Tue, 13 Oct 2026

Package paramDemo updated to version 1.0.3 with previous version 1.0.2 dated 2025-01-16

Title: Parametric and Non-Parametric Demographic Functions and Applications
Description: Calculate parametric mortality and Fertility models, following packages 'BaSTA' in Colchero, Jones and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and 'BaFTA' <https://github.com/fercol/BaFTA>, summary statistics (e.g. ageing rates, life expectancy, lifespan equality, etc.), life table and product limit estimators from census data.
Author: Fernando Colchero [aut, cre]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>

Diff between paramDemo versions 1.0.2 dated 2025-01-16 and 1.0.3 dated 2026-10-13

 DESCRIPTION              |   12 ++--
 MD5                      |   10 +--
 R/paramDemo.R            |  126 +++++++++++++++++++++++++++++++++++++++++------
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 6 files changed, 135 insertions(+), 32 deletions(-)

More information about paramDemo at CRAN
Permanent link

Package checktor updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-02

Title: Extra CRAN Submission Checks
Description: Provides automated checks for common Comprehensive R Archive Network (CRAN) submission issues that are not caught by standard 'R CMD check'. Consolidates ad-hoc requirements that CRAN reviewers enforce but standard checks do not surface, helping R package maintainers identify and fix issues before submission to reduce rejection rates. Covers code-pattern issues, DESCRIPTION-field formatting, documentation problems, and general package structure concerns.
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>

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Package CoRpower updated to version 1.0.5 with previous version 1.0.4 dated 2020-11-17

Title: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials
Description: Calculates power for assessment of intermediate biomarker responses as correlates of risk in the active treatment group in clinical efficacy trials, as described in Gilbert, Janes, and Huang, Power/Sample Size Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials (2016, Statistics in Medicine). The methods differ from past approaches by accounting for the level of clinical treatment efficacy overall and in biomarker response subgroups, which enables the correlates of risk results to be interpreted in terms of potential correlates of efficacy/protection. The methods also account for inter-individual variability of the observed biomarker response that is not biologically relevant (e.g., due to technical measurement error of the laboratory assay used to measure the biomarker response), which is important because power to detect a specified correlate of risk effect size is heavily affected by the biomarker's measurement error. The methods can be used for a general binar [...truncated...]
Author: Stephanie Wu [aut], Michal Juraska [aut, cre], Peter Gilbert [aut], Yunda Huang [aut], Sebastien Haneuse [ctb, cph] code from the osDesign package), Takumi Saegusa [ctb, cph] code from the osDesign package), Nilanjan Chatterjee [ctb, cph] code fro [...truncated...]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

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Package seminr updated to version 2.6.0 with previous version 2.5.0 dated 2026-05-25

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <seminrgroup@gmail.com>

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Package pssmooth updated to version 1.0.4 with previous version 1.0.3 dated 2020-11-18

Title: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers
Description: Implements estimation and testing procedures for evaluating an intermediate biomarker response as a principal surrogate of a clinical response to treatment (i.e., principal stratification effect modification analysis), as described in Juraska M, Huang Y, and Gilbert PB (2020), Inference on treatment effect modification by biomarker response in a three-phase sampling design, Biostatistics, 21(3): 545-560 <doi:10.1093/biostatistics/kxy074>. The methods avoid the restrictive 'placebo structural risk' modeling assumption common to past methods and further improve robustness by the use of nonparametric kernel smoothing for biomarker density estimation. A randomized controlled two-group clinical efficacy trial is assumed with an ordered categorical or continuous univariate biomarker response measured at a fixed timepoint post-randomization and with a univariate baseline surrogate measure allowed to be observed in only a subset of trial participants with an observed biomarker response ( [...truncated...]
Author: Michal Juraska [aut, cre], Sebastien Haneuse [ctb, cph] code from the osDesign package), Takumi Saegusa [ctb, cph] code from the osDesign package), Nilanjan Chatterjee [ctb, cph] code from the osDesign package), Norman Breslow [ctb, cph] code fro [...truncated...]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

