIT + file LICENSE
URL: https://github.com/posit-dev/btw, https://posit-dev.github.io/btw/
BugReports: https://github.com/posit-dev/btw/issues
Depends: R (>= 4.1.0)
Imports: cli, clipr, dplyr, ellmer (>= 0.3.0), fs, jsonlite, lifecycle, mcptools, pkgsearch, rlang (>= 1.1.0), rmarkdown, rstudioapi, S7, sessioninfo, skimr, tibble, utils, withr, xml2
Suggests: bslib (>= 0.7.0), chromote, DBI, duckdb, gert, gh, htmltools, pandoc, shiny, shinychat (>= 0.2.0), testthat (>= 3.0.0), usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-31 19:34:47 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2025-11-04 19:10:07 UTC

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New package abwm with initial version 0.1.0
Package: abwm
Title: Ansari-Bradley Test with Arbitrarily Missing Data
Version: 0.1.0
Description: Performs the two-sample Ansari–Bradley test (Ansari & Bradley, 1960 <https://www.jstor.org/stable/2237814>) for univariate, distinct data in the presence of missing values, as described in Zeng et al. (2025) <doi:10.48550/arXiv.2509.20332>. This method does not make any assumptions about the missingness mechanisms and controls the Type I error regardless of the missing values by taking all possible missing values into account.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: gtools, testthat (>= 3.0.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-10-26 10:27:32 UTC; yijin
Author: Yijin Zeng [aut, cre]
Maintainer: Yijin Zeng <yijinzeng98@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 19:20:02 UTC

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New package pervasive with initial version 1.0
Package: pervasive
Title: Pervasiveness Functions for Correlational Data
Version: 1.0
Description: Analysis of pervasiveness of effects in correlational data. The Observed Proportion (or Percentage) of Concordant Pairs (OPCP) is Kendall's Tau expressed on a 0 to 1 metric instead of the traditional -1 to 1 metric to facilitate interpretation. As its name implies, it represents the proportion of concordant pairs in a sample (with an adjustment for ties). Pairs are concordant when a participant who has a larger value on a variable than another participant also has a larger value on a second variable. The OPCP is therefore an easily interpretable indicator of monotonicity. The pervasive functions are essentially wrappers for the 'arules' package by Hahsler et al. (2025)<doi:10.32614/CRAN.package.arules> and serve to count individuals who actually display the pattern(s) suggested by a regression. For more details, see the paper "Considering approaches to pervasiveness in the context of personality psychology" now accepted at the journal Personality Science.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arules, dplyr, tibble, psych, methods, stats
Suggests: knitr, rmarkdown, psychTools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-31 19:07:41 UTC; pdl8039
Author: Denis Lajoie [aut, cre]
Maintainer: Denis Lajoie <denis.lajoie@umoncton.ca>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-11-04 19:00:02 UTC

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New package fdp with initial version 1.0.0
Package: fdp
Title: f-Differential Privacy and Gaussian Differential Privacy
Version: 1.0.0
Description: Constructs and visualises trade-off functions for f-differential privacy (f-DP) as introduced by Dong et al. (2022) <doi:10.1111/rssb.12454>. Supports Gaussian differential privacy, the f-DP generalisation of (epsilon, delta)-differential privacy, and accepts user-specified optimal type I / type II errors from which the lower convex hull trade-off function is automatically constructed.
URL: https://fdp.louisaslett.com/
BugReports: https://github.com/louisaslett/fdp/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, ggplot2, rlang
NeedsCompilation: no
Packaged: 2025-10-31 17:16:06 UTC; louis
Author: Louis Aslett [aut, cre, cph]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-04 19:00:07 UTC

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New package azr with initial version 0.1.0
Package: azr
Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Version: 0.1.0
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://pedrobtz.github.io/azr/, https://github.com/pedrobtz/azr
BugReports: https://github.com/pedrobtz/azr/issues
Imports: methods, R6, cli, httr2, jsonlite, rlang
Suggests: httpuv
NeedsCompilation: no
Packaged: 2025-10-31 12:42:12 UTC; pbtz
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 18:20:02 UTC

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New package lavinteract with initial version 0.2.2
Package: lavinteract
Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Version: 0.2.2
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
URL: https://github.com/g-corbelli/lavinteract
BugReports: https://github.com/g-corbelli/lavinteract/issues
License: GPL-3
Encoding: UTF-8
Imports: lavaan, rlang, ggplot2, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uniroma1.it>
Packaged: 2025-10-31 11:08:54 UTC; giuse
Author: Giuseppe Corbelli [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-04 11:10:02 UTC

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New package makicoint with initial version 1.0.0
Package: makicoint
Title: Maki Cointegration Test with Structural Breaks
Version: 1.0.0
Date: 2025-10-26
Description: Implements the Maki (2012) <doi:10.1016/j.econmod.2012.05.006> cointegration test that allows for an unknown number of structural breaks. The test detects cointegration relationships in the presence of up to five structural breaks in the intercept and/or slope coefficients. Four different model specifications are supported: level shifts, level shifts with trend, regime shifts, and trend with regime shifts. The method is described in Maki (2012) "Tests for cointegration allowing for an unknown number of breaks" <doi:10.1016/j.econmod.2012.05.006>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports:
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/merwanroudane/makicoint
BugReports: https://github.com/merwanroudane/makicoint/issues
NeedsCompilation: no
Packaged: 2025-10-31 02:38:31 UTC; HP
Author: Merwan Roudane [aut, cre]
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 10:50:02 UTC

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Mon, 03 Nov 2025

New package tldrDocs with initial version 0.0.1
Package: tldrDocs
Title: Provide 'tldrPages' Documentation for Base R Functions
Version: 0.0.1
Description: Documentation for commonly-used objects included in the base distribution of R. Note that 'tldrDocs' does not export any functions itself, its purpose is to write .Rd files during its installation for 'tldr()' to find.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 18:45:22 UTC; rstudio
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:30:02 UTC

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New package StepRegShiny with initial version 1.6.1
Package: StepRegShiny
Version: 1.6.1
Title: Graphical User Interface for 'StepReg'
Date: 2025-10-22
Description: A web-based 'shiny' interface for the 'StepReg' package enables stepwise regression analysis across linear, generalized linear (including logistic, Poisson, Gamma, and negative binomial), and Cox models. It supports forward, backward, bidirectional, and best-subset selection under a range of criteria. The package also supports stepwise regression to multivariate settings, allowing multiple dependent variables to be modeled simultaneously. Users can explore and combine multiple selection strategies and criteria to optimize model selection. For enhanced robustness, the package offers optional randomized forward selection to reduce overfitting, and a data-splitting workflow for more reliable post-selection inference. Additional features include logging and visualization of the selection process, as well as the ability to export results in common formats.
License: MIT + file LICENSE
BugReports: https://github.com/JunhuiLi1017/StepRegShiny/issues
VignetteBuilder: knitr
Suggests: knitr, testthat, BiocStyle, survival
Imports: StepReg, shiny, DT, shinythemes, shinycssloaders, dplyr, ggplot2, stringr, flextable, cowplot, ggcorrplot, tidyr, summarytools, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-10-30 05:21:27 UTC; lij11
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Date/Publication: 2025-11-03 19:10:08 UTC

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New package MixStable with initial version 0.1.0
Package: MixStable
Title: Parameter Estimation for Stable Distributions and Their Mixtures
Version: 0.1.0
Description: Provides various functions for parameter estimation of one-dimensional stable distributions and their mixtures. It implements a diverse set of estimation methods, including quantile-based approaches, regression methods based on the empirical characteristic function (empirical, kernel, and recursive), and maximum likelihood estimation. For mixture models, it provides stochastic expectation–maximization (SEM) algorithms and Bayesian estimation methods using sampling and importance sampling to overcome the long burn-in period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes tools and statistical tests for analyzing whether a dataset follows a stable distribution. Some of the implemented methods are described in Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) <doi:10.1080/02664763.2024.2434627>.
License: GPL-3
Encoding: UTF-8
Imports: stabledist, mixtools, nortest, openxlsx, e1071, jsonlite, libstable4u, stats, graphics, MASS, utils
Suggests: ggplot2, grDevices, moments, readxl, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-30 00:19:17 UTC; FX506
Author: Solym Manou-Abi [aut, cre], Adam Najib [aut], Yousri Slaoui [aut]
Maintainer: Solym Manou-Abi <solym.manou.abi@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:18 UTC

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New package crookR with initial version 0.1.0
Package: crookR
Title: Synthetic Crook Deformations in Stem Point Clouds
Version: 0.1.0
Description: Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.
License: MIT + file LICENSE
URL: https://github.com/raudep/crookR
BugReports: https://github.com/raudep/crookR/issues
Depends: R (>= 4.2)
Imports: data.table, stats, utils
Suggests: knitr, lidR, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2025-10-30 15:20:29 UTC; rads0001
Author: Raul de Paula Pires [aut, cre]
Maintainer: Raul de Paula Pires <rauldepaulapires@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:02 UTC

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New package barrel with initial version 0.1.0
Package: barrel
Title: Covariance-Based Ellipses and Annotation Tools for Ordination Plots
Version: 0.1.0
Description: Provides tools to visualize ordination results in 'R' by adding covariance-based ellipses, centroids, vectors, and confidence regions to plots created with 'ggplot2'. The package extends the 'vegan' framework and supports Principal Component Analysis (PCA), Redundancy Analysis (RDA), and Non-metric Multidimensional Scaling (NMDS). Ellipses can represent either group dispersion (standard deviation, SD) or centroid precision (standard error, SE), following Wang et al. (2015) <doi:10.1371/journal.pone.0118537>. Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) <doi:10.1002/wics.1421>. This approach reduces the influence of outliers. barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: robustbase, ggplot2, stats, ggrepel, vegan, grid, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-30 10:41:14 UTC; Usuari
Author: Diego Barranco-Elena [aut, cre]
Maintainer: Diego Barranco-Elena <diego.barranco@udl.cat>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:07 UTC

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New package armadillo4r with initial version 0.6.0
Package: armadillo4r
Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is derived from Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.
Version: 0.6.0
Imports: cpp4r
Suggests: desc, mockery, testthat (>= 3.0.0), withr
Depends: R(>= 3.5.0)
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/armadillo4r/issues
URL: https://pacha.dev/armadillo4r/, https://github.com/pachadotdev/armadillo4r
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 03:22:36 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:10:02 UTC

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New package rAccess with initial version 0.1.1.2
Package: rAccess
Title: Access Control Module for 'shiny' Applications
Version: 0.1.1.2
Description: Provides a flexible framework for implementing hierarchical access control in 'shiny' applications. Features include user permission management through a two-tier system of access panels and units, pluggable 'shiny' module for administrative interfaces, and support for multiple storage backends (local, 'AWS S3', 'Posit Connect'). The system enables fine-grained control over application features, with built-in audit trails and user management capabilities. Integrates seamlessly with 'Posit Connect's authentication system.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: config, dplyr, DT, here, htmlwidgets, httr, jsonlite, magrittr, pins, R6, shiny, shinyjs, shinyWidgets, tibble, tidyr, yaml, shinyalert, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://johnsonandjohnson.github.io/rAccess/, https://github.com/johnsonandjohnson/rAccess/
BugReports: https://github.com/johnsonandjohnson/rAccess/issues/
NeedsCompilation: no
Packaged: 2025-10-29 22:40:13 UTC; peshghi
Author: Peyman Eshghi [aut, cre] , Nandu Krishnan [aut], Nadia Abraham [aut], Harika Adapala [ctb], Johnson & Johnson Innovative Medicine [cph, fnd]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 18:50:02 UTC

