Thu, 08 Jan 2026

Package rworkflows updated to version 1.0.8 with previous version 1.0.6 dated 2025-01-23

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut, cre] , Alan Murphy [aut, ctb] , Hiranyamaya Dash [ctb] , Nathan Skene [aut]
Maintainer: Brian Schilder <brian_schilder@alumni.brown.edu>

Diff between rworkflows versions 1.0.6 dated 2025-01-23 and 1.0.8 dated 2026-01-08

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Package DedooseR updated to version 2.0.0.2 with previous version 2.0.0.1 dated 2026-01-07

Title: Monitoring and Analyzing Dedoose Qualitative Data Exports
Description: Streamlines analysis of qualitative data exported from 'Dedoose' <https://www.dedoose.com>. Supports monitoring thematic saturation, calculating code frequencies, organizing excerpts, generating dynamic codebooks, and producing code network maps within 'R'.
Author: Abiraahmi Shankar [aut, cre] , Catalina Canizares [aut] , Francisco Cardozo [aut] , Sabrina Stockmans [aut], Pamela Morris-Perez [aut]
Maintainer: Abiraahmi Shankar <abiraahmi.shankar@nyu.edu>

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Package CurricularComplexity updated to version 1.0.1 with previous version 1.0 dated 2025-11-04

Title: Toolkit for Analyzing Curricular Complexity
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.
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

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Package chooseGCM updated to version 1.3 with previous version 1.2 dated 2025-08-23

Title: Selecting General Circulation Models for Species Distribution Modeling
Description: Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.
Author: Dayani Bailly [aut] , Reginaldo Re [aut] , Marcos R. Lima [aut] , Luiz Esser [aut, cre, cph]
Maintainer: Luiz Esser <luizesser@gmail.com>

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Package avesperu updated to version 0.0.8 with previous version 0.0.6 dated 2025-07-05

Title: Access to the List of Birds Species of Peru
Description: Allows access to the data found in the species list featured in the renowned 'List of the Birds of Peru' Plenge, M. A. (2023) <https://sites.google.com/site/boletinunop/checklist>. This publication stands as one of Peru's most comprehensive reviews of bird diversity. The dataset incorporates detailed species accounts and has been meticulously structured for effortless utilization within the R environment.
Author: Paul E. Santos Andrade [aut, cre]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

Diff between avesperu versions 0.0.6 dated 2025-07-05 and 0.0.8 dated 2026-01-08

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Package secrdesign updated to version 2.10.1 with previous version 2.10.0 dated 2025-06-13

Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford [aut, cre] , Ian Durbach [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package reptiledb.data updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2025-07-05

Title: Reptile Database Data
Description: Provides easy access to 'The Reptile Database', a comprehensive catalogue of all living reptile species and their classification. This package includes taxonomic data for over 10,000 reptile species, approximately 2,800 of which are subspecies, covering all extant reptiles. The dataset features taxonomic names, synonyms, distribution data, type specimens, and literature references, making it ready for research and analysis. Data is sourced from 'The Reptile Database' <http://www.reptile-database.org/>.
Author: Paul Efren Santos Andrade [aut, cre]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>

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Package ProAE updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-21

Title: PRO-CTCAE Scoring, Analysis, and Graphical Tools
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and other PRO measurements.
Author: Blake Langlais [aut], Brie Noble [ctb, cre], Mia Truman [ctb], Molly Voss [ctb], Amylou Dueck [aut]
Maintainer: Brie Noble <noble.brie@mayo.edu>

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Package MicrobiomeStat updated to version 1.3 with previous version 1.2 dated 2024-04-01

Title: Statistical Methods for Microbiome Compositional Data
Description: A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects. Includes the LinDA method for differential abundance analysis (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>), the BMDD (Bimodal Dirichlet Distribution) method for accurate modeling and imputation of zero-inflated microbiome sequencing data (Zhou et al. (2025)<doi:10.1371/journal.pcbi.1013124>) and compositional sparse CCA methods for microbiome multi-omics data integration (Deng et al. (2024) <doi: 10.3389/fgene.2024.1489694>).
Author: Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb], Linsui Deng [ctb]
Maintainer: Jun Chen <chen.jun2@mayo.edu>

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Package ldmppr updated to version 1.1.0 with previous version 1.0.4 dated 2025-02-24

Title: Estimate and Simulate from Location Dependent Marked Point Processes
Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette.
Author: Lane Drew [aut, cre, cph] , Andee Kaplan [aut]
Maintainer: Lane Drew <lanetdrew@gmail.com>

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Package deepgp updated to version 1.2.0 with previous version 1.1.3 dated 2024-08-19

Title: Bayesian Deep Gaussian Processes using MCMC
Description: Performs Bayesian posterior inference for deep Gaussian processes following Sauer, Gramacy, and Higdon (2023, <doi:10.48550/arXiv.2012.08015>). See Sauer (2023, <http://hdl.handle.net/10919/114845>) for comprehensive methodological details and <https://bitbucket.org/gramacylab/deepgp-ex/> for a variety of coding examples. Models are trained through MCMC including elliptical slice sampling of latent Gaussian layers and Metropolis-Hastings sampling of kernel hyperparameters. Gradient-enhancement and gradient predictions are offered following Booth (2025, <doi:10.48550/arXiv.2512.18066>). Vecchia approximation for faster computation is implemented following Sauer, Cooper, and Gramacy (2023, <doi:10.48550/arXiv.2204.02904>). Optional monotonic warpings are implemented following Barnett et al. (2025, <doi:10.48550/arXiv.2408.01540>). Downstream tasks include sequential design through active learning Cohn/integrated mean squared error (ALC/IMSE; Sauer, G [...truncated...]
Author: Annie S. Booth [aut, cre]
Maintainer: Annie S. Booth <annie_booth@vt.edu>

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Package colleyRstats updated to version 0.0.2 with previous version 0.0.1 dated 2025-12-19

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package WayFindR updated to version 0.7.0 with previous version 0.5.0 dated 2025-11-05

Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition).
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package dbparser updated to version 2.2.1 with previous version 2.0.3 dated 2024-04-20

Title: Drugs Databases Parser
Description: This tool is for parsing public drug databases such as 'DrugBank' XML database <https://go.drugbank.com/>. The parsed data are then returned in a proper 'R' object called 'dvobject'.
Author: Mohammed Ali [aut, cre], Ali Ezzat [aut], Hao Zhu [rev], Emma Mendelsohn [rev]
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>

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Package caretSDM updated to version 1.2.5 with previous version 1.2.3 dated 2025-11-06

Title: Build Species Distribution Modeling using 'caret'
Description: Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.
Author: Dayani Bailly [aut] , Edivando Couto [aut] , Jose Hilario Delconte Ferreira [aut] , Marcos R. Lima [aut] , Reginaldo Re [aut] , Valeria Batista [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>

Diff between caretSDM versions 1.2.3 dated 2025-11-06 and 1.2.5 dated 2026-01-08

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Package SEQTaRget updated to version 1.3.3 with previous version 1.3.2 dated 2025-11-10

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package minimaxApprox updated to version 0.5.0 with previous version 0.4.3 dated 2024-06-20

Title: Implementation of Remez Algorithm for Polynomial and Rational Function Approximation
Description: Implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (1968) <doi:10.1007/BF02162506> for rational minimax approximation.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package projectLSA updated to version 0.0.5 with previous version 0.0.3 dated 2025-12-10

Title: R Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011), LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package negligible updated to version 0.1.11 with previous version 0.1.9 dated 2024-09-09

Title: A Collection of Functions for Negligible Effect/Equivalence Testing
Description: Researchers often want to evaluate whether there is a negligible relationship among variables. The 'negligible' package provides functions that are useful for conducting negligible effect testing (also called equivalence testing). For example, there are functions for evaluating the equivalence of means or the presence of a negligible association (correlation or regression). Beribisky, N., Mara, C., & Cribbie, R. A. (2020) <doi:10.20982/tqmp.16.4.p424>. Beribisky, N., Davidson, H., Cribbie, R. A. (2019) <doi:10.7717/peerj.6853>. Shiskina, T., Farmus, L., & Cribbie, R. A. (2018) <doi:10.20982/tqmp.14.3.p167>. Mara, C. & Cribbie, R. A. (2017) <doi:10.1080/00220973.2017.1301356>. Counsell, A. & Cribbie, R. A. (2015) <doi:10.1111/bmsp.12045>. van Wieringen, K. & Cribbie, R. A. (2014) <doi:10.1111/bmsp.12015>. Goertzen, J. R. & Cribbie, R. A. (2010) <doi:10.1348/000711009x475853>. Cribbie, R. A., Gruman, J. & Arpin-Cribbi [...truncated...]
Author: Robert Cribbie [aut, cre], Udi Alter [aut], Nataly Beribisky [aut], Phil Chalmers [aut], Alyssa Counsell [aut], Linda Farmus [aut], Naomi Martinez Gutierrez [aut], Victoria Ng [ctb]
Maintainer: Robert Cribbie <cribbie@yorku.ca>

Diff between negligible versions 0.1.9 dated 2024-09-09 and 0.1.11 dated 2026-01-08

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More information about negligible at CRAN
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Package MBBEFDLite updated to version 0.1.0 with previous version 0.0.5 dated 2025-01-31

Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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More information about MBBEFDLite at CRAN
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Package gkwdist updated to version 1.1.2 with previous version 1.1.1 dated 2025-11-27

Title: Generalized Kumaraswamy Distribution Family
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.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

Diff between gkwdist versions 1.1.1 dated 2025-11-27 and 1.1.2 dated 2026-01-08

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Package XYomics updated to version 0.1.3 with previous version 0.1.2 dated 2025-12-15

Title: Analysis of Sex Differences in Omics Data for Complex Diseases
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.
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Maintainer: Enrico Glaab <enrico.glaab@uni.lu>

