Tue, 28 Jul 2026

Package sessioncheck updated to version 0.1.1 with previous version 0.1 dated 2026-02-27

Title: Checks Session Status
Description: Provides tools for checking whether an R session is in a clean state, including the global environment, attached packages, loaded namespaces, attached environments, session run time, R options, locale settings, and system environment variables. Intended as a safer replacement for the common 'rm(list = ls())' idiom: rather than silently wiping the global environment, sessioncheck() surfaces problems so the user can make an informed decision.
Author: Danielle Navarro [aut, cre, cph] , Meghan Harris [ctb]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package coresynth updated to version 0.4.1 with previous version 0.4.0 dated 2026-07-20

Title: Fast and Unified Synthetic Control Methods
Description: A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package sfclust updated to version 1.1.0 with previous version 1.0.1 dated 2025-05-19

Title: Bayesian Spatial Functional Clustering
Description: Bayesian clustering of spatial regions with similar functional shapes using spanning trees and latent Gaussian models. The method enforces spatial contiguity within clusters and supports a wide range of latent Gaussian models, including non-Gaussian likelihoods, via the R-INLA framework. The algorithm is based on Zhong, R., Chacón-Montalván, E. A., and Moraga, P. (2026) <doi:10.1002/sim.70597>, extending the approach of Zhang, B., Sang, H., Luo, Z. T., and Huang, H. (2023) <doi:10.1214/22-AOAS1643>. The package includes tools for model fitting, convergence diagnostics, visualization, and summarization of clustering results.
Author: Erick A. Chacon-Montalvan [aut, cre] , Ruiman Zhong [aut] , Paula Moraga [aut]
Maintainer: Erick A. Chacon-Montalvan <erick.chaconmontalvan@wur.nl>

Diff between sfclust versions 1.0.1 dated 2025-05-19 and 1.1.0 dated 2026-07-28

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Package easyclimate updated to version 1.0.0 with previous version 0.2.2 dated 2024-11-22

Title: Easy Access to High-Resolution Daily Climate Data for Europe
Description: Get high-resolution (1 km) daily, monthly and annual climate data (precipitation, and average, minimum and maximum temperatures) for points and polygons within Europe.
Author: Veronica Cruz-Alonso [aut, cph] , Francisco Rodriguez-Sanchez [aut, cph] , Christoph Pucher [aut] , Paloma Ruiz-Benito [aut] , Julen Astigarraga [aut] , Mathias Neumann [aut] , Sofia Miguel [aut, cre] , Sophia Ratcliffe [aut]
Maintainer: Sofia Miguel <sofia.miromero@gmail.com>

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Package crunch readmission to version 1.31.3 with previous version 1.31.2 dated 2026-06-15

Title: Crunch.io Data Tools
Description: The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Greg Freedman Ellis [aut, cre], Jonathan Keane [aut], Mike Malecki [aut], Neal Richardson [aut], Gordon Shotwell [aut], Aljaz Sluga [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>

This is a re-admission after prior archival of version 1.31.2 dated 2026-06-15

Diff between crunch versions 1.31.2 dated 2026-06-15 and 1.31.3 dated 2026-07-28

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Package toxdrc updated to version 2.0.0 with previous version 1.0.1 dated 2026-01-14

Title: Pipeline for Dose-Response Curve Analysis
Description: Provides a variety of tools for assessing dose response curves, with an emphasis on toxicity test data. The main feature of this package are modular functions which can be combined through the namesake pipeline, 'runtoxdrc', to automate the analysis for large and complex datasets. This includes optional data preprocessing steps, like outlier detection, solvent effects, blank correction, averaging technical replicates, and much more. Additionally, this pipeline is adaptable to any long form dataset, and does not require specific column or group naming to work.
Author: Jack Salole [aut, cre]
Maintainer: Jack Salole <salolej@mcmaster.ca>

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Package latentFactoR updated to version 0.0.8 with previous version 0.0.7 dated 2025-11-03

Title: Data Simulation Based on Latent Factors
Description: Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.
Author: Alexander Christensen [aut, cre] , Luis Eduardo Garrido [aut] , Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut] , Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut], David Blackman [ctb] , Sebastiano [...truncated...]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

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Package htna updated to version 0.3.1 with previous version 0.1.0 dated 2026-07-06

Title: Heterogeneous Transition Network Analysis
Description: Implements the Heterogeneous Transition Network Analysis (HTNA) method described by López-Pernas et al. (2026) <doi:10.1002/jcal.70285>. The method is an extension of transition network analysis (TNA) where actions or events belong to two or more distinct actor types (e.g. Human and AI), preserving the actor type partition on the resulting network. Provides a thin, focused API on top of the 'Nestimate' estimation engine and the 'cograph' rendering engine, so downstream bootstrap, permutation, reliability, centrality, and plotting functions treat each actor's codes as a distinct node group.
Author: Sonsoles Lopez-Pernas [aut, cre, cph], Kamila Misiejuk [aut, cph], Mohammed Saqr [aut, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package cdcanthro updated to version 0.3.0 with previous version 0.2.1 dated 2026-07-14

Title: Sex- and Age-Standardized Metrics from the Centers for Disease Control and Prevention (CDC) Growth Charts
Description: Calculation of sex- and age-standardized growth metrics based on the 2000 CDC growth charts for children and adolescents with ages of >= 24.0 to < 240 months. Provides functions to generate z-scores and percentiles for weight, height, and body mass index (BMI) using the LMS method (lambda-mu-sigma). Includes extended BMI z-scores for values above the 95th percentile to more accurately characterize the sex- and age-standardized BMI of children with very high BMIs.
Author: David Freedman [aut, cre]
Maintainer: David Freedman <DavidSFreedman@gmail.com>

Diff between cdcanthro versions 0.2.1 dated 2026-07-14 and 0.3.0 dated 2026-07-28

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More information about cdcanthro at CRAN
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Package visreg updated to version 3.0.0 with previous version 2.8.1 dated 2026-07-08

Title: Visualization of Regression Models
Description: Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
Author: Patrick Breheny [aut, cre] , Woodrow Burchett [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between visreg versions 2.8.1 dated 2026-07-08 and 3.0.0 dated 2026-07-28

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New package UniCensorEM with initial version 0.1.0
Package: UniCensorEM
Title: EM Algorithm for Parameter Estimation Under Censoring Schemes
Version: 0.1.0
Description: Performs parameter estimation using the Expectation-Maximization (EM) algorithm of Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> for arbitrary univariate probability distributions under numerous censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, initial parameter vector, support bounds, and observed data; the package automatically estimates parameters using the EM algorithm under the specified censoring scheme. Supported schemes include complete data, right censoring, left censoring, interval censoring, random censoring, block random censoring, Type-I censoring, Type-II censoring, progressive Type-II censoring (Balakrishnan and Aggarwala (2000, ISBN:978-1-4612-1334-5)), progressive first failure censoring, joint Type-I censoring, joint Type-II censoring, balanced joint progressive Type-II censoring, hybrid censoring, hybrid Type-I censoring, hybrid Type-II c [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, methods, numDeriv
Suggests: testthat (>= 3.0.0), maxLik, bbmle, survival, boot, future, furrr, parallel, foreach, doParallel, ggplot2, cubature, pracma, knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 23:17:39 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:16 UTC