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New package infocausality with initial version 1.0
Package: infocausality
Title: Information-Theoretic Measure of Causality
Version: 1.0
Description: Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/infocausality/, https://github.com/stscl/infocausality
BugReports: https://github.com/stscl/infocausality/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp
Imports: methods, reticulate (>= 1.41.0), sdsfun, sf, terra
Suggests: gdverse, ggplot2, knitr, Rcpp, rmarkdown, spEDM, tEDM
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-10-29 11:25:13 UTC; 31809
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 18:30:08 UTC

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New package GGenemy with initial version 0.1.0
Package: GGenemy
Title: Audit 'ggplot2' Visualizations for Accessibility and Best Practices
Version: 0.1.0
Description: Audits 'ggplot2' visualizations for accessibility issues, misleading practices, and readability problems. Checks for color accessibility concerns including colorblind-unfriendly palettes, misleading scale manipulations such as truncated axes and dual y-axes, text readability issues like small fonts and overlapping labels, and general accessibility barriers. Provides comprehensive audit reports with actionable suggestions for improvement. Color vision deficiency simulation uses methods from the 'colorspace' package Zeileis et al. (2020) <doi:10.18637/jss.v096.i01>. Contrast calculations follow WCAG 2.1 guidelines (W3C 2018 <https://www.w3.org/WAI/WCAG21/Understanding/contrast-minimum>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, colorspace, grDevices
URL: https://github.com/andytai7/GGenemy
BugReports: https://github.com/andytai7/GGenemy/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-29 22:38:35 UTC; andytai
Author: Andy Man Yeung Tai [aut, cre]
Maintainer: Andy Man Yeung Tai <andy.tai@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2025-11-03 18:50:10 UTC

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New package whatifbandit with initial version 0.3.0
Package: whatifbandit
Title: Analyzing Randomized Experiments as Multi-Arm Bandits
Version: 0.3.0
Description: Simulates the results of completed randomized controlled trials, as if they had been conducted as adaptive Multi-Arm Bandit (MAB) trials instead. Augmented inverse probability weighted estimation (AIPW), outlined by Hadad et al. (2021) <doi:10.1073/pnas.2014602118>, is used to robustly estimate the probability of success for each treatment arm under the adaptive design. Provides customization options to simulate perfect/imperfect information, stationary/non-stationary bandits, blocked treatment assignments, along with control augmentation, and other hybrid strategies for assigning treatment arms. The methods used in simulation were inspired by Offer-Westort et al. (2021) <doi:10.1111/ajps.12597>.
License: GPL (>= 3)
URL: https://github.com/Noch05/whatifbandit
BugReports: https://github.com/Noch05/whatifbandit/issues
Depends: R (>= 4.1.0)
Imports: bandit, data.table, dplyr, furrr, ggplot2, lubridate, purrr, randomizr, rlang, tibble, tidyr
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-29 16:28:47 UTC; noaho
Author: Noah Ochital [aut, cre, cph] , Ryan T. Moore [ctb, cph]
Maintainer: Noah Ochital <noahochital@icloud.com>
Repository: CRAN
Date/Publication: 2025-11-03 10:20:02 UTC

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New package vaccinationimpact with initial version 0.1.0
Package: vaccinationimpact
Title: Impact Study of Vaccination Campaigns
Version: 0.1.0
Description: Tools to estimate the impact of vaccination campaigns at population level (number of events averted, number of avertable events, number needed to vaccinate). Inspired by the methodology proposed by Foppa et al. (2015) <doi:10.1016/j.vaccine.2015.02.042> and Machado et al. (2019) <doi:10.2807/1560-7917.ES.2019.24.45.1900268> for influenza vaccination impact.
License: MIT + file LICENSE
URL: https://github.com/Epiconcept-Paris/vaccinationimpact/, https://epiconcept-paris.github.io/vaccinationimpact/
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-29 15:50:47 UTC; Yohann Mansiaux
Author: Yohann Mansiaux [aut, cre], Alexandre Blake [aut], James Humphreys [aut], Baltazar Nunes [aut]
Maintainer: Yohann Mansiaux <y.mansiaux@epiconcept.fr>
Repository: CRAN
Date/Publication: 2025-11-03 10:20:10 UTC

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New package fmriAR with initial version 0.2.0
Package: fmriAR
Title: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data
Version: 0.2.0
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Description: Lightweight utilities to estimate autoregressive (AR) and autoregressive moving average (ARMA) noise models from residuals and apply matched generalized least squares to whiten functional magnetic resonance imaging (fMRI) design and data matrices. The ARMA estimator follows a classic 1982 approach <doi:10.1093/biomet/69.1.81>, and a restricted AR family mirrors workflows described by Cox (2012) <doi:10.1016/j.neuroimage.2011.08.056>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, abind, withr
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: OpenMP (optional)
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/fmriAR/
NeedsCompilation: yes
Packaged: 2025-10-29 13:23:04 UTC; bbuchsbaum
Repository: CRAN
Date/Publication: 2025-11-03 10:10:02 UTC

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New package apor with initial version 0.1.0
Package: apor
Title: Assessment of Predictions for an Ordinal Response
Version: 0.1.0
Description: Produces several metrics to assess the prediction of ordinal categories based on the estimated probability distribution for each unit of analysis produced by any model returning a matrix with these probabilities.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-29 15:42:45 UTC; JEU
Author: Javier Espinosa-Brito [aut, cre]
Maintainer: Javier Espinosa-Brito <javier.espinosa.b@usach.cl>
Repository: CRAN
Date/Publication: 2025-11-03 10:30:02 UTC

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New package ssebiEF with initial version 1.0.1
Package: ssebiEF
Title: Calculation of SSEBI and Evaporative Fraction from Raster Data
Version: 1.0.1
Date: 2025-10-21
Description: Calculates a modified Simplified Surface Energy Balance Index (SSEBI) and the Evaporative Fraction (EF) using geospatial raster data such as albedo and surface-air temperature difference (TS–TA). The SSEBI is computed from albedo and TS–TA to estimate surface moisture and evaporative dynamics, providing a robust assessment of surface dryness while accounting for atmospheric variations. Based on Roerink, Su, and Menenti (2000) <doi:10.1016/S1464-1909(99)00128-8>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats, terra
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-28 17:51:10 UTC; hamelin
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>
Repository: CRAN
Date/Publication: 2025-11-03 08:20:02 UTC

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New package pandemonium with initial version 0.2.4
Package: pandemonium
Title: High Dimensional Analysis in Linked Spaces
Version: 0.2.4
Description: A 'shiny' GUI that performs high dimensional cluster analysis. This tool performs data preparation, clustering and visualisation within a dynamic GUI. With interactive methods allowing the user to change settings all without having to to leave the GUI. An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: tourr, stats, tibble, ggplot2, RColorBrewer, dplyr, dendextend, fpc, shiny, shinythemes, DT, tidyr, tidyselect, magrittr, detourr (>= 0.2.0), crosstalk, Rtsne, plotly, alphahull, uwot, shinyFeedback, ggpcp, rlang, viridis
LazyData: true
Suggests: knitr, readr, rmarkdown, testthat (>= 3.0.0), VIM
VignetteBuilder: knitr
URL: https://gabrielmccoy.github.io/pandemonium/
NeedsCompilation: no
Packaged: 2025-10-29 06:54:39 UTC; gabrielmccoy
Author: Gabriel McCoy [aut, cre], Ursula Laa [aut] , German Valencia [aut]
Maintainer: Gabriel McCoy <gabe.mccoy02@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 08:30:02 UTC

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New package MannWhitneyCopula with initial version 0.1.1
Package: MannWhitneyCopula
Title: Computing Mann-Whitney Effect Based on Copulas
Version: 0.1.1
Description: Computing the Mann-Whitney effect based on copula models. Estimation of the association parameter in survival copula models. A description of the underlying methods is described in Nakazono et al. (2024) <doi:10.3390/math12101453> and Nakazono et al. (accepted for publication in Statistical Papers).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: survival, tidyverse, ggplot2, purrr, dplyr, tidyr
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-29 08:34:29 UTC; nakazono_kosuke
Author: Kosuke Nakazono [aut, cre]
Maintainer: Kosuke Nakazono <nakazono@ism.ac.jp>
Repository: CRAN
Date/Publication: 2025-11-03 08:50:02 UTC

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Fri, 31 Oct 2025

New package SEMsensitivity with initial version 0.1.0
Package: SEMsensitivity
Title: SEM Sensitivity Analysis
Version: 0.1.0
Maintainer: Biying Zhou <biying.zhou@psu.edu>
Description: Performs sensitivity analysis for Structural Equation Modeling (SEM). It determines which sample points need to be removed for the sign of a specific path in the SEM model to change, thus assessing the robustness of the model. Methodological manuscript in preparation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lavaan, dplyr, R.utils, semfindr, stats, methods,
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-27 22:43:23 UTC; zby15
Author: Biying Zhou [aut, cre] , Feng Ji [aut]
Repository: CRAN
Date/Publication: 2025-10-31 18:10:08 UTC

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New package ProduceR with initial version 1.0
Package: ProduceR
Title: Concise and Efficient Tools for Everyday Statistical Production
Version: 1.0
Description: A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).
Encoding: UTF-8
Imports: dplyr, rlang, tibble
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-10-28 12:50:38 UTC; vincent.reduron
Author: Vincent Reduron [cre, aut]
Maintainer: Vincent Reduron <vincent.reduron@laposte.net>
Repository: CRAN
Date/Publication: 2025-10-31 18:30:02 UTC

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New package PenguinR with initial version 0.1.0
Package: PenguinR
Title: A Comprehensive Collection of Penguin Datasets for Statistical Analysis and Experimental Design
Version: 0.1.0
Maintainer: Juan Pablo Vargas Perez <j.pablovargas340@gmail.com>
Description: Offers a comprehensive collection of penguin-related datasets suitable for descriptive statistics, hypothesis testing, and experimental design. Derived from open ecological and biological sources such as Palmer Station studies, the package integrates datasets covering adult morphology, clutch size, blood isotope composition, and heart rate. It is designed for researchers, students, and educators to explore statistical methods including ANOVA, regression, multivariate analysis, and design of experiments in an accessible and reproducible context.
License: GPL-3
URL: https://github.com/jpablovargas340/PenguinR, https://jpablovargas340.github.io/PenguinR/
BugReports: https://github.com/jpablovargas340/PenguinR/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-28 00:07:17 UTC; Juan Pablo
Author: Juan Pablo Vargas Perez [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-31 18:10:14 UTC

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New package mKBO with initial version 0.1.0
Package: mKBO
Title: Multi-Group Kitagawa-Blinder-Oaxaca Decomposition
Version: 0.1.0
Description: Provides multigroup Kitagawa-Blinder-Oaxaca ('mKBO') decompositions, that allow for more than two groups. Each group is compared to the sample average. For more details see Thaning and Nieuwenhuis (2025) <doi:10.31235/osf.io/6twvj_v1>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, purrr, stats, tibble, tidyselect, stringr, rlang, broom, utils
NeedsCompilation: no
Packaged: 2025-10-28 09:33:14 UTC; rniee
Author: Rense Nieuwenhuis [cre, aut] , Max Thaning [aut]
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>
Repository: CRAN
Date/Publication: 2025-10-31 18:20:13 UTC