Diff between XYomics versions 0.1.2 dated 2025-12-15 and 0.1.3 dated 2026-01-08

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Package verifyr2 updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-16

Title: Compare and Verify File Contents
Description: Extendable 'R6' file comparison classes, including a 'shiny' app for combining the comparison functionality into a file comparison application. The package idea originates from pharma companies' drug development processes, where statisticians and statistical programmers need to review and compare different versions of the same outputs and datasets. The package implementation itself is not tied to any specific industry and can be used in any context for easy file comparisons between different file version sets.
Author: Juha Javanainen [aut, cre], Tiina Kirsilae [ctb], Anna Wiksten [ctb]
Maintainer: Juha Javanainen <ejuhjav@gmail.com>

Diff between verifyr2 versions 1.0.0 dated 2025-07-16 and 1.1.0 dated 2026-01-08

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New package tidyna with initial version 0.1.2
Package: tidyna
Title: NA-Aware Defaults for Common R Functions
Version: 0.1.2
Description: Provides drop-in replacements for common R functions (mean(), sum(), sd(), min(), etc.) that default to 'na.rm = TRUE' and issue warnings when missing values are removed. It handles some special cases. The table() default is set to 'useNA = ifany'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.0.0)
Suggests: testthat (>= 3.0.0), withr
URL: https://github.com/statzhero/tidyna
BugReports: https://github.com/statzhero/tidyna/issues
NeedsCompilation: no
Packaged: 2026-01-07 14:28:34 UTC; rico
Author: Ulrich Atz [aut, cre]
Maintainer: Ulrich Atz <ulrich.atz@unibocconi.it>
Repository: CRAN
Date/Publication: 2026-01-08 19:20:02 UTC

More information about tidyna at CRAN
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New package OpEnCAST with initial version 0.1.1
Package: OpEnCAST
Title: Optimized Ensemble Model for C and A Methylation Search in Plant
Version: 0.1.1
Author: Abhik Sarkar [aut, cre], Dipro Sinha [aut], Sneha Murmu [aut], Md Yeasin [aut], Dwijesh Chandra Mishra [aut], Sunil Archak [aut]
Maintainer: Abhik Sarkar <abhik.iasri@gmail.com>
Description: DNA methylation is an important epigenetic process that regulates gene activity through chemical modifications of DNA without changing its sequence. 'OpEnCAST' is a plant-specific ensemble-based prediction package that identifies 4mC, 5mC and 6mA methylation sites directly from DNA sequences. It combines multiple machine learning algorithms trained on monocot (Oryza sp.) and dicot (Arabidopsis sp.) reference models to deliver accurate predictions. This methodology is being inspired by the ensemble algorithm for methylation prediction developed by Wang et al. (2022) <doi:10.1186/s12859-022-04756-1>.
Imports: Biostrings, seqinr, stringr, tibble, entropy, ftrCOOL, stats
Suggests: caret, kernlab, ranger, xgboost, gbm
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2025-12-22 20:24:59 UTC; Abhik
Repository: CRAN
Date/Publication: 2026-01-08 19:20:22 UTC

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New package OmicNetR with initial version 0.1.1
Package: OmicNetR
Title: Network-Based Integration of Multi-Omics Data Using Sparse CCA
Version: 0.1.1
Author: Prem Prashant Chaudhary [aut, cre]
Maintainer: Prem Prashant Chaudhary <chaudharyp2@nih.gov>
Description: Provides an end-to-end workflow for integrative analysis of two omics layers using sparse canonical correlation analysis (sCCA), including sample alignment, feature selection, network edge construction, and visualization of gene-metabolite relationships. The underlying methods are based on penalized matrix decomposition and sparse CCA (Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008>), with design principles inspired by multivariate integrative frameworks such as mixOmics (Rohart et al. (2017) <doi:10.1371/journal.pcbi.1005752>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, graphics, grDevices, ggplot2, igraph
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mixOmics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-01 19:28:41 UTC; chaudharyp2
Repository: CRAN
Date/Publication: 2026-01-08 19:30:14 UTC

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New package odyssey with initial version 1.0.0
Package: odyssey
Title: Interface to the HAL Open Archive API
Version: 1.0.0
Description: An interface to the search API of 'HAL' <https://hal.science/>, the French open archive for scholarly documents from all academic fields. This package provides programmatic access to the API <https://api.archives-ouvertes.fr/docs> and allows to search for records and download documents.
License: GPL (>= 3)
URL: https://codeberg.org/nfrerebeau/odyssey, https://nfrerebeau.r-universe.dev/odyssey, https://nfrerebeau.codeberg.page/odyssey/
BugReports: https://codeberg.org/nfrerebeau/odyssey/issues
Depends: R (>= 4.1)
Imports: httr2, rlang, utils
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-07 15:09:23 UTC; nfrerebeau
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Repository: CRAN
Date/Publication: 2026-01-08 19:30:02 UTC

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Package mcglm readmission to version 0.9.0 with previous version 0.8.0 dated 2022-09-15

Title: Multivariate Covariance Generalized Linear Models
Description: Fitting multivariate covariance generalized linear models (McGLMs) to data. McGLM is a general framework for non-normal multivariate data analysis, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link function combined with a matrix linear predictor involving known matrices. The models take non-normality into account in the conventional way by means of a variance function, and the mean structure is modelled by means of a link function and a linear predictor. The models are fitted using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of different types of response variables and covariance structures, including multivariate extensions of repeated measures, time series, longitudinal, spatial and spatio-temporal structures. The package offers a u [...truncated...]
Author: Wagner Hugo Bonat [aut, cre]
Maintainer: Wagner Hugo Bonat <wbonat@ufpr.br>

This is a re-admission after prior archival of version 0.8.0 dated 2022-09-15

Diff between mcglm versions 0.8.0 dated 2022-09-15 and 0.9.0 dated 2026-01-08

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Package guideR updated to version 0.9.0 with previous version 0.8.1 dated 2025-12-19

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between guideR versions 0.8.1 dated 2025-12-19 and 0.9.0 dated 2026-01-08

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New package gradLasso with initial version 0.1.1
Package: gradLasso
Title: Gradient Descent LASSO with Stability Selection and Bootstrapped Confidence Intervals
Version: 0.1.1
Description: Implements LASSO regression using gradient descent with support for Gaussian, Binomial, Negative Binomial, and Zero-Inflated Negative Binomial (ZINB) families. Features cross-validation for determining lambda, stability selection, and bootstrapping for confidence intervals. Methods described in Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
URL: https://github.com/ddefranza/gradLasso
BugReports: https://github.com/ddefranza/gradLasso/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, utils, graphics, grDevices, foreach, doParallel, parallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-07 12:47:51 UTC; ddefranza
Author: David DeFranza [aut, cre]
Maintainer: David DeFranza <david.defranza@ucd.ie>
Repository: CRAN
Date/Publication: 2026-01-08 19:10:10 UTC

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New package evmissing with initial version 1.0.0
Package: evmissing
Title: Extreme Value Analyses with Missing Data
Version: 1.0.0
Date: 2026-01-07
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Description: Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2025) <doi:10.48550/arXiv.2512.15429>. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.
Imports: gamlssx, graphics, itp, nieve, revdbayes, rust, stats
License: GPL (>= 3)
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://paulnorthrop.github.io/evmissing/, https://github.com/paulnorthrop/evmissing
BugReports: https://github.com/paulnorthrop/evmissing/issues
NeedsCompilation: no
Packaged: 2026-01-07 13:17:11 UTC; Paul
Author: Paul J. Northrop [aut, cre, cph], Emma S. Simpson [aut, cph]
Repository: CRAN
Date/Publication: 2026-01-08 19:20:15 UTC

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Package docorator updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-30

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

Diff between docorator versions 0.5.0 dated 2025-09-30 and 0.5.1 dated 2026-01-08

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New package CNSigs with initial version 0.1.0
Package: CNSigs
Title: Analysis of Copy Number Signatures
Version: 0.1.0
Maintainer: Shawn Striker <striker.35@osu.edu>
Description: A workflow to generate and analyze signatures based on copy number data using non-negative matrix factorization (NMF) in an approach similar to that used in mutational signatures. It can be used to extract features from Copy number segment data and use that to find a subset of copy number signatures which can be further used to correlate with other relevant data. For more on 'NMF' see Gaujoux (2013) <doi:10.1186/1471-2105-11-367>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), NMF
Imports: methods, doParallel, foreach, flexmix, limSolve, ggplot2, snow, cowplot, pheatmap, RColorBrewer, viridisLite, colorspace, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-29 13:06:42 UTC; str236
Author: David Tallman [aut], Shawn Striker [cre, ctb], Daniel Stover [cph]
Repository: CRAN
Date/Publication: 2026-01-08 19:30:19 UTC

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New package AeroEvapR with initial version 0.1.6
Package: AeroEvapR
Title: Estimating Reservoir Evaporation via Aerodynamic Approach
Version: 0.1.6
Maintainer: Ally Fitts <afitts@usbr.gov>
Description: Developed as an 'R' alternative to the 'AeroEvap' model developed by the Desert Research Institute (DRI) in 'python' <https://github.com/WSWUP/AeroEvap/blob/master/README.rst> which estimates open water evaporation using the aerodynamic mass transfer approach.
Encoding: UTF-8
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Bureau of Reclamation, an agency of the United States Department of Interior.
Depends: R (>= 4.2.0)
Imports: readxl, data.table, openxlsx
Suggests: knitr, rmarkdown,dplyr, ggplot2, lubridate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-06 15:07:14 UTC; afitts
Author: Elise Madonna [aut], Kathleen Holman [aut], Ally Fitts [aut, cre], John Volk [aut], Chris Pearson [aut]
Repository: CRAN
Date/Publication: 2026-01-08 19:20:26 UTC