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New package stLMM with initial version 0.0.2
Package: stLMM
Title: Bayesian Spatial and Space-Time Linear Mixed Models
Version: 0.0.2
Author: Andrew O. Finley [aut, cre], Sudipto Banerjee [ctb], Abhirup Datta [ctb], Paul B. May [ctb]
Maintainer: Andrew O. Finley <finleya@msu.edu>
Description: Fits Bayesian linear mixed models for spatial and space-time data with fixed effects, independent and identically distributed (iid) grouped random effects, and structured latent processes. The formula interface supports first-order autoregressive (AR(1)) effects, dense Gaussian processes, nearest-neighbor Gaussian processes, proper and Leroux conditional autoregressive (CAR) effects, ordered directed acyclic graph autoregressive (DAGAR) effects, separable CAR-time and DAGAR-time effects, and spatially varying coefficients. The sampler uses sparse precision matrix calculations when available and includes post-fitting tools for latent process recovery, fitted values, prediction, pointwise log likelihoods, and posterior sample extraction. Method details include Datta et al. (2016) <doi:10.1080/01621459.2015.1044091>, Finley et al. (2019) <doi:10.1080/10618600.2018.1537924>, Datta et al. (2019) <doi:10.1214/19-BA1177>, and May and Finley (2025) <doi:10.1016/j.spasta.20 [...truncated...]
URL: https://github.com/finleya/stLMM, https://finleya.github.io/stLMM/
BugReports: https://github.com/finleya/stLMM/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: BayesLogit (>= 2.4), coda, Matrix (>= 1.7-0), stats
LinkingTo: BayesLogit (>= 2.4), Matrix (>= 1.7-0)
Suggests: ggplot2, knitr, loo, quarto, sf, testthat (>= 3.0.0)
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2026-07-19 13:59:19 UTC; andy
Repository: CRAN
Date/Publication: 2026-07-28 16:30:03 UTC

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New package ssel with initial version 0.3.1
Package: ssel
Title: Semi-Supervised Ensemble Learning
Version: 0.3.1
Description: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://averriK.github.io/ssel/
Depends: R (>= 4.1.0)
Imports: caret, crayon, data.table, dbscan, digest, doParallel, earth, foreach, gbm, jsonlite, ranger, stats, utils
Suggests: devtools, htmlwidgets, knitr, pak, pkgdown, rcmdcheck, rmarkdown, roxygen2, rhub, testthat (>= 3.0.0), webshot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 22:10:50 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:02 UTC

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New package shinyglass with initial version 0.1.0
Package: shinyglass
Title: Liquid Glass Design Themes for 'shiny' Applications
Version: 0.1.0
Description: Drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Light and dark presets are included, with options for accent color, blur, and corner radius.
License: GPL-3
URL: https://ericrayanderson.github.io/shinyglass/, https://github.com/ericrayanderson/shinyglass
BugReports: https://github.com/ericrayanderson/shinyglass/issues
Encoding: UTF-8
Imports: bslib (>= 0.5.0), htmltools (>= 0.5.0), sass (>= 0.4.0)
Suggests: DT, ggplot2, shiny (>= 1.5.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-19 12:54:32 UTC; ericrayanderson
Author: Eric Anderson [aut, cre]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:30:10 UTC

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New package risdr with initial version 0.3.1
Package: risdr
Title: Regularised and Information-Theoretic Sufficient Dimension Reduction
Version: 0.3.1
Description: Implements covariance-stabilised sufficient dimension reduction for continuous responses with information-theoretic structural dimension selection. Supported methods include sliced inverse regression, sliced average variance estimation, directional regression, and principal Hessian directions. Sample, ridge, Oracle Approximating Shrinkage, Ledoit-Wolf, and Maximum Entropy Covariance (MEC) estimators are provided alongside prediction, resampling, simulation, and diagnostic utilities. The sufficient dimension reduction methods build on Li (1991) <doi:10.1080/01621459.1991.10475035>, Li (1992) <doi:10.1080/01621459.1992.10476258>, and Li and Wang (2007) <doi:10.1198/016214507000000536>. Covariance shrinkage follows Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4> and Chen et al. (2010) <doi:10.1109/TSP.2010.2053029>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils, MASS, Matrix
Suggests: dplyr, knitr, readr, rmarkdown, testthat (>= 3.0.0), VIM
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/ilovemaths/risdr, https://ilovemaths.github.io/risdr/
BugReports: https://github.com/ilovemaths/risdr/issues
NeedsCompilation: no
Packaged: 2026-07-19 20:33:30 UTC; DR OLOREDE
Author: Kabir Olorede [aut, cre]
Maintainer: Kabir Olorede <kabirolorede@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:02 UTC

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New package pphotspot with initial version 0.1-2
Package: pphotspot
Version: 0.1-2
Date: 2026-07-18
Title: Hotspot Detection of Point Events on a Linear Network
Encoding: UTF-8
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>
Imports: GET, parallel, sf, spatstat.geom, spatstat.Knet, spatstat.linnet, spatstat.random, stats
Suggests: R.rsp, spatstat.explore, spatstat.model, testthat
Description: Detection of hotspots of point events on a linear network as proposed by Mrkvička et al. (2025) <doi:10.2139/ssrn.5337003> using the R package 'GET', see Myllymäki and Mrkvička (2024) <doi:10.18637/jss.v111.i03>.
License: GPL-3
URL: https://github.com/myllym/pphotspot
BugReports: https://github.com/myllym/pphotspot/issues
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2026-07-18 20:13:18 UTC; marmylly
Author: Mari Myllymaeki [aut, cre] , Michal Konopa [aut], Tomas Mrkvicka [aut], Mikko Kuronen [ctb]
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2026-07-28 16:10:02 UTC

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New package MultiEFM with initial version 0.1.3
Package: MultiEFM
Title: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics
Version: 0.1.3
Date: 2026-07-19
Description: We introduce a multi-study high-dimensional factor analysis toolbox 'MultiEFM' based on the elliptical factor model framework, which learns latent heterogeneous features and accounts for cross-study variation among sources. It provides robust estimation algorithms for heterogeneous datasets, particularly tailored for multi-study RNA sequencing arrays and complex spatial multi-omics layers. The package implements highly efficient initialization strategies, identifiability constraints alignment, and computationally scalable parameter estimation paradigms.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, mvtnorm, Rcpp (>= 1.0.8.3), stats
URL: https://RRuihan-Zhang.github.io/MultiEFM/
BugReports: https://github.com/RRuihan-Zhang/MultiEFM/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Suggests: cowplot, ggplot2, knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-07-19 14:14:55 UTC; think
Author: Ruihan Zhang [aut, cre], Wei Liu [aut]
Maintainer: Ruihan Zhang <ruihanzhang6166@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:30:20 UTC