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New package hirisplexr with initial version 0.1.0
Package: hirisplexr
Title: From 'PLINK' to 'HIrisPlex'
Version: 0.1.0
Maintainer: Andrea Giardina <andrea.giardina1@open.ac.uk>
Description: Read 'PLINK' 1.9 binary datasets (BED/BIM/FAM) and generate the CSV files required by the Erasmus MC 'HIrisPlex' / 'HIrisPlex-S' webtool <https://hirisplex.erasmusmc.nl/>. It maps 'PLINK' alleles to the webtool's required 'rsID_Allele' columns (0/1/2/NA). No external tools (e.g., 'PLINK CLI') are required.
License: MIT + file LICENSE
URL: https://github.com/adhikari-statgen-lab/hirisplexr
BugReports: https://github.com/adhikari-statgen-lab/hirisplexr/issues
Depends: R (>= 3.6)
Imports: BEDMatrix, data.table, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-28 10:46:01 UTC; agiardina
Author: Andrea Giardina [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-31 18:20:17 UTC

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New package amsSim with initial version 0.1.0
Package: amsSim
Title: Adaptive Multilevel Splitting for Option Simulation and Pricing
Version: 0.1.0
Description: Simulation and pricing routines for rare-event options using Adaptive Multilevel Splitting and standard Monte Carlo under Black-Scholes and Heston models. Core routines are implemented in C++ via Rcpp and RcppArmadillo with lightweight R wrappers.
License: MIT + file LICENSE
URL: https://github.com/RiccardoGozzo/amsSim, https://arxiv.org/html/2510.23461v1
BugReports: https://github.com/RiccardoGozzo/amsSim/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2025-10-28 11:45:15 UTC; riccardogozzo
Author: Riccardo Gozzo [aut, cre]
Maintainer: Riccardo Gozzo <gozzoriccardo0@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-31 18:20:23 UTC

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New package tabler with initial version 0.1.0
Package: tabler
Title: Create Dashboards with 'Tabler' and 'Shiny'
Version: 0.1.0
Description: Provides functions to build interactive dashboards combining the 'Tabler UI Kit' with 'Shiny', making it easy to create professional-looking web applications. 'Tabler' is fully responsive and compatible with all modern browsers. Offers customizable layouts and components built with 'HTML5' and 'CSS3'. The underlying 'Tabler' (<https://github.com/tabler/tabler>) and 'Tabler Icons' (<https://github.com/tabler/tabler-icons>) were pre-built from source to eliminate the need for 'Node.js' and 'NPM' on package installation.
URL: https://github.com/pachadotdev/tabler
BugReports: https://github.com/pachadotdev/tabler/issues
Depends: R (>= 3.5.0)
License: Apache License (>= 2)
Imports: htmltools
Suggests: DT, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-27 17:44:00 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre], Tabler [ctb, cph]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-31 17:50:08 UTC

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Thu, 30 Oct 2025

New package svytest with initial version 1.1.0
Package: svytest
Title: Survey Weight Diagnostic Tests
Version: 1.1.0
Description: Provides diagnostic tests for assessing the informativeness of survey weights in regression models. Implements difference-in-coefficients tests (Hausman 1978 <doi:10.2307/1913827>; Pfeffermann 1993 <doi:10.2307/1403631>), weight-association tests (DuMouchel and Duncan 1983 <doi:10.2307/2288185>; Pfeffermann and Sverchkov 1999 <https://www.jstor.org/stable/25051118>; Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>; Wu and Fuller 2005 <https://www.jstor.org/stable/27590461>), estimating equations tests (Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>), and non-parametric permutation tests. Includes simulation utilities replicating Wang et al. (2023 <doi:10.1111/insr.12509>) and extensions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: Rcpp, survey
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, rmarkdown, sampling, dplyr, tidyr, tibble, future.apply, broom, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-10-27 14:57:19 UTC; cnlub
Author: Corbin Lubianski [aut, cre, cph]
Maintainer: Corbin Lubianski <cnlubianski@yahoo.com>
Repository: CRAN
Date/Publication: 2025-10-30 20:20:02 UTC

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New package lang with initial version 0.1.0
Package: lang
Title: Translates R Help Documentation using Large Language Models
Version: 0.1.0
Description: Translates R help documentation on the fly by using a Large Language model of your choice. If you are using 'RStudio' or 'Positron' the translated help will appear in the help pane.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: callr, cli, fs, glue, mall, rlang, rstudioapi, tools, withr
Suggests: testthat (>= 3.0.0), ellmer
URL: https://mlverse.github.io/lang/
NeedsCompilation: no
Packaged: 2025-10-27 12:43:42 UTC; edgar
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@posit.co>
Repository: CRAN
Date/Publication: 2025-10-30 20:10:02 UTC

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New package DLFM with initial version 0.1.0
Package: DLFM
Version: 0.1.0
Title: Distributed Laplace Factor Model
Description: Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, FarmTest, MASS, LaplacesDemon, matrixcalc, relliptical, LFM
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Depends: R (>= 3.5.0)
BuildManual: yes
Suggests: testthat (>= 3.0.0)
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2025-10-30 20:10:08 UTC
Packaged: 2025-10-27 12:08:43 UTC; R7000

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New package RootscanR with initial version 0.0.1
Package: RootscanR
Title: Stitching and Analyzing Root Scans
Version: 0.0.1
Author: Sophie Kersting [aut, cre] , Linda Knuever [aut], Mareike Fischer [aut]
Maintainer: Sophie Kersting <sophie.kersting@uni-greifswald.de>
Description: Minirhizotrons are widely used to observe and explore roots and their growth. This package provides the means to stitch images and divide them into depth layers. Please note that this R package was developed alongside the following manuscript: Stitching root scans and extracting depth layer information -- a workflow and practical examples, S. Kersting, L. Knüver, and M. Fischer. The manuscript is currently in preparation and should be citet as soon as it is available. This project was supported by the project ArtIGROW, which is a part of the WIR!-Alliance ArtIFARM – Artificial Intelligence in Farming funded by the German Federal Ministry of Research, Technology and Space (No. 03WIR4805).
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: stringr, grid, png, abind, parallel
Suggests:
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-27 12:40:26 UTC; Maus
Repository: CRAN
Date/Publication: 2025-10-30 20:00:02 UTC

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New package greenSD with initial version 0.1.1
Package: greenSD
Title: Access and Analyze Global GreenSpace Spatial Data
Version: 0.1.1
Description: Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.
URL: https://github.com/billbillbilly/greenSD, https://billbillbilly.github.io/greenSD/
BugReports: https://github.com/billbillbilly/greenSD/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: terra, maptiles, sf, future, furrr, purrr, nominatimlite, utils, cli, dsmSearch, rstac, landscapemetrics, magick, aws.s3, dplyr, tidyr, stringr, tibble, grDevices, rlang
NeedsCompilation: no
Packaged: 2025-10-26 23:24:16 UTC; xiaohaoyang
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-30 19:50:02 UTC

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New package GMC with initial version 0.1.1
Package: GMC
Title: Generalized Measure of Correlation (GMC)
Version: 0.1.1
Description: Provides tools to compute the Generalized Measure of Correlation (GMC), a dependence measure accounting for nonlinearity and asymmetry in the relationship between variables. Based on the method proposed by Zheng, Shi, and Zhang (2012).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Imports: ks, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-27 08:45:18 UTC; ding'x'j
Author: Xuejing Ding [aut, cre], Zhengjun Zhang [aut]
Maintainer: Xuejing Ding <dingxuejing24@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2025-10-30 20:00:09 UTC

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New package contentanalysis with initial version 0.2.0
Package: contentanalysis
Title: Scientific Content and Citation Analysis from PDF Documents
Version: 0.2.0
Description: Provides comprehensive tools for extracting and analyzing scientific content from PDF documents, including citation extraction, reference matching, text analysis, and bibliometric indicators. Supports multi-column PDF layouts, 'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: base64enc (>= 0.1-3), dplyr (>= 1.1.0), httr2 (>= 0.2.0), igraph, jsonlite (>= 2.0.0), magrittr (>= 2.0.4), openalexR (>= 2.0.2), pdftools (>= 3.6.0), purrr (>= 1.1.0), stringr (>= 1.5.2), tibble (>= 3.3.0), tidyr (>= 1.3.0), tidytext (>= 0.4.3), visNetwork (>= 2.1.4)
Suggests: knitr, plotly, RColorBrewer, rmarkdown, scales, stringdist, testthat (>= 3.0.0), mockery
URL: https://github.com/massimoaria/contentanalysis,
BugReports: https://github.com/massimoaria/contentanalysis/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-27 08:16:47 UTC; massimoaria
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>
Repository: CRAN
Date/Publication: 2025-10-30 19:50:06 UTC

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New package BayesSIM with initial version 0.1.4
Package: BayesSIM
Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Version: 0.1.4
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <c>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), nimble, ggplot2
Imports: magrittr, patchwork, tidyr, coda, mvtnorm, methods, MASS
NeedsCompilation: no
Packaged: 2025-10-27 05:49:50 UTC; eklee
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>
Suggests: testthat (>= 3.0.0)
Repository: CRAN
Date/Publication: 2025-10-30 20:00:14 UTC

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New package socialSim with initial version 0.1.6
Package: socialSim
Title: Simulate and Analyse Social Interaction Data
Version: 0.1.6
Description: Provides tools to simulate and analyse datasets of social interactions between individuals using hierarchical Bayesian models implemented in Stan. The package interacts with Stan via 'cmdstanr' (available from <https://mc-stan.org/r-packages/>) or 'rstan', depending on user setup. Users can generate realistic interaction data where individual phenotypes influence and respond to those of their partners, with control over sampling design parameters such as the number of individuals, partners, and repeated dyads. The simulation framework allows flexible control over variation and correlation in mean trait values, social responsiveness, and social impact, making it suitable for research on interacting phenotypes and on direct and indirect genetic effects ('DGEs' and 'IGEs'). The package also includes functions to fit and compare alternative models of social effects, including impact–responsiveness, variance–partitioning, and trait-based models, and to summarise model performance in t [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: MASS, stats, future, future.apply,
Suggests: rstan, cmdstanr, devtools, testthat, rmarkdown, knitr
VignetteBuilder: knitr
URL: https://github.com/RoriWijnhorst/socialSim
BugReports: https://github.com/RoriWijnhorst/socialSim/issues
Additional_repositories: https://stan-dev.r-universe.dev
NeedsCompilation: no
Packaged: 2025-10-26 21:36:19 UTC; Wijnhorst
Author: Rori Efrain Wijnhorst [aut, cre]
Maintainer: Rori Efrain Wijnhorst <roriwijnhorst@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-30 14:20:02 UTC

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New package infotest with initial version 0.1.0
Package: infotest
Title: Information Matrix Test for Regression Models
Version: 0.1.0
Maintainer: Hasraddin Guliyev <hasradding@unec.edu.az>
Description: Implements the Information Matrix test for regression models following Cameron, A. C., & Trivedi, P. K. (1990) <https://cameron.econ.ucdavis.edu/research/imtest_impliedalternatives_ucdwp372.pdf> Decomposes the test into components for heteroscedasticity, skewness, and kurtosis to diagnose specific forms of misspecification. Provides both overall and component-wise statistics for model assessment.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Imports: stats
Suggests: spelling
Encoding: UTF-8
URL: https://github.com/guliyevh/infotest
BugReports: https://github.com/guliyevh/infotest/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-26 22:52:58 UTC; macbookm4
Author: Hasraddin Guliyev [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-30 14:30:02 UTC

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Wed, 29 Oct 2025

New package samplex with initial version 0.3.0
Package: samplex
Title: Shiny Tool for Sample Size Calculation
Version: 0.3.0
Description: An interactive 'shiny' application to assist in determining sample sizes for common survey designs such as 'simple random sampling', 'stratified sampling', and 'cluster sampling'. It includes formulas, helper calculators, and illustrative examples.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: shiny
Suggests: knitr, rmarkdown, DT, dplyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2025-10-26 09:15:59 UTC; grami
Author: Gustavo Ramirez-Valverde [aut, cre], Benito Ramirez-Valverde [aut]
Maintainer: Gustavo Ramirez-Valverde <gramirez@colpos.mx>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:02 UTC