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New package SRscore with initial version 0.1.2
Package: SRscore
Title: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes
Version: 0.1.2
Author: Yusuke Fukuda [aut, cre], Atsushi Fukushima [aut]
Maintainer: Yusuke Fukuda <s823631038@kpu.ac.jp>
Description: Stress Response score (SRscore) is a stress responsiveness measure for transcriptome datasets and is based on the vote-counting method. The SRscore is determined to evaluate and score genes on the basis of the consistency of the direction of their regulation (Up-regulation, Down-regulation, or No change) under stress conditions across multiple analyzed research projects. This package is based on the HN-score (score based on the ratio of gene expression between hypoxic and normoxic conditions) proposed by Tamura and Bono (2022) <doi:10.3390/life12071079>, and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) <doi:10.1093/plphys/kiaf105>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, utils, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tibble, ComplexHeatmap, clusterProfiler, org.At.tair.db, BiocStyle, RColorBrewer, genefilter, DT
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-01-07 09:36:19 UTC; kpufukuda
Repository: CRAN
Date/Publication: 2026-01-08 18:50:19 UTC

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Package PopGenHelpR updated to version 1.4.2 with previous version 1.4.1 dated 2025-08-19

Title: Streamline Population Genomic and Genetic Analyses
Description: Estimate commonly used population genomic statistics and generate publication quality figures. 'PopGenHelpR' uses vcf, 'geno' (012), and csv files to generate output.
Author: Keaka Farleigh [aut, cph, cre] , Mason Murphy [aut, cph, ctb] , Christopher Blair [aut, cph, ctb] , Tereza Jezkova [aut, cph, ctb]
Maintainer: Keaka Farleigh <keakafarleigh@gmail.com>

Diff between PopGenHelpR versions 1.4.1 dated 2025-08-19 and 1.4.2 dated 2026-01-08

 DESCRIPTION            |    8 
 MD5                    |   14 
 NEWS.md                |    5 
 R/Differentiation.R    | 1199 ++++++++++++++++++++++++-------------------------
 R/Heterozygosity.R     |    7 
 README.md              |    5 
 man/Differentiation.Rd |    6 
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 8 files changed, 640 insertions(+), 610 deletions(-)

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New package pboost with initial version 0.2.1
Package: pboost
Title: Profile Boosting Framework for Parametric Models
Version: 0.2.1
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression. An S3 interface EBIC() is provided as the stopping rule for the profile boosting by default.
Imports: stats, Matrix, MASS, betareg, quantreg, survival, Formula
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/paradoxical-rhapsody/pboost
BugReports: https://github.com/paradoxical-rhapsody/pboost/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-12-30 21:05:53 UTC; zengc
Author: Zengchao Xu [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-08 18:50:02 UTC

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New package outlierspinner with initial version 0.1.0
Package: outlierspinner
Title: Geometric Multivariate Outlier Detection via Random Directional Probing
Version: 0.1.0
Description: Provides tools for multivariate outlier detection based on geometric properties of multivariate data using random directional projections. Observation-level outlier scores are computed by jointly probing radial magnitude and angular alignment through repeated projections onto random directions, with optional robust centering and covariance adjustment. In addition to global outlier scoring, the method produces dimension-level contribution measures to support interpretation of detected anomalies. Visualization utilities are included to summarize directional contributions for extreme observations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, MASS, tidyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-06 08:09:39 UTC; peconom
Author: Polychronis Economou [aut, cre]
Maintainer: Polychronis Economou <peconom@upatras.gr>
Repository: CRAN
Date/Publication: 2026-01-08 18:50:07 UTC

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New package esviz with initial version 0.0.1
Package: esviz
Title: Plotting Functions for Climate Science and Services
Version: 0.0.1
Description: A plotting package for climate science and services. Provides a set of functions for visualizing climate data, including maps, time series, scorecards and other diagnostics. Some functions are adapted and extended from the 's2dv' and 'CSTools' packages (Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>), with more consistent and integrated functionalities.
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, maps, ClimProjDiags, sf, ggplot2, rnaturalearth, cowplot, s2dv, RColorBrewer, CSTools, easyNCDF (>= 0.1.4), dplyr, plyr, data.table, reshape2, scales, stats, utils, foreach, rlang, kableExtra, gridExtra, gtable, doParallel, mapproj, webshot2, variancePartition, jsonlite
Suggests: testthat, rnaturalearthdata
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>
License: GPL-3
URL: https://gitlab.earth.bsc.es/es/esviz/
BugReports: https://gitlab.earth.bsc.es/es/esviz/-/issues
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-29 10:46:40 UTC; abatalla
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Eva Rifa [ctb], Victoria Agudetse [ctb], Ariadna Batalla [ctb, cre], Nuria Perez-Zanon [ctb], Nadia Milders [ctb], Veronica Torralba [ctb], Raul Capellan [ctb], Anindita Patra [ctb]
Repository: CRAN
Date/Publication: 2026-01-08 18:50:11 UTC

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Package simDAG updated to version 0.5.0 with previous version 0.4.1 dated 2025-10-15

Title: Simulate Data from a (Time-Dependent) Causal DAG
Description: Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>

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Package gpboost updated to version 1.6.5 with previous version 1.6.4 dated 2025-11-07

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package tidyfinance updated to version 0.4.5 with previous version 0.4.4 dated 2025-05-07

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
Author: Christoph Scheuch [aut, cre, cph] , Stefan Voigt [aut, cph] , Patrick Weiss [aut, cph] , Maximilian Muecke [ctb]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Package RcppCCTZ updated to version 0.2.14 with previous version 0.2.13 dated 2024-12-11

Title: 'Rcpp' Bindings for the 'CCTZ' Library
Description: 'Rcpp' access to the 'CCTZ' timezone library is provided. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License, is included in this package. See <https://github.com/google/cctz> for more details.
Author: Dirk Eddelbuettel [aut, cre] , Bradley White [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package happign updated to version 0.3.7 with previous version 0.3.6 dated 2025-09-03

Title: R Interface to 'IGN' Web Services
Description: Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. 'happign' also provide access to API Carto (<https://apicarto.ign.fr/api/doc/>).
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

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Package ggsem updated to version 0.9.7 with previous version 0.9.6 dated 2025-12-16

Title: Interactive Structural Equation Modeling (SEM) and Multi-Group Path Diagrams
Description: Provides an interactive workflow for visualizing structural equation modeling (SEM), multi-group path diagrams, and network diagrams in R. Users can directly manipulate nodes and edges to create publication-quality figures while maintaining statistical model integrity. Supports integration with 'lavaan', 'OpenMx', 'tidySEM', and 'blavaan' etc. Features include parameter-based aesthetic mapping, generative AI assistance, and complete reproducibility by exporting metadata for script-based workflows.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

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Package emf updated to version 0.2.0 with previous version 0.1.0 dated 2025-05-29

Title: Ecosystem Multifunctionality: Richness, Divergence, and Regularity
Description: Analyzes and quantifies ecosystem multifunctionality with functions to calculate multifunctionality richness (MFric), multifunctionality divergence (MFdiv), and multifunctionality regularity (MFreg). These indices help assess the relationship between biodiversity and multiple ecosystem functions. For more details, see Byrnes et al. (2014) <doi:10.1111/2041-210X.12143> and Chao et al. (2024) <doi:10.1111/ele.14336>.
Author: Yan He [aut, cre], Rui Yang [aut], Lingfeng Mao [aut]
Maintainer: Yan He <heyan@njfu.edu.cn>

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More information about emf at CRAN
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Package crmPack updated to version 2.0.2 with previous version 2.0.1 dated 2025-12-04

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [a [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