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New package muiCharts with initial version 0.1.0
Package: muiCharts
Title: 'MUI X Charts' for 'shiny' Apps and 'Quarto'
Version: 0.1.0
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: 'MUI X Charts' React chart components for data visualization for building 'shiny' applications and 'quarto' documents. Bundles the MIT-licensed community edition of the '@mui/x-charts' JavaScript library (the commercial 'Pro' tier is not included).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5)
Imports: muiMaterial (>= 0.2.1), htmltools, shiny.react (>= 0.4.0), utils
Suggests: dplyr, tidyr, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/lgnbhl/muiCharts
BugReports: https://github.com/lgnbhl/muiCharts/issues
NeedsCompilation: no
Packaged: 2026-07-19 10:30:22 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] helpers; see LICENSE.note), Mike Bostock [cph] , vendored via '@mui/x-charts-vendor'; see LICENSE.note), Meta Platforms, Inc. and affiliates [cph]
Repository: CRAN
Date/Publication: 2026-07-28 16:20:02 UTC

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New package LISTC with initial version 1.0.0
Package: LISTC
Title: Pivot-Style Statistical Tables for Large-Scale Assessment Data
Version: 1.0.0
Description: Turns assessment and survey sample data (demographics, scores, sampling weights, ability estimates with individual item response theory standard errors, replicate weights and plausible values) into fully customizable pivot-style statistical tables in which every cell carries a design-appropriate standard error. Provides weighted means, proportions above cut scores, proficiency-level percentages and quantiles; sampling variance via linearization, Woodruff (1952) <doi:10.1080/01621459.1952.10483443> intervals for quantiles, or balanced repeated replication and jackknife replicate weights including Fay's method; measurement variance via delta-method propagation of individual standard errors or Rubin (1987) <doi:10.1002/9780470316696> combination across plausible values. Imports data from 'CSV', 'Excel', 'SPSS', 'SAS', 'Stata' and item response theory software person files ('Winsteps', 'ConQuest'); a configuration-file interface serves non-programmers and automation; results ex [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
Encoding: UTF-8
Language: zh-CN
Depends: R (>= 4.1)
Imports: data.table, haven, jsonlite, openxlsx, readxl, rlang, stats, tibble, utils, yaml
Suggests: covr, knitr, readr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/weiandata/LISTC
BugReports: https://github.com/weiandata/LISTC/issues
NeedsCompilation: no
Packaged: 2026-07-18 20:11:21 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:10:17 UTC

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New package jsslintr with initial version 1.1.0-1
Package: jsslintr
Title: JSS LaTeX/BibTeX Style Checker
Version: 1.1.0-1
Description: Lints LaTeX/BibTeX manuscripts against the Journal of Statistical Software (JSS) style guide. Wraps the same Rust rule engine used by the standalone jsslint binary, the browser/WASM build, and the Python binding, exposed to R via extendr.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/kollerma/jss-style-checker, https://kollerma.github.io/jss-style-checker/
BugReports: https://github.com/kollerma/jss-style-checker/issues
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.85
Depends: R (>= 4.2)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-19 19:56:59 UTC; kollerma
Author: Manuel Koller [aut, cre]
Maintainer: Manuel Koller <kollerma@proton.me>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:11 UTC

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New package hydromeso with initial version 0.1.0
Package: hydromeso
Title: Classify Fluvial Mesohabitats from Depth and Velocity
Version: 0.1.0
Date: 2026-07-19
Description: Classifies hydraulic conditions into nominal fluvial mesohabitat categories using water depth and velocity. It implements the eight-class scheme in the preprint by Cordero and Harris <doi:10.2139/ssrn.7100727>, supports validated rectangular custom schemes, and works with tabular and spatial data through 'terra'. Outputs describe hydraulic classes and do not by themselves establish biological habitat quality or species occurrence.
License: GPL-3
URL: https://el-cordero.github.io/hydromeso/, https://github.com/el-cordero/hydromeso
BugReports: https://github.com/el-cordero/hydromeso/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: terra
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 22:33:37 UTC; ec
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:10 UTC

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New package ebaTools with initial version 0.1.0
Package: ebaTools
Title: Evidence-Based Assessment Tools for Diagnostic Test Evaluation
Version: 0.1.0
Description: Provides functions for evidence-based assessment of diagnostic tests. Includes calculation of common diagnostic accuracy statistics, Bayesian updating of probabilities, interpretation of likelihood ratios, and visualization using a Fagan nomogram.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/rmcgill777/ebaTools
BugReports: https://github.com/rmcgill777/ebaTools/issues
NeedsCompilation: no
Packaged: 2026-07-19 17:06:19 UTC; rmcgill777
Author: Ryan McGill [aut, cre]
Maintainer: Ryan McGill <rmcgill@wm.edu>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:16 UTC

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New package diffHTS with initial version 0.1.0
Package: diffHTS
Title: Differential Drug Sensitivity Analysis for Two-Condition High-Throughput Screens
Version: 0.1.0
Description: A complete workflow for large-scale, two-condition high-throughput drug screening (HTS). It compares drug sensitivity between any two experimental conditions - for example irradiated versus non-irradiated cells, cancer versus normal cell lines, or treated versus untreated samples - across many plates and experiments. The package covers the full pipeline: control-based normalisation, plate-level quality-control metrics (Z-factor, Z-prime, signal-to-background, signal-to-noise and strictly standardised mean difference), replicate-consistency checks, four-parameter logistic dose-response fitting with area under the curve (AUC) estimation, differential (delta) AUC scoring with within-plate standardisation, cut-off and sigma-based hit selection, and publication-ready heatmap, scatter and quality-control visualisations.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: tidyr, rlang, ggplot2, graphics, stats, utils
Suggests: ComplexHeatmap, circlize, ggprism, ggrepel, grid, readxl, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-18 17:37:57 UTC; wd979071
Author: Liang Tang [aut, cre]
Maintainer: Liang Tang <xphdtangliang@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:10:08 UTC