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New package minorparties with initial version 1.0.0
Package: minorparties
Title: Quantitatively Analyze Minor Political Parties
Version: 1.0.0
Description: Tools for calculating I-Scores, a simple way to measure how successful minor political parties are at influencing the major parties in their environment. I-Scores are designed to be a more comprehensive measurement of minor party success than vote share and legislative seats won, the current standard measurements, which do not reflect the strategies that most minor parties employ. The procedure leverages the Manifesto Project's NLP model to identify the issue areas that sentences discuss, see Burst et al. (2024) <doi:10.25522/manifesto.manifestoberta.56topics.context.2024.1.1>, and the Wordfish algorithm to estimate the relative positions that platforms take on those issue areas, see Slapin and Proksch (2008) <doi:10.1111/j.1540-5907.2008.00338.x>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), withr
Imports: dplyr, purrr, quanteda, quanteda.textmodels, reticulate, rlang, spacyr, stats, stringi, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
URL: https://gerckentheodore.github.io/minorparties/
NeedsCompilation: no
Packaged: 2025-10-26 20:03:48 UTC; TheodoreGercken
Author: Theodore Gercken [aut, cre, cph]
Maintainer: Theodore Gercken <tgercken@hamilton.edu>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:12 UTC

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New package BayesPower with initial version 1.0.1
Package: BayesPower
Title: Sample Size and Power Calculation for Bayesian Testing with Bayes Factor
Version: 1.0.1
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v1>.
BugReports: https://github.com/tkWong3004/BayesPower/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: rlang, shiny, gsl, Rcpp, ExtDist, ggplot2, patchwork, rmarkdown, glue, hypergeo, rootSolve, shinyWidgets
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2025-10-26 08:54:28 UTC; u971096
Author: Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 20:10:17 UTC

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New package survC with initial version 0.1.0
Package: survC
Title: Survival Model Validation Utilities
Version: 0.1.0
Author: Minhyuk Kim [aut, cre]
Maintainer: Minhyuk Kim <mhkim@zarathu.com>
Description: Provides helper functions to compute linear predictors, time-dependent ROC curves, and Harrell's concordance index for Cox proportional hazards models as described in Therneau (2024) <https://CRAN.R-project.org/package=survival>, Therneau and Grambsch (2000, ISBN:0-387-98784-3), Hung and Chiang (2010) <doi:10.1002/cjs.10046>, Uno et al. (2007) <doi:10.1198/016214507000000149>, Blanche, Dartigues, and Jacqmin-Gadda (2013) <doi:10.1002/sim.5958>, Blanche, Latouche, and Viallon (2013) <doi:10.1007/978-1-4614-8981-8_11>, Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030>, Peto and Peto (1972) <doi:10.2307/2344317>, Schemper (1992) <doi:10.2307/2349009>, and Uno et al. (2011) <doi:10.1002/sim.4154>.
Imports: survival, stats, timeROC, officer, rvg
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://newjoseph.github.io/survC/
Suggests: magrittr, jstable, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-24 00:33:07 UTC; minhyuk.kim
Repository: CRAN
Date/Publication: 2025-10-29 19:40:02 UTC

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New package sdbuildR with initial version 1.0.5
Package: sdbuildR
Title: Easily Build, Simulate, and Visualise Stock-and-Flow Models
Version: 1.0.5
Date: 2025-10-23
Description: Stock-and-flow models are a computational method from the field of system dynamics. They represent how systems change over time and are mathematically equivalent to ordinary differential equations. 'sdbuildR' (system dynamics builder) provides an intuitive interface for constructing stock-and-flow models without requiring extensive domain knowledge. Models can quickly be simulated and revised, supporting iterative development. 'sdbuildR' simulates models in 'R' and 'Julia', where 'Julia' offers unit support and large-scale ensemble simulations. Additionally, 'sdbuildR' can import models created in 'Insight Maker' (<https://insightmaker.com/>).
URL: https://kcevers.github.io/sdbuildR/, https://github.com/KCEvers/sdbuildR
BugReports: https://github.com/KCEvers/sdbuildR/issues
Depends: R (>= 4.2.0)
Imports: data.table, deSolve, DiagrammeR, dplyr, igraph, jsonlite, JuliaConnectoR, magrittr, parallel, plotly, purrr, rlang, rvest, stringr, xml2
Suggests: DiagrammeRsvg, htmlwidgets, kableExtra, knitr, rsvg, styler, testthat (>= 3.0.0), textutils, webshot2
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2025-10-24 13:23:48 UTC; kevers1
Author: Kyra Caitlin Evers [aut, cre, cph]
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 19:50:02 UTC

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New package projoint with initial version 1.0.6
Package: projoint
Title: Conjoint Analysis with Reliability Correction and Visualization
Version: 1.0.6
Date: 2025-10-24
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>
Author: Yusaku Horiuchi [aut, cre] , Aaron Kaufman [aut] , Gary King [aut]
Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
Imports: dplyr (>= 1.1.2), readr, rlang, tidyr, stringr, tidyselect, estimatr, ggthemes, ggplot2, stats, tibble, methods, MASS, forcats, scales
Suggests: tidyverse, knitr, rmarkdown, downloadthis, patchwork, testthat (>= 3.0.0), DiagrammeR
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://yhoriuchi.github.io/projoint/
Depends: R (>= 4.1.0)
LazyData: false
BugReports: https://github.com/yhoriuchi/projoint/issues
NeedsCompilation: no
Packaged: 2025-10-24 22:41:21 UTC; yusakuhoriuchi
Repository: CRAN
Date/Publication: 2025-10-29 19:50:09 UTC

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New package openesm with initial version 0.1.0
Package: openesm
Title: Access the Open Experience Sampling Method Database
Version: 0.1.0
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.0), fs, httr2, jsonlite, readr, purrr, dplyr, tibble, zen4R
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/openesm-project/openesm-r
BugReports: https://github.com/openesm-project/openesm-r/issues
NeedsCompilation: no
Packaged: 2025-10-25 06:24:36 UTC; Bjoern
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-29 20:00:07 UTC

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New package FactorCopulaModel with initial version 0.1.0
Package: FactorCopulaModel
Title: Factor Copula Models
Version: 0.1.0
Description: Inference methods for factor copula models for continuous data in Krupskii and Joe (2013) <doi:10.1016/j.jmva.2013.05.001>, Krupskii and Joe (2015) <doi:10.1016/j.jmva.2014.11.002>, Fan and Joe (2024) <doi:10.1016/j.jmva.2023.105263>, one factor truncated vine models in Joe (2018) <doi:10.1002/cjs.11481>, and Gaussian oblique factor models. Functions for computing tail-weighted dependence measures in Lee, Joe and Krupskii (2018) <doi:10.1080/10485252.2017.1407414> and estimating tail dependence parameter.
License: GPL-3
Imports: cubature, igraph, VineCopula
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-10-25 06:04:23 UTC; krups
Author: Harry Joe [aut], Pavel Krupskii [aut, cre], Xinyao Fan [aut], Allan Macleod [cph], Robert Gentleman [cph], Ross Ihaka [cph]
Maintainer: Pavel Krupskii <pavel.krupskiy@unimelb.edu.au>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-29 20:00:11 UTC

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New package edar with initial version 0.0.5
Package: edar
Title: Convenient Functions for Exploratory Data Analysis
Version: 0.0.5
Description: A collection of convenient functions to facilitate common tasks in exploratory data analysis. Some common tasks include generating summary tables of variables, displaying tables as a 'flextable' or a 'kable' and showing distributions of variables using 'ggplot2'. Labels stating the source file with run time can be easily generated for annotation in tables and plots.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://soutomas.github.io/edar/, https://github.com/soutomas/edar/
BugReports: https://github.com/soutomas/edar/issues
Imports: dplyr, flextable, grDevices, janitor, kableExtra, knitr, magrittr, patchwork, rlang, rstudioapi, scales, tidyr
Suggests: ggplot2, gt
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-10-24 16:23:16 UTC; tomas
Author: Tomas Sou [aut, cre]
Maintainer: Tomas Sou <tomas.sou@carexer.com>
Repository: CRAN
Date/Publication: 2025-10-29 19:50:16 UTC

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Tue, 28 Oct 2025

New package spdgp with initial version 0.1.0
Package: spdgp
Title: Simulate Spatial Data Generation Processes
Version: 0.1.0
Description: Provides functionality for simulating data generation processes across various spatial regression models, conceptually aligned with the 'dgp' module of the 'Python' library 'spreg' <https://pysal.org/spreg/api.html#dgp>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
URL: https://josiahparry.github.io/spdgp/, https://github.com/josiahparry/spdgp
BugReports: https://github.com/josiahparry/spdgp/issues
Imports: cli, MASS, Matrix, methods, rlang, sf, smoothmest, spatialreg, spdep, stats, vctrs
NeedsCompilation: no
Packaged: 2025-10-23 13:53:26 UTC; dell
Author: Josiah Parry [aut] , Wenbo Lv [aut, cre] , Edzer Pebesma [ctb]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:20:02 UTC

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New package modeltuning with initial version 0.1.2
Package: modeltuning
Title: Model Selection and Tuning Utilities
Version: 0.1.2
Description: Provides a lightweight framework for model selection and hyperparameter tuning in R. The package offers intuitive tools for grid search, cross-validation, and combined grid search with cross-validation that work seamlessly with virtually any modeling package. Designed for flexibility and ease of use, it standardizes tuning workflows while remaining fully compatible with a wide range of model interfaces and estimation functions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: future.apply, progressr, R6, rlang
Suggests: e1071, future, parallelly, paws, rsample, rpart, yardstick, knitr, rmarkdown
URL: https://www.dmolitor.com/modeltuning/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 18:13:12 UTC; dmolitor
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:50:02 UTC

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New package ksm with initial version 1.0
Package: ksm
Title: Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Version: 1.0
Description: Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
BugReports: https://github.com/lbelzile/ksm/issues
Imports: Rcpp (>= 1.0.12)
Suggests: cubature, tinytest
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-10-23 15:15:27 UTC; lbelzile
Author: Leo Belzile [aut, cre] , Frederic Ouimet [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:02 UTC

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New package HPZoneAPI with initial version 1.0.0
Package: HPZoneAPI
Title: 'HPZone' API Interface
Version: 1.0.0
Maintainer: Aart Dijkstra <a.dijkstra@ggdnog.nl>
Description: Package that simplifies the use of the 'HPZone' API. Most of the annoying and labor-intensive parts of the interface are handled by wrapper functions. Note that the API and its details are not publicly available. Information can be found at <https://www.ggdghorkennisnet.nl/groep/726-platform-infectieziekte-epidemiologen/documenten/map/9609> for those with access.
URL: https://github.com/ggdatascience/HPZoneAPI
BugReports: https://github.com/ggdatascience/HPZoneAPI/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, httr2, jsonlite, keyring, lubridate, magrittr, readxl, rstudioapi, safer, stringr
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 11:04:02 UTC; a.dijkstra
Author: Aart Dijkstra [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-28 12:20:08 UTC

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New package ganttify with initial version 0.1.1
Package: ganttify
Title: Create Interactive Gantt Charts with Work Breakdown Structure
Version: 0.1.1
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of plotly for interactive visualizations.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: plotly (>= 4.9.0), dplyr (>= 1.0.0), htmlwidgets (>= 1.5.0), magrittr, rlang
Suggests: knitr, rmarkdown
URL: https://github.com/AhmedAredah/Ganttify
BugReports: https://github.com/AhmedAredah/Ganttify/issues
NeedsCompilation: no
Packaged: 2025-10-23 14:38:05 UTC; A-Aredah
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:08 UTC