Diff between crmPack versions 2.0.1 dated 2025-12-04 and 2.0.2 dated 2026-01-08

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 NEWS.md                                                                   |  784 
 R/CrmPackClass-class.R                                                    |   26 
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 R/Data-methods.R                                                          | 2076 -
 R/Data-validity.R                                                         |  550 
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 R/Design-methods.R                                                        | 8622 ++++----
 R/Design-validity.R                                                       |  170 
 R/McmcOptions-class.R                                                     |  238 
 R/McmcOptions-methods.R                                                   |  176 
 R/McmcOptions-validity.R                                                  |  146 
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 R/Samples-validity.R                                                      |   60 
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 R/Simulations-methods.R                                                   | 6038 ++---
 R/Simulations-validity.R                                                  |  340 
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 R/crmPack-package.R                                                       |  268 
 R/fromQuantiles.R                                                         |  852 
 R/helpers.R                                                               | 1958 -
 R/helpers_broom.R                                                         |  422 
 R/helpers_covr.R                                                          |  178 
 R/helpers_data.R                                                          |  482 
 R/helpers_design.R                                                        |  604 
 R/helpers_jags.R                                                          |  520 
 R/helpers_knitr.R                                                         |   90 
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 R/helpers_model.R                                                         |  512 
 R/helpers_rules.R                                                         | 1810 -
 R/helpers_samples.R                                                       |   54 
 R/helpers_simulations.R                                                   |  142 
 R/logger.R                                                                |  128 
 R/mcmc.R                                                                  | 1564 -
 R/utils-pipe.R                                                            |   28 
 R/utils.R                                                                 |   66 
 build/partial.rdb                                                         |binary
 build/vignette.rds                                                        |binary
 inst/CITATION                                                             |   40 
 inst/REFERENCES.bib                                                       |  200 
 inst/WORDLIST                                                             |  500 
 inst/doc/crmPack-jss-paper.Rmd                                            | 1934 -
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 man/CohortSize-class.Rd                                                   |   54 
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 man/CohortSizeDLT-class.Rd                                                |   84 
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 man/CrmPackClass.Rd                                                       |   28 
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 man/DLTLikelihood.Rd                                                      |   40 
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 man/DataParts-class.Rd                                                    |  116 
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 man/GeneralData-class.Rd                                                  |   60 
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 man/Increments-class.Rd                                                   |   48 
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 man/IncrementsHSRBeta-class.Rd                                            |  120 
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 man/IncrementsMin-class.Rd                                                |  118 
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 man/McmcOptions-class.Rd                                                  |  152 
 man/MinimalInformative.Rd                                                 |  198 
 man/ModelEff-class.Rd                                                     |   84 
 man/ModelLogNormal-class.Rd                                               |  106 
 man/ModelParamsNormal-class.Rd                                            |   94 
 man/ModelPseudo-class.Rd                                                  |   48 
 man/ModelTox-class.Rd                                                     |   86 
 man/NextBest-class.Rd                                                     |   54 
 man/NextBestDualEndpoint-class.Rd                                         |  188 
 man/NextBestEWOC-class.Rd                                                 |  120 
 man/NextBestInfTheory-class.Rd                                            |   76 
 man/NextBestMTD-class.Rd                                                  |   94 
 man/NextBestMaxGain-class.Rd                                              |   96 
 man/NextBestMaxGainSamples-class.Rd                                       |  142 
 man/NextBestMinDist-class.Rd                                              |   76 
 man/NextBestNCRM-class.Rd                                                 |  122 
 man/NextBestNCRMLoss-class.Rd                                             |  170 
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 man/NextBestTD-class.Rd                                                   |   98 
 man/NextBestTDsamples-class.Rd                                            |  114 
 man/NextBestThreePlusThree-class.Rd                                       |   56 
 man/OneParExpPrior-class.Rd                                               |  118 
 man/OneParLogNormalPrior-class.Rd                                         |  110 
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 man/ProbitLogNormalRel-class.Rd                                           |  108 
 man/PseudoDualFlexiSimulations-class.Rd                                   |   68 
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 man/Quantiles2LogisticNormal.Rd                                           |  138 
 man/RuleDesign-class.Rd                                                   |  140 
 man/RuleDesignOrdinal-class.Rd                                            |  140 
 man/SafetyWindow-class.Rd                                                 |   44 
 man/SafetyWindowConst-class.Rd                                            |  106 
 man/SafetyWindowSize-class.Rd                                             |  156 
 man/Samples-class.Rd                                                      |  112 
 man/Simulations-class.Rd                                                  |  180 
 man/SimulationsSummary-class.Rd                                           |   68 
 man/StartingDose-class.Rd                                                 |   66 
 man/Stopping-class.Rd                                                     |   58 
 man/StoppingAll-class.Rd                                                  |  102 
 man/StoppingAny-class.Rd                                                  |  102 
 man/StoppingCohortsNearDose-class.Rd                                      |  102 
 man/StoppingExternal-class.Rd                                             |   56 
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 man/StoppingList-class.Rd                                                 |  112 
 man/StoppingLowestDoseHSRBeta-class.Rd                                    |  162 
 man/StoppingMTDCV-class.Rd                                                |   94 
 man/StoppingMTDdistribution-class.Rd                                      |  126 
 man/StoppingMaxGainCIRatio-class.Rd                                       |  106 
 man/StoppingMinCohorts-class.Rd                                           |   78 
 man/StoppingMinPatients-class.Rd                                          |   78 
 man/StoppingMissingDose-class.Rd                                          |   62 
 man/StoppingOrdinal-class.Rd                                              |   84 
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 man/TDDesign-class.Rd                                                     |  204 
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 man/Validate.Rd                                                           |   68 
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 man/approximate.Rd                                                        |  228 
 man/assertions.Rd                                                         |   52 
 man/biomarker.Rd                                                          |  224 
 man/check_equal.Rd                                                        |  152 
 man/check_format.Rd                                                       |  142 
 man/check_length.Rd                                                       |   98 
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 man/check_probability.Rd                                                  |  126 
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 man/check_range.Rd                                                        |  184 
 man/crmPack.Rd                                                            |  110 
 man/crmPackExample.Rd                                                     |   34 
 man/crmPackHelp.Rd                                                        |   32 
 man/dapply.Rd                                                             |  112 
 man/dinvGamma.Rd                                                          |   52 
 man/dose.Rd                                                               |  514 
 man/doseFunction.Rd                                                       |  158 
 man/dose_grid_range.Rd                                                    |  118 
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 man/fitPEM.Rd                                                             |  252 
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 man/getEff.Rd                                                             |   88 
 man/get_result_list.Rd                                                    |   62 
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 man/h_blind_plot_data.Rd                                                  |   48 
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 man/h_determine_dlts.Rd                                                   |   86 
 man/h_find_interval.Rd                                                    |  100 
 man/h_format_number.Rd                                                    |   82 
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 man/h_get_min_inf_beta.Rd                                                 |   52 
 man/h_get_quantiles_start_values.Rd                                       |   52 
 man/h_group_data.Rd                                                       |   50 
 man/h_in_range.Rd                                                         |   76 
 man/h_info_theory_dist.Rd                                                 |   52 
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 man/h_jags_add_dummy.Rd                                                   |  110 
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 man/h_knit_format_func.Rd                                                 |   24 
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 man/h_prepare_units.Rd                                                    |   38 
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 man/h_rapply.Rd                                                           |  128 
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 man/h_slots.Rd                                                            |   58 
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 man/h_this_truth.Rd                                                       |   44 
 man/h_unpack_stopit.Rd                                                    |   38 
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 man/logit.Rd                                                              |   46 
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 man/minSize.Rd                                                            |   92 
 man/myBayesLogit.Rd                                                       |   58 
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 man/nextBest.Rd                                                           | 2002 -
 man/ngrid.Rd                                                              |   80 
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 man/plot.gtable.Rd                                                        |   52 
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 man/printVignette.Rd                                                      |   44 
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 man/probit.Rd                                                             |   46 
 man/qinvGamma.Rd                                                          |   54 
 man/rinvGamma.Rd                                                          |   44 
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 man/update-DataParts-method.Rd                                            |   98 
 man/update-ModelPseudo-method.Rd                                          |  150 
 man/v_cohort_size.Rd                                                      |  104 
 man/v_data_objects.Rd                                                     |  166 
 man/v_design.Rd                                                           |   96 
 man/v_general_simulations.Rd                                              |   94 
 man/v_increments.Rd                                                       |  150 
 man/v_mcmcoptions_objects.Rd                                              |   58 
 man/v_model_objects.Rd                                                    |  236 
 man/v_model_params.Rd                                                     |   58 
 man/v_next_best.Rd                                                        |  202 
 man/v_pseudo_simulations.Rd                                               |   90 
 man/v_safety_window.Rd                                                    |   68 
 man/v_samples_objects.Rd                                                  |   52 
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Package vandalico updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-29

Title: Evaluation of Presence-Absence Models
Description: Collection of functions to evaluate presence-absence models. It comprises functions to adjust discrimination statistics for the representativeness effect through case-weighting, along with functions for visualizing the outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods Ecol. Evol, 13, 1224-1236.
Author: Alberto Jimenez-Valverde [aut, cre]
Maintainer: Alberto Jimenez-Valverde <alberto.jimenez.valverde@gmail.com>

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Package trendsegmentR updated to version 1.3.1 with previous version 1.3.0 dated 2023-08-24

Title: Linear Trend Segmentation
Description: Performs the detection of linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2023). The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal.
Author: Hyeyoung Maeng [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Hyeyoung Maeng <hyeyoung.maeng@durham.ac.uk>

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Package scoper updated to version 1.4.0 with previous version 1.3.0 dated 2023-10-06

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Nouri N and Kleinstein SH (2019) <doi: 10.1101/788620>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut], Edel Aron [ctb], Gisela Gabernet [ctb], Cole Jensen [ctb], Huimin Lyu [ctb], Susanna Marquez [ctb, cre], Jason Vander Heiden [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package rainette updated to version 0.3.2 with previous version 0.3.1.1 dated 2023-03-28

Title: The Reinert Method for Textual Data Clustering
Description: An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.
Author: Julien Barnier [aut, cre], Florian Prive [ctb]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package omophub updated to version 1.3.0 with previous version 1.1.0 dated 2025-12-17

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, vocabulary exploration, hierarchy navigation, relationship queries, and concept mappings with automatic pagination and rate limiting.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package meteospain updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-12

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb], Ruben Fernandez-Casal [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package logolink updated to version 1.0.0 with previous version 0.1.0 dated 2025-10-09

Title: An Interface for Running 'NetLogo' Simulations
Description: An interface for 'NetLogo' <https://www.netlogo.org> that enables programmatic setup and execution of simulations. Designed to facilitate integrating 'NetLogo' models into reproducible workflows by creating and running 'BehaviorSpace' experiments and retrieving their results.
Author: Daniel Vartanian [aut, cre, ccp, cph]
Maintainer: Daniel Vartanian <danielvartan@proton.me>

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Package gumbel updated to version 1.10-5 with previous version 1.10-4 dated 2025-11-28

Title: The Gumbel-Hougaard Copula
Description: Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
Author: Christophe Dutang [aut, cre] , Anne-Lise Caillat [ctb], Veronique Larrieu [ctb], Triet Nguyen [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package DIscBIO updated to version 1.2.3 with previous version 1.2.2 dated 2023-11-06

Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Author: Salim Ghannoum [aut, cph], Alvaro Koehn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between DIscBIO versions 1.2.2 dated 2023-11-06 and 1.2.3 dated 2026-01-08

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Package clinpubr updated to version 1.2.0 with previous version 1.1.1 dated 2025-12-19

Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>

Diff between clinpubr versions 1.1.1 dated 2025-12-19 and 1.2.0 dated 2026-01-08

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Package CGNM updated to version 0.9.3 with previous version 0.9.2 dated 2025-09-11

Title: Cluster Gauss-Newton Method
Description: Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31. Please cite the following paper when profile likelihood plot is drawn with this software and used in your research: Aoki and Sugiyama (2024) <doi:10.1002/psp4.13055>. Cluster Gauss-Newton method for a quick approximation of profile likelihood: With application to physiologically-based pharmacokinetic models. CPT Pharmacometrics Syst Pharmacol.13(1):54-67. GPT based helper bot available at <https://chatgpt.com/g/g-684936db9e748191a2796debb00cd755-cluster-gauss-newton-method-helper-bot> .
Author: Yasunori Aoki [aut, cre]
Maintainer: Yasunori Aoki <yaoki@uwaterloo.ca>