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New package circlecorR with initial version 0.1.0
Package: circlecorR
Title: Circular Correlation Wheel Plots
Version: 0.1.0
Description: Draws circular "correlation wheel" plots in R, straight from a data frame of one row per observation. Variables are arranged around a circle, grouped and colour-tiled by category, and connected by curved links whose colour maps to the correlation coefficient, computed via a thin wrapper around corr.test() from the 'psych' package. Non-significant, weak, and within-category correlations can be masked. Categories, colours, and labels are all user-configurable.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: circlize (>= 0.4.0), graphics, psych, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
URL: https://kriz98.github.io/circlecorR/, https://github.com/kriz98/circlecorR
BugReports: https://github.com/kriz98/circlecorR/issues
NeedsCompilation: no
Packaged: 2026-07-19 00:48:19 UTC; cvar706
Author: Chris Varghese [aut, cre], Armen A. Gharibans [aut]
Maintainer: Chris Varghese <chris.varghese@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-07-28 16:20:09 UTC

More information about circlecorR at CRAN
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New package cdlogit with initial version 1.0.0
Package: cdlogit
Title: Context-Dependent Discrete Choice Models
Version: 1.0.0
Description: Implements a class of context-dependent discrete choice models, including the standard random utility maximization (RUM) model, classical and generalized random regret minimization (RRM) models, the random advantage maximization (RAM) model, as well as the Emergent Value (EV) model and the contextual random utility maximization (CRUM) model, which explicitly incorporate measures of context dependence. In addition, pairwise normalization (PN) and range normalization (RN) models are supported. Both fixed-parameter and random-parameter specifications can be estimated, the latter allowing for preference heterogeneity. All models are formulated within a logit framework under the assumption of independently and identically distributed (i.i.d.) Gumbel error terms. The implemented methods are based on Tversky and Simonson (1993) <doi:10.1287/mnsc.39.10.1179>, Chorus et al. (2014) <doi:10.1016/j.jbusres.2014.02.010>, Rooderkerk et al. (2011) <doi:10.1509/jmkr.48.4.767>, Guevar [...truncated...]
Author: Yuan Xi [aut, cre], Michel Meulders [ctb], Martina Vandebroek [ctb]
Maintainer: Yuan Xi <yuan.xi@kuleuven.be>
License: GPL (>= 3)
Encoding: UTF-8
Imports: randtoolbox
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-19 14:27:58 UTC; u0150119
Repository: CRAN
Date/Publication: 2026-07-28 16:30:15 UTC

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New package ausOpenData with initial version 0.1.0
Package: ausOpenData
Title: A Lightweight Interface to the Austin, Texas Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Austin, Texas Open Data platform <https://data.austintexas.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, tibble, janitor, curl, dplyr, rlang
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://martinezc1.github.io/ausOpenData/, https://github.com/martinezc1/ausOpenData
BugReports: https://github.com/martinezc1/ausOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-19 06:10:55 UTC; christianmartinez
Author: Christian Martinez [aut, cre] , Emma Tupone [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:20:15 UTC

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New package agenticr with initial version 0.3.3
Package: agenticr
Title: AI-Powered R Console Assistant
Version: 0.3.3
Description: An AI-powered assistant for the R console. Type natural language or incorrect R code directly in the console, and 'agenticr' routes it to an AI agent for processing. Focused on statistical analysis, data transformation, and visualization, <https://github.com/panlanfeng/AgenticR>.
License: MIT + file LICENSE
SystemRequirements: ripgrep (optional, for fast file search; install with 'winget install BurntSushi.ripgrep.MSVC' on Windows or see https://github.com/BurntSushi/ripgrep)
Encoding: UTF-8
Imports: httr, jsonlite, cli, utils, yaml, processx
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-19 15:08:19 UTC; lf
Author: Lanfeng Pan [aut, cre]
Maintainer: Lanfeng Pan <panlanfeng@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:21 UTC

More information about agenticr at CRAN
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Package unexcel updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-08

Title: Revert Spreadsheet Date Auto-Conversion to the Numbers Typed
Description: Spreadsheets silently turn entries such as '30.3' into dates, so the imported data carry date serials instead of the numbers that were typed. Reading the workbook directly recovers those numbers without guesswork: an 'xlsx' file states its own date system, and records which cells are formatted as dates and in which field order, so the values to repair are identified from the file rather than inferred from their magnitude. Functions are also provided for data already imported, where that evidence is no longer available, using conservative and configurable detection.
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>

Diff between unexcel versions 0.1.0 dated 2025-10-08 and 0.2.0 dated 2026-07-28

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Package rchime updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-23

Title: Detect and Remove Chimeras from Amplicon Sequence Analysis Data
Description: Detect and remove chimeras from your amplicon sequence analysis using reference-based or de novo approaches. The 'rchime' package implements the 'VSEARCH' algorithms described in Rognes et al. (2016) <doi:10.7717/peerj.2584>. 'VSEARCH' builds on the work of Edgar,R.C. et al. (2011) <doi:10.1093/bioinformatics/btr381>.
Author: Sarah Westcott [aut] , Pat Schloss [cph, cre] , Torbjorn Rognes [cph], Frederic Mahe [cph], Tomas Flouri [cph], Christopher Quince [cph], Ben Nichols [cph]
Maintainer: Pat Schloss <pschloss@umich.edu>

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Package plavaan updated to version 0.0.2 with previous version 0.0.1 dated 2025-12-30

Title: Penalized Estimation for Latent Variable Models with 'lavaan'
Description: Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.
Author: Hok Chio Lai [aut, cre]
Maintainer: Hok Chio (Mark) Lai <marklhc@gmail.com>

Diff between plavaan versions 0.0.1 dated 2025-12-30 and 0.0.2 dated 2026-07-28

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New package pgt with initial version 0.5.0
Package: pgt
Title: Data Envelopment Analysis for Pollution-Generating Technologies
Version: 0.5.0
Description: Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability model of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> and its factorially determined multi-output representation, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with an enforced materials-balance identity, a pre-estimation feasibility audit, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling inference. Estimators are solved with 'lpSolveAPI'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils, lpSolveAPI
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, frontier
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/iik1/pgt
BugReports: https://github.com/iik1/pgt/issues
NeedsCompilation: no
Packaged: 2026-07-18 10:22:12 UTC; s14454
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>
Repository: CRAN
Date/Publication: 2026-07-28 15:50:02 UTC

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Package lcsm updated to version 0.3.3 with previous version 0.3.2 dated 2023-02-25

Title: Univariate and Bivariate Latent Change Score Modelling
Description: Helper functions to implement univariate and bivariate latent change score models in R using the 'lavaan' package. For details about Latent Change Score Modeling (LCSM) see McArdle (2009) <doi:10.1146/annurev.psych.60.110707.163612> and Grimm, An, McArdle, Zonderman and Resnick (2012) <doi:10.1080/10705511.2012.659627>. The package automatically generates 'lavaan' syntax for different model specifications and varying timepoints. The 'lavaan' syntax generated by this package can be returned and further specifications can be added manually. Longitudinal plots as well as simplified path diagrams can be created to visualise data and model specifications. Estimated model parameters and fit statistics can be extracted as data frames. Data for different univariate and bivariate LCSM can be simulated by specifying estimates for model parameters to explore their effects. This package combines the strengths of other R packages like 'lavaan', 'broom', and 'semPlot' by generating 'lava [...truncated...]
Author: Milan Wiedemann [aut, cre] , Graham M Thew [ctb] , Urska Kosir [ctb] , Anke Ehlers [ths] , Mental Health Research UK [fnd]
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>