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New package easynem with initial version 1.0.3
Package: easynem
Title: Nematode Community Analysis
Version: 1.0.3
Description: Provides a built-in Nemaplex database for nematodes, which can be used to search for various nematodes. Also supports various nematode community and functional analyses such as nematode diversity, maturity index, metabolic footprint, and functional guild. The methods are based on <https://shiny.wur.nl/ninja/>, Bongers, T. (1990) <doi:10.1007/BF00324627>, Ferris, H. (2010) <doi:10.1016/j.ejsobi.2010.01.003>, Wan, B. et al. (2022) <doi:10.1016/j.soilbio.2022.108695>, and Van Den Hoogen, J. et al. (2019) <doi:10.1038/s41586-019-1418-6>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: agricolae, broom, dplyr, DT, ggplot2, ggpubr, ggraph, igraph, methods, multcompView, readr, reshape2, rlang, rstatix, shiny, shinydashboard, stats, Ternary, tibble, tidyr, utils, vegan
Depends: R (>= 4.1.0)
LazyData: true
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-23 15:20:21 UTC; wkg
Author: Wang Kunguang [aut, cre]
Maintainer: Wang Kunguang <whkygl@163.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:13 UTC

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New package CspStandSegmentation with initial version 0.1.2
Package: CspStandSegmentation
Title: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data
Version: 0.1.2
Description: Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.
URL: https://github.com/JulFrey/CspStandSegmentation
BugReports: https://github.com/JulFrey/CspStandSegmentation/issues
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.5), lidR, dbscan, igraph, foreach, doParallel, magrittr, data.table, sf, terra, RCSF, conicfit, rgl
LinkingTo: Rcpp, RcppArmadillo, lidR, BH
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-10-23 15:37:21 UTC; Frey
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2025-10-28 12:40:08 UTC

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New package pleioh2g with initial version 0.1.0
Package: pleioh2g
Title: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics
Version: 0.1.0
Description: Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: data.table, dplyr, stats, rlang, mvtnorm, fs, arrow, checkmate, cli, gdata, glue, purrr, tibble, vroom
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-26 14:46:50 UTC; yujiezhao
Author: Yujie Zhao [aut, cre]
Maintainer: Yujie Zhao <yujiezhao@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-10-28 09:50:02 UTC

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New package THETASVM with initial version 0.1.0
Package: THETASVM
Title: Time Series Forecasting using THETA-SVM Hybrid Model
Version: 0.1.0
Depends: R (>= 2.3.1), stats,forecast, tseries, TSSVM
Description: Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2025-10-23 06:37:43 UTC; hps
Author: Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut, ctb], Santosha Rathod [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:30:08 UTC

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New package rSDR with initial version 1.0.2.1
Package: rSDR
Title: Robust Sufficient Dimension Reduction
Version: 1.0.2.1
Description: A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.
License: GPL (>= 3)
Encoding: UTF-8
Imports: expm, ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future, future.apply, ggplot2, ggsci
Suggests: knitr, rmarkdown, Matrix, RcppNumerical, fdm2id
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 03:41:24 UTC; chiann
Author: Sheau-Chiann Chen [aut, cre] , Shilin Zhao [aut], Hsin-Hsiung Bill Huang [aut]
Maintainer: Sheau-Chiann Chen <sheau-chiann.chen.1@vumc.org>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:08 UTC

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New package roclab with initial version 0.1.3
Package: roclab
Title: ROC-Optimizing Binary Classifiers
Version: 0.1.3
Description: Implements ROC (Receiver Operating Characteristic)–Optimizing Binary Classifiers, supporting both linear and kernel models. Both model types provide a variety of surrogate loss functions. In addition, linear models offer multiple regularization penalties, whereas kernel models support a range of kernel functions. Scalability for large datasets is achieved through approximation-based options, which accelerate training and make fitting feasible on large data. Utilities are provided for model training, prediction, and cross-validation. The implementation builds on the ROC-Optimizing Support Vector Machines. For more information, see Hernàndez-Orallo, José, et al. (2004) <doi:10.1145/1046456.1046489>, presented in the ROC Analysis in AI Workshop (ROCAI-2004).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, graphics, utils, ggplot2, fastDummies, kernlab, pracma, rsample, dplyr, caret
Suggests: mlbench, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/gimunBae/roclab
BugReports: https://github.com/gimunBae/roclab/issues
NeedsCompilation: no
Packaged: 2025-10-23 03:43:18 UTC; bgd55
Author: Gimun Bae [aut, cre], Seung Jun Shin [aut]
Maintainer: Gimun Bae <gimunbae0201@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:02 UTC

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New package iSTAY with initial version 1.0.0
Package: iSTAY
Title: Information-Based Stability and Synchrony Measures
Version: 1.0.0
Date: 2025-10-16
Author: Anne Chao [aut, cre], Yu-Ting Huang [aut], Johnny Shia [aut]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Description: Provides functions to to compute a continuum of information-based measures for quantifying the temporal stability of populations, communities, and ecosystems, as well as their associated synchrony, based on species (or species assemblage) biomass or other key variables. When biodiversity data are available, the package also enables the assessment of the corresponding diversity–stability relationships. All measures are applicable in both temporal and spatial contexts. The theoretical and methodological background is detailed in Chao et al. (2025) <doi:10.1101/2025.08.20.671203>.
License: GPL (>= 3)
Imports: ggplot2 (>= 3.5.0), stringr, lmerTest, lme4, dplyr, ggpubr
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 07:46:36 UTC; nthu
Repository: CRAN
Date/Publication: 2025-10-28 08:30:02 UTC

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New package hetcorFS with initial version 1.0
Package: hetcorFS
Title: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix
Version: 1.0
Description: Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features, and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review. Forthcoming.
License: GPL-2
Imports: polycor, dplyr, cluster, graphics,psych
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 09:22:44 UTC; cristina
Author: Cristina Tortora [aut, cre, fnd], Antonio Punzo [aut], Shaam Madhvani [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:40:02 UTC

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New package GulFM with initial version 0.1.2
Package: GulFM
Title: General Unilateral Load Estimator for Two-Layer Latent Factor Models
Version: 0.1.2
Description: Implements general unilateral loading estimator for two-layer latent factor models with smooth, element-wise factor transformations. We provide data simulation, loading estimation,finite-sample error bounds, and diagnostic tools for zero-mean and sub-Gaussian assumptions. A unified interface is given for evaluating estimation accuracy and cosine similarity. The philosophy of the package is described in Guo G. (2026) <doi:10.1016/j.apm.2025.116280>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: MASS, matrixStats
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-22 23:54:26 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-10-28 08:10:02 UTC

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New package afmpar with initial version 0.2.0
Package: afmpar
Title: Check Validity of Greek AFM and PA Numbers
Version: 0.2.0
Author: Panagiotis Cheilaris [aut, cre]
Maintainer: Panagiotis Cheilaris <philaris@gmail.com>
Description: With the functions in this package you can check the validity of the Greek Tax Identification Number (AFM) and the Greek Personal Number (PA) <https://pa.gov.gr>. The PA is a new universal ID for Greek citizens across all public services and it is to replace older numbers issued by various Greek state agencies. Its format is a 12-character ID consisting of three alphanumeric characters followed by the nine numerical digits of the AFM.
URL: https://github.com/philaris/afmpar
BugReports: https://github.com/philaris/afmpar/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 09:05:09 UTC; philaris
Repository: CRAN
Date/Publication: 2025-10-28 08:40:07 UTC

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Sun, 26 Oct 2025

New package contextFind with initial version 1.0.1
Package: contextFind
Title: Find Code Snippets with Context and Click to Navigate Directly to Results
Version: 1.0.1
Description: Search across R files with contextual results, highlights and clickable links. Includes an add-in for further workflow enhancement.
License: CC0
Encoding: UTF-8
Imports: rstudioapi, cli, shiny, miniUI
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 19:20:42 UTC; SteveJackson
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <s87jackson@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-26 20:30:08 UTC

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New package fairGNN with initial version 0.1.0
Package: fairGNN
Title: Fairness-Aware Gated Neural Networks
Version: 0.1.0
Description: Tools for training and analysing fairness-aware gated neural networks for subgroup-aware prediction and interpretation in clinical datasets. Methods draw on prior work in mixture-of-experts neural networks by Jordan and Jacobs (1994) <doi:10.1007/978-1-4471-2097-1_113>, fairness-aware learning by Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>, and personalised treatment prediction for depression by Iniesta, Stahl, and McGuffin (2016) <doi:10.1016/j.jpsychires.2016.03.016>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, ggplot2, readr, pROC, magrittr, tidyr, purrr, utils, stats, ggalluvial, tidyselect
Suggests: knitr, torch, testthat, readxl, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rhysholland/fairGNN
BugReports: https://github.com/rhysholland/fairGNN/issues
Depends: R (>= 4.1.0)
SystemRequirements: Optional 'LibTorch' backend; install via torch::install_torch().
NeedsCompilation: no
Packaged: 2025-10-22 11:32:41 UTC; k2584926
Author: Rhys Holland [aut, cre]
Maintainer: Rhys Holland <rhys.holland@icloud.com>
Repository: CRAN
Date/Publication: 2025-10-26 19:50:10 UTC

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New package Rsearch with initial version 1.0.0
Package: Rsearch
Title: Processing and Analyzing Amplicon Sequence Data
Version: 1.0.0
Maintainer: Cassandra Stamsaas <cassandra.hjortdahl@nmbu.no>
Description: Processing and analysis of targeted sequencing data. The package provides a user-friendly interface for core 'VSEARCH' (Rognes et al. (2016), <doi:10.7717/peerj.2584>) functions, in addition to tools for visualization and parameter tuning.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ape (>= 5.8.1), cowplot (>= 1.1.3), dplyr, ggExtra (>= 0.10.1), ggplot2 (>= 3.5.1), microseq (>= 2.1.6), phyloseq (>= 1.50.0), RColorBrewer (>= 1.1.3), readr (>= 2.1.5), stats, stringr (>= 1.5.1), tibble (>= 3.2.1), tidyr (>= 1.3.1)
Suggests: rmarkdown, testthat (>= 3.0.0), withr (>= 3.0.2)
URL: https://cassandrahjo.github.io/Rsearch/, https://github.com/CassandraHjo/Rsearch/
BugReports: https://github.com/CassandraHjo/Rsearch/issues/
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-10-22 05:46:02 UTC; cassandrahjortdahl
Author: Cassandra Stamsaas [cre, aut], Lars Snipen [aut], Torbjoern Rognes [aut], Hilde Vinje [aut]
Repository: CRAN
Date/Publication: 2025-10-26 18:40:14 UTC

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New package leakr with initial version 0.1.0
Package: leakr
Title: Data Leakage Detection Tools for Machine Learning
Version: 0.1.0
Description: Provides utilities to detect common data leakage patterns including train/test contamination, temporal leakage, and data duplication, enhancing model reliability and reproducibility in machine learning workflows. Generates diagnostic reports and visual summaries to support data validation. Methods based on best practices from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0387848570).
Imports: ggplot2, arrow, data.table, digest, htmltools, openxlsx, readxl, stringr, workflows, jsonlite
Suggests: testthat (>= 3.0.0), caret, mlr3, tidymodels, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 08:43:45 UTC; Isabella
Author: Cheryl Isabella Lim [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-26 18:50:02 UTC

More information about leakr at CRAN
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Sat, 25 Oct 2025