Diff between CGNM versions 0.9.2 dated 2025-09-11 and 0.9.3 dated 2026-01-08

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Package cellWise updated to version 2.5.5 with previous version 2.5.4 dated 2025-09-23

Title: Analyzing Data with Cellwise Outliers
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access) Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access), Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access), Raymaekers and Rousseeuw (2022) <doi:10.1080/01621459.2023.2267777> (open access) Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [ctb], Mia Hubert [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@uantwerpen.be>

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Package transforEmotion updated to version 0.1.7 with previous version 0.1.6 dated 2025-05-15

Title: Sentiment Analysis for Text, Image and Video using Transformer Models
Description: Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default image/video pipeline is Open AI's CLIP <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.
Author: Alexander Christensen [aut] , Hudson Golino [aut] , Aleksandar Tomasevic [aut, cre]
Maintainer: Aleksandar Tomasevic <atomashevic@gmail.com>

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Package reproducible updated to version 3.0.0 with previous version 2.1.2 dated 2024-12-12

Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are 'Cache()' and 'prepInputs()'. 'Cache()' allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from 'terra' and 'raster' packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see '?reproducibleOptions()'.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package JuliaConnectoR updated to version 1.1.5 with previous version 1.1.4 dated 2024-10-08

Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.
Author: Stefan Lenz [aut, cre] , Harald Binder [aut, ths] , Angelo D'Ambrosio [ctb] , June Choe [ctb]
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>

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Package detect updated to version 0.5-1 with previous version 0.5-0 dated 2025-09-01

Title: Analyzing Wildlife Data with Detection Error
Description: Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (QPAD) (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>), and single bin QPAD (SQPAD) models (Lele & Solymos 2025 <doi:10.1093/ornithapp/duaf078>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.
Author: Peter Solymos [aut, cre] , Monica Moreno [aut], Subhash R. Lele [aut], Steven L. Van Wilgenburg [ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

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Package deps updated to version 0.4.1 with previous version 0.4.0 dated 2024-07-07

Title: Dependency Management with 'roxygen'-Style Comments
Description: Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.
Author: Peter Solymos [aut, cre] , Analythium Solutions Inc. [cph, fnd]
Maintainer: Peter Solymos <peter@analythium.io>

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Package CSCNet updated to version 0.1.3 with previous version 0.1.2 dated 2022-11-08

Title: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty
Description: Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.
Author: Shahin Roshani [aut, cre, cph]
Maintainer: Shahin Roshani <s.roshani@nki.nl>

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Package corrselect updated to version 3.1.0 with previous version 3.0.5 dated 2025-12-16

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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 corrselect-3.1.0/corrselect/MD5                                                                                    |  197 -
 corrselect-3.1.0/corrselect/NAMESPACE                                                                              |    1 
 corrselect-3.1.0/corrselect/NEWS.md                                                                                |   47 
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 corrselect-3.1.0/corrselect/README.md                                                                              |   10 
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More information about corrselect at CRAN
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Package admix updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-05

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package SNPannotator updated to version 1.4.6 with previous version 1.4.3 dated 2025-11-26

Title: Automated Functional Annotation of Genetic Variants and Linked Proxies
Description: To automated functional annotation of genetic variants and linked proxies. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.
Author: Alireza Ani [aut, cre], Zoha Kamali [aut], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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Package rmake updated to version 1.2.2 with previous version 1.2.1 dated 2025-11-12

Title: Makefile Generator for R Analytical Projects
Description: Creates and maintains a build process for complex analytic tasks in R. Package allows to easily generate Makefile for the (GNU) 'make' tool, which drives the build process by (in parallel) executing build commands in order to update results accordingly to given dependencies on changed data or updated source files.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package RBaM updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-30

Title: Bayesian Modeling: Estimate a Computer Model and Make Uncertain Predictions
Description: An interface to the 'BaM' (Bayesian Modeling) engine, a 'Fortran'-based executable aimed at estimating a model with a Bayesian approach and using it for prediction, with a particular focus on uncertainty quantification. Classes are defined for the various building blocks of 'BaM' inference (model, data, error models, Markov Chain Monte Carlo (MCMC) samplers, predictions). The typical usage is as follows: (1) specify the model to be estimated; (2) specify the inference setting (dataset, parameters, error models...); (3) perform Bayesian-MCMC inference; (4) read, analyse and use MCMC samples; (5) perform prediction experiments. Technical details are available (in French) in Renard (2017) <https://hal.science/hal-02606929v1>. Examples of applications include Mansanarez et al. (2019) <doi:10.1029/2018WR023389>, Le Coz et al. (2021) <doi:10.1002/hyp.14169>, Perret et al. (2021) <doi:10.1029/2020WR027745>, Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Pe [...truncated...]
Author: Benjamin Renard [aut, cre, cph] , INRAE [fnd], Ministere de la Transition Ecologique - SCHAPI [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>

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Package MAINT.Data updated to version 2.7.3 with previous version 2.7.2 dated 2025-09-15

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva [aut, cre], Paula Brito [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>

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Package goeveg updated to version 0.7.10 with previous version 0.7.9 dated 2025-09-03

Title: Functions for Community Data and Ordinations
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress/scree plots, species response curves, merging of taxa as well as calculation and sorting of synoptic tables.
Author: Friedemann von Lampe [aut, cre] , Schellenberg Jenny [aut]
Maintainer: Friedemann von Lampe <fvonlampe@uni-goettingen.de>

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Package GA updated to version 3.2.5 with previous version 3.2.4 dated 2024-01-28

Title: Genetic Algorithms
Description: Flexible general-purpose toolbox implementing genetic algorithms (GAs) for stochastic optimisation. Binary, real-valued, and permutation representations are available to optimize a fitness function, i.e. a function provided by users depending on their objective function. Several genetic operators are available and can be combined to explore the best settings for the current task. Furthermore, users can define new genetic operators and easily evaluate their performances. Local search using general-purpose optimisation algorithms can be applied stochastically to exploit interesting regions. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach. For more details see Scrucca (2013) <doi:10.18637/jss.v053.i04> and Scrucca (2017) <doi:10.32614/RJ-2017-008>.
Author: Luca Scrucca [aut, cre]
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>

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Package TSEtools updated to version 1.0.0 with previous version 0.2.2 dated 2023-06-20

Title: Manage Data from the Finance Markets
Description: A set of tools designed to perform descriptive data analysis on assets, manage asset portfolios and capital allocation, and download, organize, and maintain data from the "Tehran Stock Exchange" and "NOBITEX" platforms.
Author: Ali Saeb [aut, cre]
Maintainer: Ali Saeb <ali.saeb@gmail.com>

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Package thisutils updated to version 0.3.6 with previous version 0.3.1 dated 2025-11-17

Title: Collection of Utility Functions for Data Analysis and Computing
Description: Provides utility functions for data analysis and scientific computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package spfilteR updated to version 2.2.0 with previous version 2.1.0 dated 2025-02-21

Title: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models
Description: Tools to decompose (transformed) spatial connectivity matrices and perform supervised or unsupervised semiparametric spatial filtering in a regression framework. The package supports unsupervised spatial filtering in standard linear as well as some generalized linear regression models.
Author: Sebastian Juhl [aut, cre]
Maintainer: Sebastian Juhl <sebastian.juhl@t-online.de>

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Package highfrequency updated to version 1.0.3 with previous version 1.0.2 dated 2025-12-08

Title: Tools for Highfrequency Data Analysis
Description: Provide functionality to manage, clean and match highfrequency trades and quotes data, calculate various liquidity measures, estimate and forecast volatility, detect price jumps and investigate microstructure noise and intraday periodicity. A detailed vignette can be found in the open-access paper "Analyzing Intraday Financial Data in R: The highfrequency Package" by Boudt, Kleen, and Sjoerup (2022, <doi:10.18637/jss.v104.i08>).
Author: Kris Boudt [aut, cre] , Jonathan Cornelissen [aut], Scott Payseur [aut], Giang Nguyen [ctb], Onno Kleen [aut] , Emil Sjoerup [aut]
Maintainer: Kris Boudt <kris.boudt@ugent.be>

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Package BayesSIM updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-18

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
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) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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Package tidycensuskr updated to version 0.2.7 with previous version 0.2.5 dated 2025-11-24

Title: Easy Access for South Korea Census Data and Boundaries
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.
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>

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Package text updated to version 1.8.0 with previous version 1.7.0 dated 2025-09-01

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package secretbase updated to version 1.1.0 with previous version 1.0.5 dated 2025-03-04

Title: Cryptographic Hash, Extendable-Output and Binary Encoding Functions
Description: Fast and memory-efficient streaming hash functions, binary encoding and serialization. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implements the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), 'SipHash' pseudo-random function, base64 and base58 encoding, and 'CBOR' serialization.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package rswipl readmission to version 10.1.1 with previous version 10.0.0 dated 2025-12-06

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 10.0.0 dated 2025-12-06

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Package cheapr updated to version 1.5.0 with previous version 1.4.0 dated 2025-11-28

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package shinyGovstyle updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-12

Title: Custom Gov Style Inputs for Shiny
Description: Collection of 'shiny' application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Author: Ross Wyatt [aut], Cam Race [aut, cre], Sarah Wong [aut], Richard Bielby [ctb], Charlotte Foster [ctb], Jeni Martin [ctb]
Maintainer: Cam Race <camrace8@gmail.com>

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Package lidR updated to version 4.2.3 with previous version 4.2.2 dated 2025-11-06

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

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Package fastFMM updated to version 1.0.0 with previous version 0.4.0 dated 2025-03-13