Diff between lcsm versions 0.3.2 dated 2023-02-25 and 0.3.3 dated 2026-07-28

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More information about lcsm at CRAN
Permanent link

New package fluxCore with initial version 2.0.0
Package: fluxCore
Title: Probabilistic Simulation of Single-Entity Systems in Irregular Time
Version: 2.0.0
Author: Jarrod Dalton [aut, cre]
Maintainer: Jarrod Dalton <daltonj@ccf.org>
Description: A foundation for probabilistic simulation of single-entity systems in which events occur at irregular times and each event updates only a small, sparse subset of the entity's state. Models are assembled from a declared schema and a 'ModelBundle' of callback functions (event proposal, state transition, stopping rule) and run through a single validated entry point, 'load_model()'. Supports competing event processes, schema-declared decision points with user-supplied policies, typed parameter draws for representing uncertainty, and optional trajectory recording for auditing simulated decisions. Designed to be domain agnostic: this package contains no model of any particular system, only the scaffolding for building one.
License: LGPL-3
Encoding: UTF-8
Imports: R6
Suggests: future, future.apply, jsonlite, parallel, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-17 23:10:01 UTC; daltonj
Repository: CRAN
Date/Publication: 2026-07-28 16:00:08 UTC

More information about fluxCore at CRAN
Permanent link

Package wid updated to version 0.0.3 with previous version 0.0.2 dated 2026-07-08

Title: Download Data from the World Inequality Database
Description: Download data from the online World Inequality Database directly into R. Data are retrieved from WID.world's online data service. The World Inequality Database is an extensive source on the historical evolution of the distribution of income and wealth both within and between countries. It relies on the combined effort of an international network of over a hundred researchers covering more than seventy countries from all continents.
Author: Thomas Blanchet [aut], Ignacio Flores [cre]
Maintainer: Ignacio Flores <stats@wid.world>

Diff between wid versions 0.0.2 dated 2026-07-08 and 0.0.3 dated 2026-07-28

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More information about wid at CRAN
Permanent link

Package stbl updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-04

Title: Stabilize Function Arguments
Description: A set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

Diff between stbl versions 0.3.0 dated 2026-04-04 and 0.4.0 dated 2026-07-28

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More information about stbl at CRAN
Permanent link

New package possum with initial version 0.1.0
Package: possum
Title: Surgical Risk Prediction with the POSSUM Score Family
Version: 0.1.0
Description: Computes the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM), its Portsmouth modification (P-POSSUM), and the colorectal (CR-POSSUM), vascular (V-POSSUM) and ruptured aortic aneurysm (RAAA-POSSUM) variants, risk-adjustment systems used in surgical audit. Functions map physiological and operative variables to their component scores and return the predicted probabilities of morbidity and mortality from the published logistic equations. The coefficients follow Copeland and others (1991) <doi:10.1002/bjs.1800780327> for POSSUM, Prytherch and others (1998) <doi:10.1046/j.1365-2168.1998.00840.x> for P-POSSUM, Tekkis and others (2004) <doi:10.1002/bjs.4430> for the colorectal variant (CR-POSSUM), and Neary and others (2003) <doi:10.1002/bjs.4041> for the vascular variant (V-POSSUM). The package is intended for audit and research; it is not a validated medical device and must not be used as the sole basis for clinical d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/possum
BugReports: https://github.com/chrislongros/possum/issues
Imports: stats
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-18 10:23:31 UTC; chris
Author: Christos Longros [aut, cre] , Daniel Enrique Chourio Barboza [aut]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 14:30:07 UTC

More information about possum at CRAN
Permanent link

New package PiChange with initial version 0.0.6
Package: PiChange
Title: Pi-Change: Change Point Detection with Prior-Informed Penalties
Version: 0.0.6
Description: PI-Change is a prior-informed multiple change point detection method that incorporates prespecified plausible change point locations through a time-varying penalized likelihood. The method extends multiple change point detection beyond purely data-driven segmentation by allowing external knowledge about plausible change point locations to enter the objective function; see Jacobs and Chen (2026) <doi:10.48550/arXiv.2605.01003>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: grid, ggplot2, Rcpp (>= 1.0.10), rlang, stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 20:13:09 UTC; schen3
Author: Jonathon Jacobs [aut, cph], Shanshan Chen [aut, cre, cph]
Maintainer: Shanshan Chen <schen3@vcu.edu>
Repository: CRAN
Date/Publication: 2026-07-28 15:00:02 UTC

More information about PiChange at CRAN
Permanent link

Package GenoTriplo updated to version 2.2.1 with previous version 1.1.3 dated 2025-03-25

Title: Genotyping Triploids/Tetraploids (or Diploids) from Luminescence Data
Description: Genotyping of triploid individuals from luminescence data (marker probeset A and B). Works also for diploids and tetraploids. Three main functions: Create_Dataset_from_file() to build dataset ; Clustering_parallele_from_dir() that regroups individuals with a same genotype based on proximity and Genotyping_parallele_from_dir() that assigns a genotype to each cluster. For Shiny interface use: launch_GenoShiny().
Author: Julien Roche [aut, cre], Florence Phocas [aut], Mathieu Besson [aut], Pierre Patrice [aut], Marc Vandeputte [aut], Francois Allal [aut], Pierrick Haffray [aut]
Maintainer: Julien Roche <julien.roche@inrae.fr>

Diff between GenoTriplo versions 1.1.3 dated 2025-03-25 and 2.2.1 dated 2026-07-28

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Package DWBmodelUN readmission to version 2.0.1 with previous version 1.0.0 dated 2020-08-18

Title: Dynamic Water Balance a Hydrological Model
Description: A tool for hydrologic modelling using the Budyko framework and the Dynamic Water Balance model with Dynamical Dimension Search algorithm to calibrate the model and analyze the outputs from interactive graphics. It allows to calculate the water availability in basins and also some water fluxes represented by the structure of the model. See Zhang, L., N., Potter, K., Hickel, Y., Zhang, Q., Shao (2008) <DOI:10.1016/j.jhydrol.2008.07.021> "Water balance modeling over variable time scales based on the Budyko framework - Model development and testing", Journal of Hydrology, 360, 117–131. See Tolson, B., C., Shoemaker (2007) <DOI:10.1029/2005WR004723> "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration", Water Resources Research, 43, 1–16.
Author: Nicolas Duque [aut] , Carolina Vega [aut] , Jeffer Canon [aut], Pedro Arboleda [aut] , David Zamora [aut, cre] , Camila Garcia [cot]
Maintainer: David Zamora <dazamoraa@unal.edu.co>