New package snirh.lab with initial version 0.1.0
Package: snirh.lab
Title: Convert Laboratory Water-Quality Data to 'SNIRH' Import Format
Version: 0.1.0
Description: Convert laboratory data to the Portuguese Information System for Water Resources 'SNIRH' file format. 'SNIRH' is Portugal's national water resources information system <https://snirh.apambiente.pt/>. The package validates station data, converts parameters and units, and generates compliant output files for data submission.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 4.0.0)
Imports: data.table (>= 1.14.0), cli (>= 3.0.0), utils
Suggests: sf (>= 1.0.0), curl (>= 4.0.0), testthat (>= 3.0.0), rmarkdown, spelling
URL: https://github.com/lpereira-ue/snirh.lab
BugReports: https://github.com/lpereira-ue/snirh.lab/issues
NeedsCompilation: no
Packaged: 2025-10-22 07:37:47 UTC; luis.pereira
Author: Luis Pereira [aut, cre]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>
Repository: CRAN
Date/Publication: 2025-10-25 12:50:03 UTC

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New package SlotLim with initial version 0.0.2
Package: SlotLim
Title: Catch Advice for Fisheries Managed by Harvest Slot Limits
Version: 0.0.2
Description: Catch advice for data-limited vertebrate and invertebrate fisheries managed by harvest slot limits using the SlotLim harvest control rule. The package accompanies the manuscript "SlotLim: catch advice for data-limited vertebrate and invertebrate fisheries managed by harvest slot limits" (Pritchard et al., in prep). Minimum data requirements: at least two consecutive years of catch data, length–frequency distributions, and biomass or abundance indices (all from fishery-dependent sources); species-specific growth rate parameters (either von Bertalanffy, Gompertz, or Schnute); and either the natural mortality rate ('M') or the maximum observed age ('tmax'), from which M is estimated. The following functions have optional plotting capabilities that require 'ggplot2' installed: prop_target(), TBA(), SAM(), catch_advice(), catch_adjust(), and slotlim_once().
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, grid, stats, utils, patchwork
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-21 13:08:55 UTC; calumpritchard
Author: C.J. Pritchard [aut, cre]
Maintainer: C.J. Pritchard <cj_pritchard@outlook.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:30:02 UTC

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New package scov with initial version 0.1.2
Package: scov
Title: Structured Covariances Estimators for Pairwise and Spatial Covariates
Version: 0.1.2
Description: Implements estimators for structured covariance matrices in the presence of pairwise and spatial covariates. Metodiev, Perrot-Dockès, Ouadah, Fosdick, Robin, Latouche & Raftery (2025) <doi:10.48550/arXiv.2411.04520>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Matrix, missMDA, mvtnorm, ohenery, pracma, quadprog, withr, purrr
VignetteBuilder: knitr
Suggests: knitr, markdown, corrplot
NeedsCompilation: no
Packaged: 2025-10-21 11:26:27 UTC; metodiev
Author: Martin Metodiev [aut, cre, cph] , Marie Perrot-Dockes [aut], Stephane Robin [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:20:02 UTC

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New package latbias with initial version 1.0.0
Package: latbias
Title: Calculate the Latitudinal Bias Index
Version: 1.0.0
Description: Studies that report shifts in species distributions may be biased by the shape of the study area. The main functionality of this package is to calculate the Latitudinal Bias Index (LBI) for any given shape. The LBI is bounded between +1 (100% probability to exclusively record latitudinal shifts, i.e., range shifts data sampled along a perfectly South-North oriented straight line) and -1 (100% probability to exclusively record longitudinal shifts, i.e., range shifts data sampled along a perfectly East-West oriented straight line).
Depends: R (>= 3.5.3)
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, geosphere, ggplot2, psych, RColorBrewer, reshape2, sf, sp, terra, tidyr, units
Suggests: elevatr, knitr, progress, rmarkdown, rnaturalearth, rnaturalearthdata, testthat (>= 3.0.0)
URL: https://github.com/pierredenelle/latbias,
BugReports: https://github.com/pierredenelle/latbias/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-21 16:01:25 UTC; Pierre
Author: Pierre Denelle [aut, cre] , Pieter Sanczuk [aut]
Maintainer: Pierre Denelle <pierre.denelle@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:02 UTC

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New package inteli with initial version 0.1.0
Package: inteli
Title: Interval Estimation by Likelihoodist (LI) Compared to Frequentist (CI)
Version: 0.1.0
Description: Parameter estimation via likelihood interval (LI) compared to traditional method (CI). This is the expanded version for 'LBI'- and 'wnl'-package, formulated by Kyun-Seop Bae <k@acr.kr>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 05:29:10 UTC; KANEYAMA
Author: Kim Minkyu [aut, cre]
Maintainer: Kim Minkyu <mkim@acr.kr>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:07 UTC

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New package imfapi with initial version 0.1.0
Package: imfapi
Title: Econdataverse 'IMF Data API' Client
Version: 0.1.0
Description: Provides user-friendly functions for programmatic access to macroeconomic data from the International Monetary Fund's 'SDMX 3.0 IMF Data API' <https://data.imf.org/en/Resource-Pages/IMF-API>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.1.2), purrr (>= 1.0.0), tibble (>= 3.2.1), httr2 (>= 0.6.0), jsonlite (>= 1.8.0)
Suggests: curl, knitr, stringr, testthat (>= 3.0.0)
URL: https://teal-insights.github.io/r-imfapi/, https://github.com/Teal-Insights/r-imfapi
BugReports: https://github.com/Teal-Insights/r-imfapi/issues
NeedsCompilation: no
Packaged: 2025-10-21 22:27:17 UTC; chris
Author: Teal Insights [aut, cre, cph]
Maintainer: Teal Insights <lte@tealinsights.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:12 UTC

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New package ForCausality with initial version 0.1.0
Package: ForCausality
Title: A Curated Collection of 'Causal Inference' Datasets and Tools
Version: 0.1.0
Maintainer: Tomas Valderrama <tomasvm2004@gmail.com>
Description: Provides a comprehensive set of datasets and tools for 'causal inference' research. The package includes data from clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies. Designed to facilitate causal analysis, risk assessment, and advanced statistical modeling, it leverages datasets from packages such as 'causalOT', 'survival', 'causalPAF', 'evident', 'melt', and 'sanon'. The package is inspired by the foundational work of Pearl (2009) <doi:10.1017/CBO9780511803161> on causal inference frameworks.
License: GPL-3
URL: https://github.com/Toby-codigos/ForCausality, https://toby-codigos.github.io/ForCausality/
BugReports: https://github.com/Toby-codigos/ForCausality/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 02:18:33 UTC; tomis
Author: Tomas Valderrama [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-25 12:40:22 UTC

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New package ffiec with initial version 0.1.3
Package: ffiec
Title: R Interface to 'FFIEC Central Data Repository REST API' Service
Version: 0.1.3
Description: Provides a simplified interface to the Central Data Repository 'REST API' service made available by the United States Federal Financial Institutions Examination Council ('FFIEC'). Contains functions to retrieve reports of Condition and Income (Call Reports) and Uniform Bank Performance Reports ('UBPR') in list or tidy data frame format for most 'FDIC' insured institutions. See <https://cdr.ffiec.gov/public/Files/SIS611_-_Retrieve_Public_Data_via_Web_Service.pdf> for the official 'REST API' documentation published by the 'FFIEC'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, httr2, jsonlite, purrr, rlang, stringr, tibble, xml2
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ketchbrookanalytics/ffiec, https://ketchbrookanalytics.github.io/ffiec/
BugReports: https://github.com/ketchbrookanalytics/ffiec/issues
NeedsCompilation: no
Packaged: 2025-10-21 13:28:04 UTC; root
Author: Michael Thomas [aut, cre], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>
Repository: CRAN
Date/Publication: 2025-10-25 12:40:17 UTC

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New package confidenceSim with initial version 0.1.0
Package: confidenceSim
Title: Highly Customizable, Parallelized Simulations of Frequentist Confidence Clinical Trials
Version: 0.1.0
Description: Simulate one or many frequentist confidence clinical trials based on a specified set of parameters. From a two-arm, single-stage trial to a perpetually run Adaptive Platform Trial, this package offers vast flexibility to customize your trial and observe operational characterisitics over thousands of instances.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: confidenceCurves (>= 0.2.0), genodds (>= 1.1.2), rpact (>= 4.0.0)
Depends: R (>= 4.3)
LazyData: true
Suggests: dplyr (>= 1.1.4), knitr, parallel (>= 4.3.2), pbapply (>= 1.7.2), plyr (>= 1.8.9), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-21 11:34:52 UTC; fwerdiger
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2025-10-25 12:20:07 UTC

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New package PanelSelect with initial version 1.0.0
Package: PanelSelect
Title: Panel Sample Selection Models
Version: 1.0.0
Maintainer: Jing Peng <jing.peng@uconn.edu>
Description: Extends the Heckman selection framework to panel data with individual random effects. The first stage models participation via a panel Probit specification, while the second stage can take a panel linear, Probit, Poisson, or Poisson log-normal form. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Imports: Rcpp, PanelCount, pbivnorm, maxLik, statmod, MASS, data.table, pbv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-10-21 06:19:09 UTC; pengj
Author: Jing Peng [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-25 12:00:02 UTC

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New package LRQVB with initial version 1.0.0
Package: LRQVB
Title: Low Rank Correction Quantile Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Version: 1.0.0
Description: A Low Rank Correction Variational Bayesian algorithm for high-dimensional multi-source heterogeneous quantile linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of parameter estimation are output: one is the standard variational Bayesian estimation, and the other is the variational Bayesian estimation corrected with low-rank adjustment.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), glmnet, lava, stats, MASS
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-10-21 01:52:59 UTC; 11877
Author: Lu Luo [aut, cre], Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-25 12:00:07 UTC

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Thu, 23 Oct 2025

New package rdav with initial version 0.1.3
Package: rdav
Title: Simple 'WebDAV' Client
Version: 0.1.3
Date: 2025-10-20
Maintainer: Gunther Krauss <guntherkrauss@uni-bonn.de>
Description: A simple 'WebDAV' client that provides functions to fetch and send files or folders to servers using the 'WebDAV' protocol (see 'RFC' 4918 <https://www.rfc-editor.org/rfc/rfc4918>). Only a subset of the protocol is implemented (e.g. file locks are not yet supported).
License: GPL-2
URL: https://github.com/gk-crop/rdav
BugReports: https://github.com/gk-crop/rdav/issues
Depends: R (>= 4.1.0)
Imports: utils, httr2, xml2
Suggests: keyring, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-20 20:28:39 UTC; k
Author: Gunther Krauss [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-23 14:50:02 UTC

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New package sumup with initial version 1.0.0
Package: sumup
Title: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Version: 1.0.0
Description: Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, dplyr, jsonlite, magrittr, rlang, udpipe, reticulate, stats, stringr, textclean, tibble, tidyr, tidytext, topicmodels, utils
Suggests: matrixStats, reshape2, sentimentr, slam, stopwords, stringi, textstem, tokenizers
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-10-20 09:03:19 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2025-10-23 13:50:02 UTC

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New package poseticDataAnalysis with initial version 0.1.0
Package: poseticDataAnalysis
Title: Posetic Data Analysis
Version: 0.1.0
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
License: GPL (>= 2)
Imports: methods
SystemRequirements: C++20
NeedsCompilation: yes
Encoding: UTF-8
Repository: CRAN
Packaged: 2025-10-20 05:53:55 UTC; ale
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Date/Publication: 2025-10-23 13:10:03 UTC

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New package CompositionalSR with initial version 1.0
Package: CompositionalSR
Title: Spatial Regression Models with Compositional Data
Version: 1.0
Date: 2025-10-17
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: blockCV, Compositional, doParallel, foreach, minpack.lm, parallel, Rfast, sf, stats
Suggests: Rfast2
Description: Spatial regression models with compositional responses using the alpha--transformation. Relevant papers include: Tsagris M. (2025), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-20 15:58:50 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-10-23 13:50:08 UTC