Title: Fast Functional Mixed Models using Fast Univariate Inference
Description: Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <doi:10.7554/eLife.95802.2>, Xin et al. (2025)) for fitting functional mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.
Author: Erjia Cui [aut], Gabriel Loewinger [aut], Al Xin [aut, cre]
Maintainer: Al Xin <axin@andrew.cmu.edu>

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Package dataquieR updated to version 2.8.7 with previous version 2.8.2 dated 2025-12-22

Title: Data Quality in Epidemiological Research
Description: Data quality assessments guided by a 'data quality framework introduced by Schmidt and colleagues, 2021' <doi:10.1186/s12874-021-01252-7> target the data quality dimensions integrity, completeness, consistency, and accuracy. The scope of applicable functions rests on the availability of extensive metadata which can be provided in spreadsheet tables. Either standardized (e.g. as 'html5' reports) or individually tailored reports can be generated. For an introduction into the specification of corresponding metadata, please refer to the 'package website' <https://dataquality.qihs.uni-greifswald.de/VIN_Annotation_of_Metadata.html>.
Author: University Medicine Greifswald [cph], Elisa Kasbohm [aut] , Elena Salogni [aut] , Joany Marino [aut] , Adrian Richter [aut] , Carsten Oliver Schmidt [aut] , Stephan Struckmann [aut, cre] , German Research Foundation [fnd], National Research Data Inf [...truncated...]
Maintainer: Stephan Struckmann <stephan.struckmann@uni-greifswald.de>

Diff between dataquieR versions 2.8.2 dated 2025-12-22 and 2.8.7 dated 2026-01-08

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Package clustur updated to version 0.1.4 with previous version 0.1.3 dated 2025-04-21

Title: Clustering
Description: A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
Author: Gregory Johnson [aut] , Sarah Westcott [aut], Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>

Diff between clustur versions 0.1.3 dated 2025-04-21 and 0.1.4 dated 2026-01-08

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Permanent link

Package tidytree updated to version 0.4.7 with previous version 0.4.6 dated 2023-12-12

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph] , Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between tidytree versions 0.4.6 dated 2023-12-12 and 0.4.7 dated 2026-01-08

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Package tidyplots updated to version 0.4.0 with previous version 0.3.1 dated 2025-07-02

Title: Tidy Plots for Scientific Papers
Description: The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>

Diff between tidyplots versions 0.3.1 dated 2025-07-02 and 0.4.0 dated 2026-01-08

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 R/add-general.R                                                                   |    5 
 R/add-heatmap.R                                                                   |    2 
 R/add-misc.R                                                                      |    4 
 R/add-points.R                                                                    |    9 
 R/add-proportional.R                                                              |   15 
 R/add-stats.R                                                                     |   22 
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 man/add_sum_bar.Rd                                                                |    3 
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 man/add_violin.Rd                                                                 |    4 
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More information about tidyplots at CRAN
Permanent link

Package spam updated to version 2.11-3 with previous version 2.11-1 dated 2025-01-20

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Annina Cincera [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam versions 2.11-1 dated 2025-01-20 and 2.11-3 dated 2026-01-08

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More information about spam at CRAN
Permanent link

Package shrinkTVP updated to version 3.1.1 with previous version 3.1.0 dated 2025-06-02

Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>. For the multivariate extension, see the 'shrinkTVPVAR' package.
Author: Peter Knaus [aut, cre] , Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] , Sylvia Fruehwirth-Schnatter [aut] , Daniel Winkler [ctb], Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

Diff between shrinkTVP versions 3.1.0 dated 2025-06-02 and 3.1.1 dated 2026-01-08

 DESCRIPTION             |    6 +++---
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More information about shrinkTVP at CRAN
Permanent link

Package shazam updated to version 1.3.1 with previous version 1.3.0 dated 2025-10-20

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package sdmTMB updated to version 0.8.1 with previous version 0.8.0 dated 2025-11-26

Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description: Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Philina A. English [aut] , Lewis A. K. Barnett [aut] , James T. Thorson [aut, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Jillian C. Dunic [ctb] , Joseph Barss [ctb], Cole C. Monnahan [ctb, cph] [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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Package SCDB updated to version 0.5.2 with previous version 0.5.1 dated 2025-02-27

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre, rev] , Marcus Munch Gruenewald [aut] , Lasse Engbo Christiansen [rev, ctb] , Sofia Myrup Otero [rev], Kim Daniel Jacobsen [ctb], Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package rtables.officer updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-23

Title: Exporting Tools for 'rtables'
Description: Designed to create and display complex tables with R, the 'rtables' R package allows cells in an 'rtables' object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the 'rtables.officer' package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').
Author: Gabriel Becker [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [aut] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package rpart.plot updated to version 3.1.4 with previous version 3.1.3 dated 2025-07-26

Title: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Description: Plot 'rpart' models. Extends plot.rpart() and text.rpart() in the 'rpart' package.
Author: Stephen Milborrow [aut, cre]
Maintainer: Stephen Milborrow <milbo@sonic.net>

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Package rice updated to version 1.6.0 with previous version 1.5.0 dated 2025-12-15

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package personalized updated to version 0.2.8 with previous version 0.2.7 dated 2022-06-27

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.
Author: Jared Huling [aut, cre] , Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package Lock5Data updated to version 4.0.1 with previous version 3.0.0 dated 2021-07-22

Title: Datasets for "Statistics: UnLocking the Power of Data"
Description: Datasets for the fourth edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes versions of datasets from earlier editions.
Author: Robin Lock [aut, cre]
Maintainer: Robin Lock <rlock@stlawu.edu>

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Package easyViz updated to version 2.0.0 with previous version 1.2.0 dated 2025-11-30

Title: Easy Visualization of Conditional Effects from Regression Models
Description: Offers a flexible and user-friendly interface for visualizing conditional effects from a broad range of regression models, including mixed-effects and generalized additive (mixed) models. Compatible model types include lm(), rlm(), glm(), glm.nb(), betareg(), and gam() (from 'mgcv'); nonlinear models via nls(); generalized least squares via gls(); and survival models via coxph() (from 'survival'). Mixed-effects models with random intercepts and/or slopes can be fitted using lmer(), glmer(), glmer.nb(), glmmTMB(), or gam() (from 'mgcv', via smooth terms). Plots are rendered using base R graphics with extensive customization options. Approximate confidence intervals for nls() and betareg() models are computed using the delta method. Robust standard errors for rlm() are computed using the sandwich estimator (Zeileis 2004) <doi:10.18637/jss.v011.i10>. For beta regression using 'betareg', see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. For mixed-effects models w [...truncated...]
Author: Luca Corlatti [aut, cre]
Maintainer: Luca Corlatti <lucac1980@yahoo.it>

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Package binaryRL updated to version 0.9.9 with previous version 0.9.8 dated 2025-10-28

Title: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks
Description: Tools for building Rescorla-Wagner Models for Two-Alternative Forced Choice tasks, commonly employed in psychological research. Most concepts and ideas within this R package are referenced from Sutton and Barto (2018) <ISBN:9780262039246>. The package allows for the intuitive definition of RL models using simple if-else statements and three basic models built into this R package are referenced from Niv et al. (2012) <doi:10.1523/JNEUROSCI.5498-10.2012>. Our approach to constructing and evaluating these computational models is informed by the guidelines proposed in Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Example datasets included with the package are sourced from the work of Mason et al. (2024) <doi:10.3758/s13423-023-02415-x>.
Author: YuKi [aut, cre]
Maintainer: YuKi <hmz1969a@gmail.com>

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Package lifecycle updated to version 1.0.5 with previous version 1.0.4 dated 2023-11-07

Title: Manage the Life Cycle of your Package Functions
Description: Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

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Package gert updated to version 2.3.0 with previous version 2.2.0 dated 2025-11-16

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package report updated to version 0.6.3 with previous version 0.6.2 dated 2025-11-03

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Remi Theriault [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Camden Bock [ctb]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

Diff between report versions 0.6.2 dated 2025-11-03 and 0.6.3 dated 2026-01-08

 DESCRIPTION                                    |    6 
 MD5                                            |  136 ++++----
 NEWS.md                                        |    6 
 R/cite_easystats.R                             |  190 ++++++++---
 R/format_citation.R                            |   33 +-
 R/format_model.R                               |    3 
 R/report.MixMod.R                              |   12 
 R/report.aov.R                                 |  126 +++++--
 R/report.bayesfactor_models.R                  |  217 ++++++++-----
 R/report.character.R                           |  119 ++++---
 R/report.compare.loo.R                         |   16 -
 R/report.compare_performance.R                 |   68 +++-
 R/report.data.frame.R                          |  297 ++++++++++--------
 R/report.estimate_contrasts.R                  |   23 +
 R/report.factor.R                              |  119 +++++--
 R/report.glmmTMB.R                             |   12 
 R/report.htest.R                               |   92 ++++-
 R/report.lavaan.R                              |   48 ++-
 R/report.lm.R                                  |    7 
 R/report.lme.R                                 |   12 
 R/report.lme4.R                                |   12 
 R/report.numeric.R                             |  223 +++++++++----
 R/report.sessionInfo.R                         |   44 ++
 R/report.stanreg.R                             |   63 +++
 R/report.test_performance.R                    |   25 +
 R/report_effectsize.R                          |   27 +
 R/report_htest_chi2.R                          |   83 ++++-
 R/report_htest_cor.R                           |    8 
 R/report_htest_fisher.R                        |   64 +++-
 R/report_htest_ttest.R                         |   27 +
 R/report_htest_wilcox.R                        |   25 +
 R/report_info.R                                |    6 
 R/report_intercept.R                           |   16 -
 R/report_misc.R                                |    5 
 R/report_model.R                               |    1 
 R/report_participants.R                        |  399 ++++++++++++++++++-------
 R/report_performance.R                         |   44 ++
 R/report_priors.R                              |    1 
 R/report_random.R                              |    1 
 R/report_s.R                                   |   21 +
 R/report_sample.R                              |  203 ++++++++----
 R/report_table.R                               |   35 +-
 R/utils_combine_tables.R                       |   27 +
 R/utils_misspelled_variables.R                 |   33 +-
 tests/testthat/_snaps/windows/report.lm.md     |   96 +++---
 tests/testthat/test-brms-performance-fix.R     |    5 
 tests/testthat/test-coverage-MixMod.R          |    3 
 tests/testthat/test-coverage-compare-loo.R     |    3 
 tests/testthat/test-format_algorithm_formula.R |   25 +
 tests/testthat/test-format_citation.R          |   13 
 tests/testthat/test-format_model.R             |   44 ++
 tests/testthat/test-glmmtmb-duplication-fix.R  |   72 +++-
 tests/testthat/test-report.aov.R               |   60 ++-
 tests/testthat/test-report.data.frame.R        |    6 
 tests/testthat/test-report.htest-chi2.R        |    8 
 tests/testthat/test-report.htest-fisher.R      |    3 
 tests/testthat/test-report.htest-friedman.R    |    3 
 tests/testthat/test-report.htest-t-test.R      |   79 +++-
 tests/testthat/test-report.htest-wilcox.R      |   43 ++
 tests/testthat/test-report.ivreg.R             |    3 
 tests/testthat/test-report.lmer.R              |    5 
 tests/testthat/test-report.stanreg.R           |   31 +
 tests/testthat/test-report_basic_methods.R     |   71 +++-
 tests/testthat/test-report_info_misc_text.R    |   23 +
 tests/testthat/test-report_participants.R      |   44 ++
 tests/testthat/test-report_performance.R       |   23 +
 tests/testthat/test-report_sample.R            |   55 ++-
 tests/testthat/test-report_table.R             |    4 
 tests/testthat/test-utils_helpers.R            |   16 -
 69 files changed, 2611 insertions(+), 1062 deletions(-)