This is a re-admission after prior archival of version 1.0.0 dated 2020-08-18

Diff between DWBmodelUN versions 1.0.0 dated 2020-08-18 and 2.0.1 dated 2026-07-28

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Package vartest updated to version 1.6 with previous version 1.5 dated 2026-04-22

Title: Tests for Variance Homogeneity
Description: Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package testassay updated to version 0.1.3 with previous version 0.1.1 dated 2020-06-03

Title: A Hypothesis Testing Framework for Validating an Assay for Precision
Description: A common way of validating a biological assay for is through a procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of the coefficient of variation (CV) are less than some prespecified level, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We provide tools to convert such a procedure into a set of m hypothesis tests. This reframing motivates the m:n:q procedure, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an ``effective standard deviation interval'' of log(y) plus or minus r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Furth [...truncated...]
Author: Michael C Sachs [aut, cre], Michael P Fay [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package smfa updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-28

Title: Stochastic Metafrontier Analysis
Description: Implements stochastic metafrontier analysis for productivity and performance benchmarking across firms operating under different technologies. Contains routines for the deterministic metafrontier envelope of O'Donnell et al. (2008) <doi:10.1007/s00181-007-0119-4> via linear and quadratic programming, and the stochastic metafrontier of Huang et al. (2014) <doi:10.1007/s11123-014-0402-2>. Also supports latent class stochastic metafrontier analysis and sample selection correction stochastic metafrontier models. Depends on the 'sfaR' package by Dakpo et al. (2023) <https://CRAN.R-project.org/package=sfaR>.
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>

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Package BsplineQuantReg updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-24

Title: 'Constrained Quantile Regression with B-Splines'
Description: Quantile regression with B-splines under shape constraints. The initial version with cubic splines is now augmented with splines of degree 1 to 4. Constraints for degrees 3 (monotone) and 4 (monotone and convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial, while other constraints applied at the knots are added as linear problems. The method for cubic splines is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. Other formulations are simple consequences of the other given references. This R implementation is intended for demonstration and prototyping. All B-spline and polynomial functions have been rewritten for consistency. An equivalent Python package is available at <https://pypi.org/project/BsplineQuantRegpy/>.
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

Diff between BsplineQuantReg versions 0.2.1 dated 2026-07-24 and 0.2.2 dated 2026-07-28

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Package Bayesrel updated to version 0.7.9 with previous version 0.7.8 dated 2025-03-24

Title: Bayesian Reliability Estimation
Description: Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>). The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model, (2) the second-order factor model, (3) the bi-factor model, (4) the correlated factor model ('Lee', 2007 [...truncated...]
Author: Julius M. Pfadt [aut, cre] , Don van den Bergh [aut] , Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>

Diff between Bayesrel versions 0.7.8 dated 2025-03-24 and 0.7.9 dated 2026-07-28

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Package treeSS updated to version 0.2.6 with previous version 0.2.5 dated 2026-07-11

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

Diff between treeSS versions 0.2.5 dated 2026-07-11 and 0.2.6 dated 2026-07-28

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Package GCCfactor updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-27

Title: GCC Estimation of the Multilevel Factor Model
Description: Provides methods for model selection, estimation, inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2025) <doi:10.2139/ssrn.4295429>.
Author: Rui Lin [aut, cre], Yongcheol Shin [aut]
Maintainer: Rui Lin <ruilin1081@gmail.com>

Diff between GCCfactor versions 1.2.0 dated 2026-07-27 and 1.2.1 dated 2026-07-28

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Package covtracer updated to version 0.0.3 with previous version 0.0.2 dated 2026-01-30

Title: Contextualizing Tests
Description: Dissects a package environment or 'covr' coverage object in order to cross reference tested code with the lines that are evaluated, as well as linking those evaluated lines to the documentation that they are described within. Connecting these three pieces of information provides a mechanism of linking tests to documented behaviors.
Author: Doug Kelkhoff [aut] , Szymon Maksymiuk [aut, cre] , Andrew McNeil [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package camtrapR updated to version 3.1.0 with previous version 3.0.4 dated 2026-04-30

Title: Camera Trap Data Management and Analysis Framework
Description: Management and analysis of camera trap wildlife data through an integrated workflow. Provides functions for image/video organization and metadata extraction, species/individual identification. Creates detection histories for occupancy and spatial capture-recapture analyses, with support for multi-season studies. Includes tools for fitting community occupancy models in JAGS and NIMBLE, and an interactive dashboard for survey data visualization and analysis. Features visualization of species distributions and activity patterns, plus export capabilities for GIS and reports. Emphasizes automation and reproducibility while maintaining flexibility for different study designs.
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb] , An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package assemblykor updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-15

Title: Korean National Assembly Data for Political Science Education
Description: Provides ready-to-use datasets from the Korean National Assembly (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in political science. Includes legislator metadata, bill proposals, roll call votes, asset declarations, and policy seminar records. Designed as a Korean politics counterpart to packages like 'palmerpenguins', enabling students to practice regression, panel data analysis, text analysis, and network analysis with real legislative data. Roll call vote data and spatial voting models are described in Poole and Rosenthal (1985) <doi:10.2307/2111172>. Legislative data is sourced from the Korean National Assembly Open API.
Author: Kyusik Yang [aut, cre]
Maintainer: Kyusik Yang <kyusik.yang@nyu.edu>

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Package wordvector updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-06

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package tmbstan updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-20

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package PsyToolkit updated to version 1.1.6 with previous version 1.1.4 dated 2026-03-07

Title: Analysis Tools for 'PsyToolkit'
Description: Analyses and reports questionnaire and experiment data exported from 'PsyToolkit'. The package reads downloaded study folders, parses questionnaire structure, optionally merges demographic exports from CloudResearch or Prolific, and produces summary overviews of responses and completion times. It also provides helper functions to extract and aggregate experiment measures and survey variables, and to export results to spreadsheet files for further analysis and archiving. See Stoet (2017) <doi:10.1177/0098628316677643> for the 'PsyToolkit' platform.
Author: Gijsbert Stoet [cre, aut]
Maintainer: Gijsbert Stoet <stoet@gmx.co.uk>

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Package hexbin updated to version 1.28.6 with previous version 1.28.5 dated 2024-11-13

Title: Hexagonal Binning Routines
Description: Binning and plotting functions for hexagonal bins.
Author: Dan Carr [aut], Nicholas Lewin-Koh [aut], Martin Maechler [aut], Deepayan Sarkar [aut], Edzer Pebesma [cre]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package flametree updated to version 0.2.0 with previous version 0.1.3 dated 2021-11-29