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Wed, 22 Oct 2025

New package tind with initial version 0.2
Package: tind
Title: A Common Representation of Time Indices of Different Types
Version: 0.2
Date: 2025-10-18
Description: Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.
Depends: R (>= 3.6.0)
Suggests: crayon, methods, stats, testthat, knitr, rmarkdown, fansi, htmltools
Enhances: utils, graphics, ggplot2, zoo, timeDate, chron, data.table
License: GPL-3
URL: https://github.com/dever-pl/tind
BugReports: https://github.com/dever-pl/tind/issues
Encoding: UTF-8
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2025-10-18 19:06:55 UTC; dever
Author: Grzegorz Klima [aut, cre, cph]
Maintainer: Grzegorz Klima <dever@post.pl>
Repository: CRAN
Date/Publication: 2025-10-22 19:10:02 UTC

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New package OmopOnSpark with initial version 0.1.0
Package: OmopOnSpark
Title: Using a Common Data Model on 'Spark'
Version: 0.1.0
Description: Use health data in the Observational Medical Outcomes Partnership Common Data Model format in 'Spark'. Functionality includes creating all required tables and fields and creation of a single reference to the data. Native 'Spark' functionality is supported.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, datasets, DBI, dbplyr, dplyr, glue, omopgenerics (>= 1.3.1), purrr, rlang, stringr
Suggests: testthat (>= 3.0.0), omock, knitr, rmarkdown, CDMConnector, OmopSketch, odbc, R6, crayon, sparklyr, DatabaseConnector
VignetteBuilder: knitr
URL: https://OHDSI.github.io/OmopOnSpark/
NeedsCompilation: no
Packaged: 2025-10-19 18:42:36 UTC; orms0426
Author: Edward Burn [aut, cre] , Marti Catala [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-22 19:20:02 UTC

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New package ci with initial version 0.0.1
Package: ci
Title: Confidence Intervals for Education
Version: 0.0.1
Description: An educational package providing intuitive functions for calculating confidence intervals (CI) for various statistical parameters. Designed primarily for teaching and learning about statistical inference (particularly confidence intervals). Offers user-friendly wrappers around established methods for proportions, means, and bootstrap-based intervals. Integrates seamlessly with Tidyverse workflows, making it ideal for classroom demonstrations and student exercises.
License: GPL (>= 3)
URL: https://github.com/GegznaV/ci
BugReports: https://github.com/GegznaV/ci/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DescTools, dplyr, tidyr, purrr, forcats, tibble, checkmate
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-19 20:21:15 UTC; ViG
Author: Vilmantas Gegzna [aut, cre]
Maintainer: Vilmantas Gegzna <GegznaV@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-22 19:30:02 UTC

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New package bayesQRsurvey with initial version 0.1.4
Package: bayesQRsurvey
Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Version: 0.1.4
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Imports: Rcpp, stats, graphics, methods, pracma, ggplot2, rlang, posterior
Suggests: MASS, knitr, rmarkdown, grDevices, testthat (>= 3.0.0)
SystemRequirements: BLAS, LAPACK
URL: https://github.com/torodriguezt/bayesQRsurvey
BugReports: https://github.com/torodriguezt/bayesQRsurvey/issues
NeedsCompilation: yes
Packaged: 2025-10-18 21:02:55 UTC; Tomas
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-22 19:10:10 UTC

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New package scf with initial version 1.0.4
Package: scf
Title: Analyzing the Survey of Consumer Finances
Version: 1.0.4
Description: Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.
License: MIT + file LICENSE
URL: https://github.com/jncohen/scf
BugReports: https://github.com/jncohen/scf/issues
Depends: R (>= 3.6)
Imports: ggplot2, haven, httr, rlang, stats, survey, utils
Suggests: dplyr, hexbin, kableExtra, knitr, mitools, rmarkdown, markdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, markdown, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-18 11:04:17 UTC; jcohen
Author: Joseph Cohen [aut, cre]
Maintainer: Joseph Cohen <joseph.cohen@qc.cuny.edu>
Repository: CRAN
Date/Publication: 2025-10-22 19:00:02 UTC

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New package NeEDS4BigData with initial version 1.0.1
Package: NeEDS4BigData
Title: New Experimental Design Based Subsampling Methods for Big Data
Version: 1.0.1
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Description: Subsampling methods for big data under different models and assumptions. Starting with linear regression and leading to Generalised Linear Models, softmax regression, and quantile regression. Specifically, the model-robust subsampling method proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>, where multiple models can describe the big data, and the subsampling framework for potentially misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025) <doi:10.48550/arXiv.2510.05902>.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/NeEDS4BigData,https://amalan-constat.github.io/NeEDS4BigData/index.html
BugReports: https://github.com/Amalan-ConStat/NeEDS4BigData/issues
Depends: R (>= 4.1.0)
Imports: dplyr, foreach, gam, ggh4x, ggplot2, ggridges, matrixStats, mvnfast, psych, Rdpack, Rfast, rlang, stats, tidyr
Suggests: doParallel, ggpubr, kableExtra, knitr, parallel, rmarkdown, spelling, testthat, vctrs, pillar
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-10-18 14:12:20 UTC; amala
Author: Amalan Mahendran [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-22 19:00:08 UTC

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New package mcmodule with initial version 1.1.0
Package: mcmodule
Title: Modular Monte Carlo Risk Analysis
Version: 1.1.0
Description: Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, perform multivariate Monte Carlo node operations, automate the creation of Monte Carlo nodes and visualize risk analysis models. For more details see Ciria (2025) <https://nataliaciria.github.io/mcmodule/articles/mcmodule>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://nataliaciria.github.io/mcmodule/, https://github.com/NataliaCiria/mcmodule
BugReports: https://github.com/NataliaCiria/mcmodule/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), visNetwork, igraph, bookdown
Imports: dplyr
Depends: mc2d, R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-18 05:57:44 UTC; Natalia
Author: Natalia Ciria [aut, cre, cph] , Alberto Allepuz [ths] , Giovanna Ciaravino [ths]
Maintainer: Natalia Ciria <nataliaciria@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-22 18:50:02 UTC

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New package CFM with initial version 0.6.0
Package: CFM
Title: Analyzing Censored Factor Models
Version: 0.6.0
Description: Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, MASS, psych, matrixcalc, crch
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Packaged: 2025-10-18 01:51:44 UTC; 86188
Author: Guangbao Guo [aut, cre], Tong Meng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2025-10-22 18:50:10 UTC

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New package BRPL with initial version 1.0.2
Package: BRPL
Title: Methods for Bivariate Poverty Line Calculations
Version: 1.0.2
Description: Provides tools for identifying subgroups within populations based on individual response patterns to specific interventions or treatments. Designed to support researchers and clinicians in exploring heterogeneous treatment effects and developing personalized therapeutic strategies. Offers functionality for analyzing and visualizing the interplay between two variables, thereby enhancing the interpretation of social sustainability metrics. The package focuses on bivariate discriminant analysis and aims to clarify relationships between indicator variables.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, methods
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-03 20:53:34 UTC; rmk
Author: Franziska Dorn [aut, cre], Rene-Marcel Kruse [aut], Thomas Kneib [aut]
Maintainer: Franziska Dorn <franziska.dorn@uni-due.de>
Repository: CRAN
Date/Publication: 2025-10-22 18:40:08 UTC

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New package alpmixBayes with initial version 0.1.0
Package: alpmixBayes
Title: Bayesian Estimation for Alpha-Mixture Survival Models
Version: 0.1.0
Description: Implements Bayesian estimation and inference for alpha-mixture survival models, including Weibull and Exponential based components, with tools for simulation and posterior summaries. The methods target applications in reliability and biomedical survival analysis. The package implements Bayesian estimation for the alpha-mixture methodology introduced in Asadi et al. (2019) <doi:10.1017/jpr.2019.72>.
Maintainer: Feng Luan <fluan1@niu.edu>
Imports: MCMCpack, stats, utils, gtools
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-17 19:22:24 UTC; feng
Author: Feng Luan [aut, cre], Zhexuan Yang [aut], Duchwan Ryu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-22 18:40:02 UTC

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Tue, 21 Oct 2025

New package GHRmodel with initial version 0.1.0
Package: GHRmodel
Title: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
Version: 0.1.0
Description: Supports modeling health outcomes using Bayesian hierarchical spatio-temporal models with complex covariate effects (e.g., linear, non-linear, interactions, distributed lag linear and non-linear models) in the 'INLA' framework. It is designed to help users identify key drivers and predictors of disease risk by enabling streamlined model exploration, comparison, and visualization of complex covariate effects. See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021) <doi:10.1016/S2542-5196(20)30292-8>.
License: GPL (>= 2)
URL: https://gitlab.earth.bsc.es/ghr/ghrmodel, https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel
BugReports: https://gitlab.earth.bsc.es/ghr/ghrmodel/-/issues
Depends: R (>= 4.1.0)
Imports: cowplot, dlnm, dplyr, ggplot2 (>= 3.5.0), GHRexplore, rlang, scales, tidyr, tidyselect
Suggests: INLA, sf, sn, RColorBrewer, colorspace, testthat (>= 3.0.0), spdep, knitr, rmarkdown
Additional_repositories: https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-17 13:18:53 UTC; cmilagar
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Repository: CRAN
Date/Publication: 2025-10-21 18:10:02 UTC

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New package testthatdocs with initial version 1.0.23
Package: testthatdocs
Title: Automated and Idempotent Unit Tests Documentation for Reproducible Quality Assurance
Version: 1.0.23
Description: Automates documentation of test_that() calls within R test files. The package scans test sources, extracts human-readable test titles (even when composed with functions like paste() or glue::glue(), ... etc.), and generates reproducible roxygen2-style listings that can be inserted both globally and per-section. It ensures idempotent updates and supports customizable numbering templates with hierarchical indices. Designed for developers, QA teams, and package maintainers seeking consistent, self-documenting test inventories.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports:
Suggests: testthat (>= 3.0.0), glue, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://github.com/urniaz/testthatdocs
BugReports: https://github.com/urniaz/testthatdocs/issues
NeedsCompilation: no
Packaged: 2025-10-16 21:53:04 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:02 UTC

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New package LLMing with initial version 1.0.0
Package: LLMing
Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Version: 1.0.0
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) <doi:10.1016/j.ress.2015.05.025>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rdpack, quanteda, stopwords, stringi, reticulate, text, dbscan, pracma, stats
URL: https://github.com/sliplr19/LLMing
BugReports: https://github.com/sliplr19/LLMing/issues
NeedsCompilation: no
Packaged: 2025-10-16 16:16:03 UTC; ddj6tu
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-21 17:50:06 UTC

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New package FracFixR with initial version 1.0.0
Package: FracFixR
Title: Compositional Statistical Framework for RNA Fractionation Analysis
Version: 1.0.0
Date: 2025-10-16
Description: A compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. 'FracFixR' addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: future.apply (>= 1.8.1), nnls (>= 1.4), ggplot2 (>= 3.3.5), dplyr (>= 1.0.7), RColorBrewer (>= 1.1-2), tidyr (>= 1.1.3), matrixStats (>= 0.60.0), aod (>= 1.3.1), stats, utils, future, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-16 02:59:56 UTC; acleynen
Author: Alice Cleynen [aut, cre] , Agin Ravindran [aut], Nikolay Shirokikh [aut]
Maintainer: Alice Cleynen <alice.cleynen@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-10-21 17:40:02 UTC