More information about report at CRAN
Permanent link

Package reformulas updated to version 0.4.3.1 with previous version 0.4.3 dated 2025-12-17

Title: Machinery for Processing Random Effect Formulas
Description: Takes formulas including random-effects components (formatted as in 'lme4', 'glmmTMB', etc.) and processes them. Includes various helper functions.
Author: Ben Bolker [aut, cre] , Anna Ly [ctb]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

Diff between reformulas versions 0.4.3 dated 2025-12-17 and 0.4.3.1 dated 2026-01-08

 DESCRIPTION                |    9 +++---
 MD5                        |   20 +++++++------
 NAMESPACE                  |    2 +
 NEWS.md                    |   10 +++++-
 R/VarCorr.R                |   67 ++++++++++++++++++++++++++++++++++++---------
 R/utils.R                  |   31 ++++++++++++++------
 build/partial.rdb          |binary
 inst/tinytest/test_utils.R |   34 +++++++++++++++++++++-
 man/formfuns.Rd            |    2 -
 man/splitForm.Rd           |    2 -
 tests/testthat             |only
 tests/testthat.R           |only
 12 files changed, 136 insertions(+), 41 deletions(-)

More information about reformulas at CRAN
Permanent link

Package RcppSpdlog updated to version 0.0.24 with previous version 0.0.23 dated 2025-10-12

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.23 dated 2025-10-12 and 0.0.24 dated 2026-01-08

 RcppSpdlog-0.0.23/RcppSpdlog/inst/include/spdlog/fmt/bundled/locale.h           |only
 RcppSpdlog-0.0.24/RcppSpdlog/ChangeLog                                          |   21 
 RcppSpdlog-0.0.24/RcppSpdlog/DESCRIPTION                                        |    8 
 RcppSpdlog-0.0.24/RcppSpdlog/MD5                                                |  159 +++---
 RcppSpdlog-0.0.24/RcppSpdlog/build/partial.rdb                                  |binary
 RcppSpdlog-0.0.24/RcppSpdlog/build/vignette.rds                                 |binary
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/async_logger-inl.h             |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/async_logger.h                 |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/cfg/helpers-inl.h              |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/cfg/helpers.h                  |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/common-inl.h                   |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/common.h                       |  188 ++++----
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/backtracer-inl.h       |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/backtracer.h           |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/file_helper-inl.h      |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/file_helper.h          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/fmt_helper.h           |   14 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/log_msg-inl.h          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/log_msg.h              |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/log_msg_buffer-inl.h   |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/log_msg_buffer.h       |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/mpmc_blocking_q.h      |    4 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/os-inl.h               |  231 ++++------
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/os.h                   |   22 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/periodic_worker-inl.h  |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/periodic_worker.h      |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/registry-inl.h         |   22 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/registry.h             |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/tcp_client.h           |    5 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/thread_pool-inl.h      |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/thread_pool.h          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/udp_client-windows.h   |    6 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/udp_client.h           |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/details/windows_include.h      |    4 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bin_to_hex.h               |    8 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/base.h             |   34 +
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/chrono.h           |    9 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/color.h            |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/compile.h          |    5 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/format-inl.h       |    7 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/format.h           |   28 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/os.h               |   17 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/ranges.h           |   19 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/bundled/std.h              |  164 +++----
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/chrono.h                   |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/compile.h                  |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/fmt.h                      |   18 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/ostr.h                     |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/ranges.h                   |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/std.h                      |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/fmt/xchar.h                    |   20 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/logger-inl.h                   |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/logger.h                       |   38 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/mdc.h                          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/pattern_formatter-inl.h        |   35 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/pattern_formatter.h            |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/android_sink.h           |   28 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/ansicolor_sink-inl.h     |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/ansicolor_sink.h         |    6 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/base_sink-inl.h          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/base_sink.h              |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/basic_file_sink-inl.h    |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/basic_file_sink.h        |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/msvc_sink.h              |   28 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/qt_sinks.h               |   22 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/rotating_file_sink-inl.h |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/rotating_file_sink.h     |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/sink-inl.h               |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/sink.h                   |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/stdout_color_sinks-inl.h |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/stdout_color_sinks.h     |    6 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/stdout_sinks-inl.h       |   24 -
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/stdout_sinks.h           |    4 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/systemd_sink.h           |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/tcp_sink.h               |    4 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/udp_sink.h               |    4 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/wincolor_sink-inl.h      |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/sinks/wincolor_sink.h          |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/spdlog-inl.h                   |    2 
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/spdlog.h                       |   67 +-
 RcppSpdlog-0.0.24/RcppSpdlog/inst/include/spdlog/version.h                      |    2 
 81 files changed, 752 insertions(+), 703 deletions(-)

More information about RcppSpdlog at CRAN
Permanent link

Package RcmdrMisc updated to version 2.10.1 with previous version 2.9-2 dated 2025-07-23

Title: R Commander Miscellaneous Functions
Description: Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Author: John Fox [aut], Manuel Munoz-Marquez [aut, cre], Robert Muenchen [ctb], Dan Putler [ctb]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrMisc versions 2.9-2 dated 2025-07-23 and 2.10.1 dated 2026-01-08

 RcmdrMisc-2.10.1/RcmdrMisc/DESCRIPTION                 |   22 
 RcmdrMisc-2.10.1/RcmdrMisc/MD5                         |  134 +--
 RcmdrMisc-2.10.1/RcmdrMisc/NAMESPACE                   |  157 ++-
 RcmdrMisc-2.10.1/RcmdrMisc/NEWS                        |    8 
 RcmdrMisc-2.10.1/RcmdrMisc/R/Barplot.R                 |   43 
 RcmdrMisc-2.10.1/RcmdrMisc/R/DeltaMethod.R             |   59 -
 RcmdrMisc-2.10.1/RcmdrMisc/R/Dotplot.R                 |   37 
 RcmdrMisc-2.10.1/RcmdrMisc/R/Percents.R                |  112 +-
 RcmdrMisc-2.10.1/RcmdrMisc/R/RcmdrMisc-package.R       |only
 RcmdrMisc-2.10.1/RcmdrMisc/R/bin.var.R                 |   76 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/binnedCounts.R            |   75 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/cluster.R                 |  123 ++
 RcmdrMisc-2.10.1/RcmdrMisc/R/cv.R                      |only
 RcmdrMisc-2.10.1/RcmdrMisc/R/discreteCounts.R          |   71 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/discretePlot.R            |   38 
 RcmdrMisc-2.10.1/RcmdrMisc/R/gumbel.R                  |   80 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/mergeRows.R               |   76 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/normalityTest.R           |  136 ++-
 RcmdrMisc-2.10.1/RcmdrMisc/R/numSummary.R              |   57 -
 RcmdrMisc-2.10.1/RcmdrMisc/R/partial.cor.R             |  157 ++-
 RcmdrMisc-2.10.1/RcmdrMisc/R/piechart.R                |   44 -
 RcmdrMisc-2.10.1/RcmdrMisc/R/plotBoot.R                |   90 +-
 RcmdrMisc-2.10.1/RcmdrMisc/R/plots.R                   |  738 ++++++++++-------
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 RcmdrMisc-2.10.1/RcmdrMisc/R/readSAS.R                 |   23 
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 RcmdrMisc-2.10.1/RcmdrMisc/R/readStata.R               |   25 
 RcmdrMisc-2.10.1/RcmdrMisc/R/readXL.R                  |   63 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/reliability.R             |   37 
 RcmdrMisc-2.10.1/RcmdrMisc/R/repeatedMeasuresPlot.R    |  320 ++++---
 RcmdrMisc-2.10.1/RcmdrMisc/R/reshapeL2W.R              |  133 +--
 RcmdrMisc-2.10.1/RcmdrMisc/R/reshapeW2L.R              |  139 ++-
 RcmdrMisc-2.10.1/RcmdrMisc/R/stepwise.R                |   82 +
 RcmdrMisc-2.10.1/RcmdrMisc/R/summarySandwich.R         |   75 +
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 RcmdrMisc-2.10.1/RcmdrMisc/man/discreteCounts.Rd       |   94 --
 RcmdrMisc-2.10.1/RcmdrMisc/man/discretePlot.Rd         |   88 +-
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 RcmdrMisc-2.10.1/RcmdrMisc/man/mergeRows.Rd            |   88 +-
 RcmdrMisc-2.10.1/RcmdrMisc/man/normalityTest.Rd        |   83 +
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 RcmdrMisc-2.10.1/RcmdrMisc/man/partial.cor.Rd          |   78 +
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 RcmdrMisc-2.10.1/RcmdrMisc/man/plotDistr.Rd            |   81 +
 RcmdrMisc-2.10.1/RcmdrMisc/man/plotMeans.Rd            |  137 +--
 RcmdrMisc-2.10.1/RcmdrMisc/man/rcorr.adjust.Rd         |  102 +-
 RcmdrMisc-2.10.1/RcmdrMisc/man/readSAS.Rd              |   40 
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 RcmdrMisc-2.10.1/RcmdrMisc/man/repeatedMeasuresPlot.Rd |  144 +--
 RcmdrMisc-2.10.1/RcmdrMisc/man/reshapeL2W.Rd           |   64 -
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 RcmdrMisc-2.9-2/RcmdrMisc/man/gumbel.Rd                |only
 72 files changed, 3533 insertions(+), 2411 deletions(-)