Title: Generate Random Tree-Like Images
Description: A generative art system for producing tree-like images using a stochastic branching process to create the structures. The package includes tools for generating the data structures and visualising them in a variety of styles.
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package distilleR updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-23

Title: A Wrap Around the 'DistillerSR' APIs
Description: Interface to 'DistillerSR' APIs. See <https://apidocs.evidencepartners.com/> for more details.
Author: Lorenzo Copelli [aut] , Fulvio Barizzone [aut] , Dayana Stephanie Buzle [aut] , Rafael Vieira [aut] , Luca Belmonte [aut, cre]
Maintainer: Luca Belmonte <luca.belmonte@efsa.europa.eu>

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Package wilson readmission to version 2.4.4 with previous version 2.4.2 dated 2021-04-19

Title: Web-Based Interactive Omics Visualization
Description: Tool-set of modules for creating web-based applications that use plot based strategies to visualize and analyze multi-omics data. This package utilizes the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for interactive plotting.
Author: Hendrik Schultheis [aut, cre], Jens Preussner [aut], Looso Mario [aut]
Maintainer: Hendrik Schultheis <hendrik.schultheis@mpi-bn.mpg.de>

This is a re-admission after prior archival of version 2.4.2 dated 2021-04-19

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More information about wilson at CRAN
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Package SteadyStateBVAR updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-24

Title: Bayesian Vector Autoregressions with Steady-State Priors
Description: Provides estimation of Bayesian vector autoregression (BVAR) models with steady-state priors via 'Stan', along with functions for unconditional and conditional forecasting, as well as impulse response analysis. For details on the steady-state BVAR model see Villani (2009) <doi:10.1002/jae.1065>.
Author: Mark Becker [aut, cre, cph]
Maintainer: Mark Becker <mark.jw.becker@gmail.com>

Diff between SteadyStateBVAR versions 0.1.0 dated 2026-07-24 and 0.1.1 dated 2026-07-28

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 R/bvar.R                                                                |    9 
 R/forecast.R                                                            |   41 
 R/priors.R                                                              |    4 
 README.md                                                               |   22 
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Package smatr updated to version 3.5-1 with previous version 3.4-8 dated 2018-03-18

Title: (Standardised) Major Axis Estimation and Testing Routines
Description: Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.
Author: David Warton [aut], Remko Duursma [aut], Daniel Falster [aut, cre] , Sara Taskinen [aut], Fonti Kar [aut]
Maintainer: Daniel Falster <daniel.falster@unsw.edu.au>

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Package rxode2 updated to version 5.1.5 with previous version 5.1.4 dated 2026-07-20

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The vendored 'SUNDIALS' 'CVODE' sources and headers are released under the BSD-3-Clause license. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Aaron Collier [ctb] , Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Ashley Crawford [ctb] , Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], Cody J. Balos [ctb] , Dan Shumaker [ctb] , Dan [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package RcppDate updated to version 0.0.7 with previous version 0.0.6 dated 2025-05-29

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDate versions 0.0.6 dated 2025-05-29 and 0.0.7 dated 2026-07-28

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Package MAGMA.R updated to version 1.1 with previous version 1.0.4 dated 2025-05-26

Title: MAny-Group MAtching
Description: Balancing quasi-experimental field research for effects of covariates is fundamental for drawing causal inference. (Propensity Score) Matching deals with this issue but current techniques are restricted to binary treatment variables. Moreover, they provide several solutions without providing a comprehensive framework on choosing the best model. The MAGMA R-package addresses these restrictions by offering nearest neighbor matching based on Propensity Scores or the Mahalanobis Distance for two to four groups. It also includes the option to match data of a 2x2 design. In addition, MAGMA includes a framework for evaluating the post-matching balance. The package includes functions for the matching process and matching reporting. We provide a General tutorial on MAGMA and a tutorial for Mahalanobis Distance Matching as vignettes. More information on MAGMA can be found in Feuchter, M. D., Urban, J., Scherrer V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.
Author: Julian Urban [aut, cre], Markus D. Feuchter [aut], Vsevolod Scherrer [aut], Moritz L. Breit [aut], Franzis Preckel [aut]
Maintainer: Julian Urban <julian.urban@uni-potsdam.de>

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Package firmmatchr updated to version 0.2.0 with previous version 0.1.3 dated 2026-03-06

Title: Robust Probabilistic Matching of Company Names
Description: A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. Name normalization covers German, French, Italian and English legal forms and conventions, which suits multilingual registers such as the Swiss one. Normalization discards detail, so several dictionary entries can collapse onto one string; these groups are matched once and a crosswalk back to every original entry is retained. References: Beniamino Green (2025) <https://github.com/beniaminogreen/zoomerjoin>; <https://www.sqlite.org/fts5.html>.
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>

Diff between firmmatchr versions 0.1.3 dated 2026-03-06 and 0.2.0 dated 2026-07-28

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Package EMCluster updated to version 0.2-18 with previous version 0.2-17 dated 2025-01-08

Title: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Description: EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package dbrobust updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-23

Title: Robust Distance-Based Visualization and Analysis of Mixed-Type Data
Description: Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>, Boj et al. (2026) <doi:10.1007/s10260-026-00860-1>, and Grané et al. (2026) <doi:10.1007/s10182-026-00565-6>.
Author: Marcos Alvarez [aut], Eva Boj [aut, cre], Aurea Grane [aut]
Maintainer: Eva Boj <evaboj@ub.edu>

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Package astronomR updated to version 0.3.0 with previous version 0.1.0 dated 2026-05-27

Title: Cosmic Insights: Statistical Frameworks for Astronomers
Description: A comprehensive toolkit for astronomical and cosmological computations. Provides functions for angular coordinate conversions (degrees, hours-minutes-seconds, degrees-minutes-seconds, and radians), access to fundamental physical constants, queries to the Gaia Archive TAP (Table Access Protocol) service, cosmological distance calculations, early-universe thermal physics including photon density, 'Saha' equation solutions, and a full thermal-cosmology module covering the Hubble rate in the radiation-dominated era, effective relativistic degrees of freedom, entropy density, equilibrium yields, the Boltzmann relic-abundance ('pebble') equation for WIMP freeze-out, the freeze-out temperature solver, and the Peebles equation for hydrogen recombination. Also includes the Drake equation for estimating the number of communicating extraterrestrial civilisations in the Milky Way.
Author: Samrit Pramanik [aut, cre] , Kazi Abu Rousan [aut]
Maintainer: Samrit Pramanik <samrit.2442@gmail.com>

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Package seeclickfixr (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-12-07 1.1.0
2015-11-13 1.0.0

Permanent link
Package glinvci (with last version 1.2.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-04-18 1.2.4