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New package EFM with initial version 0.5.0
Package: EFM
Version: 0.5.0
Title: Elliptical Factor Models
Description: The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, stats, SOPC, matrixcalc
Suggests: testthat (>= 3.0.0), ggplot2, pracma, psych, sn
Depends: R (>= 3.5.0)
NeedsCompilation: no
Language: en-US
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-17 03:33:53 UTC; 86187
Author: Guangbao Guo [aut, cre], Yuanyuan Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-21 18:00:02 UTC

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New package AgeTopicModels with initial version 0.1.0
Package: AgeTopicModels
Title: Inferring Age-Dependent Disease Topic from Diagnosis Data
Version: 0.1.0
Description: We propose an age-dependent topic modelling (ATM) model, providing a low-rank representation of longitudinal records of hundreds of distinct diseases in large electronic health record data sets. The model assigns to each individual topic weights for several disease topics; each disease topic reflects a set of diseases that tend to co-occur as a function of age, quantified by age-dependent topic loadings for each disease. The model assumes that for each disease diagnosis, a topic is sampled based on the individual’s topic weights (which sum to 1 across topics, for a given individual), and a disease is sampled based on the individual’s age and the age-dependent topic loadings (which sum to 1 across diseases, for a given topic at a given age). The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic loadings for each topic to vary with age. References: Jiang (2023) <doi:10.1038/s41588-023-01522-8>.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, ggrepel, grDevices, gtools, magrittr, pROC, reshape2, rlang, stats, stringr, tibble, tidyr, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-10-16 18:35:44 UTC; xj262
Author: Xilin Jiang [aut, cre]
Maintainer: Xilin Jiang <jiangxilin1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:11 UTC

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New package Rfuzzycoco with initial version 0.1.0
Package: Rfuzzycoco
Title: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
Version: 0.1.0
Description: Provides and extends the 'Fuzzy Coco' algorithm by wrapping the 'FuzzyCoCo' 'C++' Library, cf <https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco' constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a 'S3' classic interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip' interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.
License: GPL (>= 3)
URL: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco
BugReports: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco/issues
Depends: R (>= 4.1.0)
Imports: generics, methods, Rcpp, stats, utils
Suggests: knitr, parsnip, progressr, rlang, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-10-16 13:11:13 UTC; ubuntu
Author: Karl Forner [aut, cre]
Maintainer: Karl Forner <karl.forner@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 09:10:51 UTC

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New package paisaje with initial version 0.1.1
Package: paisaje
Title: Spatial and Environmental Data Tools for Landscape Ecology
Version: 0.1.1
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Description: Provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index".
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://manuelspinola.github.io/paisaje/, https://github.com/ManuelSpinola/paisaje
BugReports: https://github.com/ManuelSpinola/paisaje/issues
Imports: rlang, dplyr, tidyr, sf, terra, h3jsr, rvest, httr, landscapemetrics, spocc, exactextractr, progress, magrittr
Suggests: ggplot2, rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-15 22:48:31 UTC; manuelspinola
Author: Manuel Spinola [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-21 08:20:02 UTC

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New package evanverse with initial version 0.3.7
Package: evanverse
Title: Utility Functions for Data Analysis and Visualization
Version: 0.3.7
Date: 2025-10-16
Author: Evan Zhou [aut, cre]
Maintainer: Evan Zhou <evanzhou.bio@gmail.com>
Description: A comprehensive collection of utility functions for data analysis and visualization in R. The package provides 55+ functions for data manipulation, file handling, color palette management, bioinformatics workflows, plotting, and package management. Features include void value handling, custom infix operators, flexible file I/O, and publication-ready visualizations with sensible defaults. Implementation follows tidyverse principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates best practices from the R community.
License: MIT + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Encoding: UTF-8
URL: https://github.com/evanbio/evanverse, https://evanbio.github.io/evanverse/
BugReports: https://github.com/evanbio/evanverse/issues
VignetteBuilder: knitr
Depends: R (>= 4.1)
Imports: cli, tibble, tidyr, data.table, dplyr, ggplot2, jsonlite, curl, openxlsx, readxl, tictoc, fs, rlang, withr, ggpubr, utils, tools, stats, grDevices
Suggests: BiocManager, GSEABase, Biobase, GEOquery, biomaRt, knitr, rmarkdown, testthat (>= 3.0.0), ggvenn, ggVennDiagram, writexl, R.utils, janitor, RColorBrewer, devtools, digest, forestploter, purrr, reactable
NeedsCompilation: no
Packaged: 2025-10-16 11:46:30 UTC; 84241
Repository: CRAN
Date/Publication: 2025-10-21 09:00:02 UTC

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Mon, 20 Oct 2025

New package tteICE with initial version 1.0.1
Package: tteICE
Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Version: 1.0.1
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>
Description: Analyzing treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICEs) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025)<doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, we have a primary outcome event and possibly an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
URL: https://github.com/mephas/tteICE
BugReports: https://github.com/mephas/tteICE/issues
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: True
Imports: cmprsk, MASS, survival, shiny, shinythemes, shinyWidgets, DT, psych
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-10-15 06:05:06 UTC; zhouy
Repository: CRAN
Date/Publication: 2025-10-20 19:40:02 UTC

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New package SimplicialComplex with initial version 0.1.0
Package: SimplicialComplex
Title: Topological Data Analysis: Simplicial Complex
Version: 0.1.0
Maintainer: ChiChien Wang <kennywang2003@gmail.com>
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes. It also implements persistent homology, from building filtrations to computing persistence diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y> and Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>.
Imports: Matrix, gtools, igraph, ggplot2
License: MIT + file LICENSE
URL: https://github.com/TDA-R/SimplicialComplex
BugReports: https://github.com/TDA-R/SimplicialComplex/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-15 08:39:54 UTC; wangqiqian
Author: ChiChien Wang [aut, cre, trl]
Repository: CRAN
Date/Publication: 2025-10-20 19:30:15 UTC

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New package rosario with initial version 0.1.0
Package: rosario
Title: A Null Model Algorithm to Analyze Cyclical Data in Ecology
Version: 0.1.0
Description: Implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, magrittr, purrr, furrr, future, rlang
URL: https://alrobles.github.io/rosario/
Suggests: rmarkdown, ggplot2, spelling
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-14 16:57:45 UTC; maria.h.m_1995
Author: Angel L. Robles-Fernandez [aut], Maria A. Hurtado-Materon [aut], Tatiana Velasquez-Roa [aut, ths], Ivan Castro-Arellano [cre]
Maintainer: Ivan Castro-Arellano <ic13@txstate.edu>
Repository: CRAN
Date/Publication: 2025-10-20 19:10:02 UTC

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New package faunabr with initial version 1.0.0
Package: faunabr
Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Version: 1.0.0
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <http://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Imports: XML (>= 3.99.0.14), data.table (>= 1.14.8), httr (>= 1.4.6), terra (>= 1.7.39), stats (>= 4.2.3), utils(>= 4.2.3),
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/wevertonbio/faunabr/issues
URL: https://wevertonbio.github.io/faunabr/
NeedsCompilation: no
Packaged: 2025-10-15 02:25:42 UTC; wever
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:30:09 UTC

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New package epmfd with initial version 1.1.1
Package: epmfd
Title: Exploratory and Person/Item Misfit Diagnostics for Polytomous Data
Version: 1.1.1
Description: Analysis of items and persons in data. To identify and remove person misfit in polytomous item-response data using either 'mokken' or a graded response model (GRM, via 'mirt'). Provides automatic thresholds, visual diagnostics (2D/3D), and export utilities. Methods build on Mokken scaling as in Mokken (1971, ISBN:9789027968821) and on the graded response model of Samejima (1969) <doi:10.1007/BF03372160>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/hsnbulut/epmfd
BugReports: https://github.com/hsnbulut/epmfd/issues
Imports: dplyr, fs, ggplot2, mirt, mokken, PerFit, readr, rlang, tibble
Suggests: plotly, ggrepel, openxlsx, haven, patchwork, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-15 21:10:27 UTC; hsn
Author: Hasan Bulut [aut, cre] , Asiye Şenguel Avsar [aut]
Maintainer: Hasan Bulut <hasan.bulut@omu.edu.tr>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:08 UTC

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New package CortSineScore with initial version 0.1.0
Package: CortSineScore
Title: Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis
Version: 0.1.0
Description: Computes a single scalar metric for diurnal cortisol cycle analysis, the Cortisol Sine Score (CSS). The score is calculated as the sum over time points of concentration multiplied by sin(2 * pi * time / 24), giving positive weights to morning time points and negative weights to evening ones. The method is model-free, robust, and suitable for regression, classification, clustering, and biomarker research.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: purrr, magrittr, dplyr
Suggests: tibble
URL: https://github.com/simone-anza/CortSineScore
BugReports: https://github.com/simone-anza/CortSineScore/issues
NeedsCompilation: no
Packaged: 2025-10-15 20:33:06 UTC; simon
Author: Simone Anza [aut, cre]
Maintainer: Simone Anza <simoneanza@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:14 UTC

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New package compIndexBuilder with initial version 1.0.0
Package: compIndexBuilder
Version: 1.0.0
Title: Composite Index Builder & Analytics 'shiny' App
Description: Provides an interactive 'shiny' web application for constructing, analyzing, and visualizing composite indices from multidimensional datasets. Users can upload or select indicator data, group variables into logical categories, apply normalization and weighting methods (such as 'equal' or 'custom' schemes), and compute aggregate composite indices. The 'shiny' interface includes tools for exploring results through tables, plots, and data exports, making it useful for researchers, policymakers, and analysts interested in index-based evaluations.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: shiny, plotly, shinydashboard, dplyr, readxl, forecast, tidyr, corrplot, missForest, zoo, tibble, DT, ggplot2, networkD3, psych
Suggests: testthat (>= 3.0.0)
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-10-14 19:22:03 UTC; HAMIAN
Author: Hossein Hassani [aut], Leila Marvian Mashhad [aut, cre], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Fernando CANTU BAZALDUA [aut]
Repository: CRAN
Date/Publication: 2025-10-20 19:20:02 UTC

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New package bigPCAcpp with initial version 0.9.0
Package: bigPCAcpp
Title: Principal Component Analysis for 'bigmemory' Matrices
Version: 0.9.0
Date: 2025-10-02
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: High performance principal component analysis routines that operate directly on 'bigmemory::big.matrix' objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12), methods, withr
Suggests: knitr, rmarkdown, bigmemory, ggplot2, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
VignetteBuilder: knitr
LazyLoad: yes
NeedsCompilation: yes
URL: https://fbertran.github.io/bigPCAcpp/, https://github.com/fbertran/bigPCAcpp/
BugReports: https://github.com/fbertran/bigPCAcpp/issues/
Packaged: 2025-10-14 21:24:55 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-10-20 19:20:07 UTC

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New package funbootband with initial version 0.2.0
Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Time Series Data
Version: 0.2.0
Description: Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
License: GPL-3
URL: https://github.com/koda86/funbootband-cran
BugReports: https://github.com/koda86/funbootband-cran/issues
Depends: R (>= 3.5)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-10-14 13:25:59 UTC; daniel
Author: Daniel Koska [aut, cre, cph]
Maintainer: Daniel Koska <dkoska@proton.me>
Repository: CRAN
Date/Publication: 2025-10-20 09:20:02 UTC

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New package arete with initial version 0.1
Package: arete
Title: Automated REtrieval from TExt
Version: 0.1
Date: 2025-09-29
Author: Vasco V. Branco [cre, aut] , Vaughn Shirey [ctb] , Thomas Merrien [ctb] , Pedro Cardoso [aut]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>
Description: A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Depends: R (>= 4.3.0)
Imports: terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-14 13:54:02 UTC; sauron
Repository: CRAN
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2025-10-20 09:20:07 UTC

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