More information about RcmdrMisc at CRAN
Permanent link

Package pyinit updated to version 1.1.5 with previous version 1.1.4 dated 2025-12-03

Title: Pena-Yohai Initial Estimator for Robust S-Regression
Description: Deterministic Pena-Yohai initial estimator for robust S estimators of regression. The procedure is described in detail in Pena, D., & Yohai, V. (1999) <doi:10.2307/2670164>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

Diff between pyinit versions 1.1.4 dated 2025-12-03 and 1.1.5 dated 2026-01-08

 DESCRIPTION      |    8 ++++----
 MD5              |    8 ++++----
 NEWS.md          |    2 ++
 src/Makevars     |    2 +-
 src/Makevars.win |    1 -
 5 files changed, 11 insertions(+), 10 deletions(-)

More information about pyinit at CRAN
Permanent link

Package parallelly updated to version 1.46.1 with previous version 1.46.0 dated 2025-12-12

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.46.0 dated 2025-12-12 and 1.46.1 dated 2026-01-08

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More information about parallelly at CRAN
Permanent link

Package paletteer updated to version 1.7.0 with previous version 1.6.0 dated 2024-01-21

Title: Comprehensive Collection of Color Palettes
Description: The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This packages aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
Author: See AUTHORS file. [aut], Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

Diff between paletteer versions 1.6.0 dated 2024-01-21 and 1.7.0 dated 2026-01-08

 paletteer-1.6.0/paletteer/R/paletteer.R                                                       |only
 paletteer-1.7.0/paletteer/DESCRIPTION                                                         |   36 
 paletteer-1.7.0/paletteer/LICENSE.note                                                        |   28 
 paletteer-1.7.0/paletteer/MD5                                                                 |  221 
 paletteer-1.7.0/paletteer/NAMESPACE                                                           |    3 
 paletteer-1.7.0/paletteer/NEWS.md                                                             |   11 
 paletteer-1.7.0/paletteer/R/aaa.R                                                             |   20 
 paletteer-1.7.0/paletteer/R/completeme.R                                                      |   33 
 paletteer-1.7.0/paletteer/R/data.R                                                            |   13 
 paletteer-1.7.0/paletteer/R/ggplot2_scales_binned.R                                           |   27 
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 paletteer-1.7.0/paletteer/R/paletteer_d.R                                                     |   27 
 paletteer-1.7.0/paletteer/R/paletteer_dynamic.R                                               |   15 
 paletteer-1.7.0/paletteer/R/sysdata.rda                                                       |binary
 paletteer-1.7.0/paletteer/README.md                                                           |  179 
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 paletteer-1.7.0/paletteer/man/palettes_c_names.Rd                                             |    4 
 paletteer-1.7.0/paletteer/man/palettes_d.Rd                                                   |    4 
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 paletteer-1.7.0/paletteer/tests/testthat/test-ggplot2_scales_binned.R                         |    6 
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 paletteer-1.7.0/paletteer/tests/testthat/test-ggplot2_scales_discrete.R                       |   66 
 paletteer-1.7.0/paletteer/tests/testthat/test-paletteer_c.R                                   |    9 
 paletteer-1.7.0/paletteer/tests/testthat/test-paletteer_d.R                                   |   14 
 paletteer-1.7.0/paletteer/tests/testthat/test-paletteer_dynamic.R                             |   16 
 paletteer-1.7.0/paletteer/tests/testthat/test-vdiffr_palette_check.R                          |   62 
 117 files changed, 39547 insertions(+), 36310 deletions(-)

More information about paletteer at CRAN
Permanent link

Package mutoss updated to version 0.1-14 with previous version 0.1-13 dated 2023-03-14

Title: Unified Multiple Testing Procedures
Description: Designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying 'mutossGUI'.
Author: MuToss Coding Team [aut] , Gilles Blanchard [aut], Thorsten Dickhaus [aut], Niklas Hack [aut], Frank Konietschke [aut], Kornelius Rohmeyer [aut, cre], Jonathan Rosenblatt [aut], Marsel Scheer [aut], Wiebke Werft [aut]
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

Diff between mutoss versions 0.1-13 dated 2023-03-14 and 0.1-14 dated 2026-01-08

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More information about mutoss at CRAN
Permanent link

Package mmrm updated to version 0.3.17 with previous version 0.3.16 dated 2025-12-09

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre] , Liming Li [aut] , Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leib [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

Diff between mmrm versions 0.3.16 dated 2025-12-09 and 0.3.17 dated 2026-01-08

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Package MBESS updated to version 4.9.42 with previous version 4.9.41 dated 2025-07-25

Title: The MBESS R Package
Description: Implements methods that are useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but MBESS became more general and now contains methods applicable and used in a wide variety of fields and [...truncated...]
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

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Package manymome updated to version 0.3.3 with previous version 0.3.2 dated 2025-12-14

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Rong Wei Sun [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package later updated to version 1.4.5 with previous version 1.4.4 dated 2025-08-27

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut] , Joe Cheng [aut], Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package lamW updated to version 2.2.6 with previous version 2.2.5 dated 2025-07-08

Title: Lambert-W Function
Description: Implements both real-valued branches of the Lambert-W function (Corless et al, 1996) <doi:10.1007/BF02124750> without the need for installing the entire GSL.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package HighFive updated to version 3.3.0 with previous version 3.2.0 dated 2025-10-11

Title: The 'HighFive' 'C++' Interface to 'HDF5'
Description: A modern idiomatic header-only 'C++'' interface for 'libhdf5'. Original software can be found at <https://github.com/highfive-devs/highfive/>.
Author: Andrew Robbins [aut, cre] , Luc Grosheintz [aut] , Blue Brain Project/EPFL [aut]
Maintainer: Andrew Robbins <robbiand@umich.edu>

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Package ggimage updated to version 0.3.5 with previous version 0.3.4 dated 2025-08-24

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [ctb] , Yonghe Xia [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package fuzzySim updated to version 4.46 with previous version 4.38 dated 2025-10-14

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package econid updated to version 0.0.3 with previous version 0.0.2 dated 2025-07-07

Title: Economic Entity Identifier Standardization
Description: Provides utility functions for standardizing economic entity (economy, aggregate, institution, etc.) name and id in economic datasets such as those published by the International Monetary Fund and World Bank. Aims to facilitate consistent data analysis, reporting, and joining across datasets. Used as a foundational building block in the 'EconDataverse' family of packages (<https://www.econdataverse.org>).
Author: L. Teal Emery [cre], Christopher C. Smith [aut], Christoph Scheuch [ctb], Teal Insights [cph]
Maintainer: L. Teal Emery <lte@tealinsights.com>

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Package CodelistGenerator updated to version 4.0.1 with previous version 4.0.0 dated 2025-12-17

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marta Alcalde-Herraiz [aut] , Marti Catala [aut] , Xihang Chen [aut] , Nuria Mercade-Besora [aut] , Mike Du [aut] , Danielle Newby [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package ClimProjDiags updated to version 0.3.5 with previous version 0.3.4 dated 2025-09-01

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices. The package makes use of some of the methods described in: N. Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>.
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut] , An-Chi Ho [ctb], Victoria Agudetse [cre], Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb], Eva Rifa [ctb], Ulrich Drepper [ctb], David Bronaugh [ctb], James Hiebert [ctb]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

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Package uptasticsearch updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-24

Title: Get Data Frame Representations of 'Elasticsearch' Results
Description: 'Elasticsearch' is an open-source, distributed, document-based datastore (<https://www.elastic.co/products/elasticsearch>). It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that 'API' was not designed for common data science workflows like pulling large batches of records and normalizing those documents into a data frame that can be used as a training dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch' that is explicitly designed to make these data science workflows easy and fun.
Author: James Lamb [aut, cre], Nick Paras [aut], Austin Dickey [aut], Michael Frasco [ctb], Weiwen Gu [ctb], Will Dearden [ctb], Uptake Technologies Inc. [cph]
Maintainer: James Lamb <jaylamb20@gmail.com>

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Package rtpcr updated to version 2.1.1 with previous version 2.1.0 dated 2025-12-19

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-tests, ANOVA, ANCOVA, repeated-measures models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

Diff between rtpcr versions 2.1.0 dated 2025-12-19 and 2.1.1 dated 2026-01-08

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More information about rtpcr at CRAN
Permanent link

Package LLMing updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-21

Title: Large Language Model (LLM) Tools for Psychological Text Analysis
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) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>

Diff between LLMing versions 1.0.0 dated 2025-10-21 and 1.1.0 dated 2026-01-08

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More information about LLMing at CRAN
Permanent link


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