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Package preregr (with last version 0.2.9) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-05-05 0.2.9
2023-03-05 0.2.8
2022-08-22 0.2.5
2022-01-25 0.2.1
2022-01-12 0.2.0
2021-10-13 0.1.9
2021-09-30 0.1.3

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Package flan (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-08-22 1.0
2021-06-07 0.9
2020-04-29 0.8

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Package NSR (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-10-16 0.1.0

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Package Rduckhts updated to version 1.5.1-0.1.3 with previous version 1.5.0-0.1.0 dated 2026-07-24

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Brent Pedersen [cph] , Giulio Genovese [cph] , Nicola Asuni [cph] , Devon Ryan [cph] , Duc [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package npwbs updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-02

Title: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
Description: Implements nonparametric multiple change-point detection for univariate sequences using Wild Binary Segmentation, as described in Ross (2026) "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <doi:10.48550/arXiv.2107.01742>. The package provides Mann--Whitney, Mood, Lepage, Cramér--von Mises, and modified Baumgartner rank-based statistics, together with method-specific thresholds for controlling the probability of incorrectly detecting a change point in a homogeneous sequence.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>

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Package liureg updated to version 1.1.3 with previous version 1.1.2 dated 2018-04-08

Title: Liu Regression with Liu Biasing Parameters and Statistics
Description: Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) \doi{10.1080/03610929508831585} ii. Druilhet and Mom (2008) \doi{10.1016/j.jmva.2006.06.011} iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) \doi{10.1080/03610929308831027} v. Liu (2001) \doi{10.1016/j.jspi.2010.05.030}.
Author: Imdad Ullah Muhammad [aut, cre] , Aslam Muhammad [aut, ctb]
Maintainer: Imdad Ullah Muhammad <mimdadasad@gmail.com>

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Package inlabru updated to version 2.15.0 with previous version 2.14.1 dated 2026-05-01

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modelling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modelling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Andy Seaton [ctb] , Man Ho Suen [ctb, cph] , Pierre Roudier [ctb, cph] , Tim Meehan [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between inlabru versions 2.14.1 dated 2026-05-01 and 2.15.0 dated 2026-07-28

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Package GPArotation updated to version 2026.7-1 with previous version 2026.6-1 dated 2026-06-18

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package emstreeR updated to version 3.2.0 with previous version 3.1.3 dated 2025-12-17

Title: Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees
Description: Fast and easy computation of Euclidean Minimum Spanning Trees (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>), which is theoretically and empirically the fastest algorithm for computing an EMST. This package also provides functions and an S3 method for readily visualizing Minimum Spanning Trees (MST) using either the style of the 'base', 'scatterplot3d', or 'ggplot2' libraries; and functions to export the MST output to shapefiles.
Author: Allan Quadros [aut, cre], Duncan Garmonsway [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package CHOIRBM updated to version 0.0.3 with previous version 0.0.2 dated 2021-02-15

Title: Plots the CHOIR Body Map
Description: Collection of utility functions for visualizing body map data collected with the Collaborative Health Outcomes Information Registry.
Author: Eric Cramer [aut, cre] , Stanford University School of Medicine [cph, fnd]
Maintainer: Eric Cramer <dev.emc503@gmail.com>

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Package ameras updated to version 0.5.2 with previous version 0.5.1 dated 2026-07-16

Title: Analyze Multiple Exposure Realizations in Association Studies
Description: Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 <doi:10.1667/RR13729.1>) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 <doi:10.1201/9781420010138>), extended regression calibration (Little et al. 2023 <doi:10.1038/s41598-023-42283-y>), Monte Carlo maximum likelihood (Stayner et al. 2007 <doi:10.1667/RR0677.1>), frequentist model averaging (Kwon et al. 2023 <doi:10.1371/journal.pone.0290498>), and Bayesian model averaging (Kwon et al. 2016 <doi:10.1002/sim.6635>). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.
Author: Sander Roberti [aut, cre] , William Wheeler [aut], Deukwoo Kwon [aut] , Ruth Pfeiffer [ctb] , NCI [cph, fnd]
Maintainer: Sander Roberti <statspackages@sanderroberti.nl>

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Package spatstat.model updated to version 3.7-2 with previous version 3.7-1 dated 2026-05-29

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package hdnom updated to version 6.2.1 with previous version 6.2.0 dated 2026-05-12

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb] , Sergej Potapov [ctb] , Werner Adler [ctb] , Matthias Schmid [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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Package CustomDerivative updated to version 0.2.0 with previous version 0.1.1 dated 2023-09-30

Title: Extensible Derivative Pricing and Risk Analytics
Description: Tools for pricing and analysing financial derivatives under the classical lognormal diffusion model and geometric Brownian motion assumptions. The package provides analytical European option prices, Monte Carlo pricing with antithetic and control variates, confidence intervals, finite-difference Greeks, and path simulation for path-dependent payoffs. The simulation interfaces accept user-defined payoff functions, enabling transparent construction of custom contracts while reporting numerical uncertainty.
Author: Amit Kumar Jha [aut, cre, cph]
Maintainer: Amit Kumar Jha <jha.8@iitj.ac.in>

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Package mRpostman updated to version 1.4.0 with previous version 1.2.2 dated 2026-07-11

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full functionality of the IMAP4rev1 protocol (RFC 3501), allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package groupedHyperframe updated to version 0.4.4 with previous version 0.4.3 dated 2026-06-21

Title: Grouped Hyper Data Frame
Description: To aggregate a hyper data frame, defined in the package 'spatstat.geom', according to a grouping structure. To facilitate downstream analysis based on a "grouped" hyper data frame. The author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.4.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package gets updated to version 0.40 with previous version 0.38 dated 2024-07-14

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Author: Genaro Sucarrat [aut, cre] , Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package rim (with last version 0.8.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-07-18 0.8.1

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Package inti updated to version 0.7.2 with previous version 0.7.1 dated 2026-06-22

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and scientific writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Yoel Diaz-Saucedo [aut] , Maria Belen Kistner [ctb] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package boinet updated to version 1.6.0 with previous version 1.5.0 dated 2025-10-26

Title: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Description: Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
Author: Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>

Diff between boinet versions 1.5.0 dated 2025-10-26 and 1.6.0 dated 2026-07-28

 DESCRIPTION                              |    6 
 MD5                                      |   18 
 NEWS.md                                  |    5 
 R/boinet.R                               |    4 
 R/gboinet.R                              |    4 
 R/tite.boinet.R                          |    4 
 R/tite.gboinet.R                         |    4 
 inst/doc/gt_integration_vignette.html    |  799 +++++++++++++++----------------
 inst/doc/quarto_workflow_vignette.html   |  231 ++++----
 inst/doc/result_formatting_vignette.html |    4 
 10 files changed, 543 insertions(+), 536 deletions(-)

More information about boinet at CRAN
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