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Package torchvision updated to version 0.10.0 with previous version 0.9.0 dated 2026-04-22

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and its API borrows heavily from the 'PyTorch' vision package.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], Christophe Regouby [ctb], Akanksha Koshti [ctb], Derrick Richard [ctb], ANAMASGARD [ctb], Chandraveer Singh [ctb], Srishti Dutta [ctb], Sebastian Fischer [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package streamMOA updated to version 1.4.0 with previous version 1.3-1 dated 2024-04-20

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph] , John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between streamMOA versions 1.3-1 dated 2024-04-20 and 1.4.0 dated 2026-10-13

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Package rEMM updated to version 1.2.3 with previous version 1.2.1 dated 2024-04-21

Title: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of the Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. It also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Author: Michael Hahsler [aut, cre, cph] , Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between rEMM versions 1.2.1 dated 2024-04-21 and 1.2.3 dated 2026-10-13

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Package qlcal updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-21

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.1.3 dated 2026-07-21 and 0.1.4 dated 2026-10-13

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Package margEVT updated to version 0.4.0 with previous version 0.3.0 dated 2026-09-23

Title: Regularized Point Processes and Stochastic Marginalization for Extremes
Description: Implements a non-stationary extreme value analysis framework by coupling a covariate-driven non-homogeneous Poisson process (NHPP) with (adaptive) elastic-net regularization and analytical gradients. Provides methods for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over stable vector autoregressive VAR(p) covariate trajectories, or non-parametric annual-block resampling. Supports block-specific penalty controls, BIC selection along a regularization path, Karush-Kuhn-Tucker convergence checks, time-rescaling residual diagnostics, conditional parametric bootstrap inference, and walk-forward assessment.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

Diff between margEVT versions 0.3.0 dated 2026-09-23 and 0.4.0 dated 2026-10-13

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Package EZbakR updated to version 0.2.2 with previous version 0.1.0 dated 2025-12-10

Title: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
Description: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>). Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends standard NR-seq standard NR-seq mutational modeling to support multi-label analyses (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. 'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, 'EZbakR' implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling.
Author: Isaac Vock [aut, cre, cph]
Maintainer: Isaac Vock <isaac.vock@gmail.com>

Diff between EZbakR versions 0.1.0 dated 2025-12-10 and 0.2.2 dated 2026-10-13

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Package BUCSS updated to version 2.0.0 with previous version 1.2.1 dated 2020-08-25

Title: Bias and Uncertainty Corrected Sample Size
Description: Implements sample size planning for a future study from the summary statistics of a prior study, correcting the prior effect for publication bias and uncertainty so the planned study attains its target statistical power more reliably than methods that take a sample effect size at face value. Planners cover the one-sample, paired, independent, and Welch t tests; between-subjects analysis of variance and covariance; within-subjects and split-plot analysis of variance; a regression coefficient, the squared multiple correlation, and a subset of predictors; the Pearson correlation; a two-group multivariate comparison; and the chi square difference between nested models. The regression planners can treat the predictors as fixed or as sampled, the within-subjects and split-plot planners accept a sphericity correction, and each plan reports the effect size it is built on. A simulation function audits how often a plan attains its target power. The method is described in Anderson, Kelley, and Ma [...truncated...]
Author: Ken Kelley [aut, cre] , Samantha F. Anderson [aut] , Scott E. Maxwell [aut]
Maintainer: Ken Kelley <kkelley@nd.edu>

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Package rsynthbio updated to version 4.2.1 with previous version 4.2.0 dated 2026-06-12

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

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Package rjdmarkdown updated to version 0.2.3 with previous version 0.2.2 dated 2023-10-04

Title: 'rmarkdown' Extension for Formatted 'RJDemetra' Outputs
Description: Functions to have nice 'rmarkdown' outputs of the seasonal and trading day adjustment models made with 'RJDemetra'.
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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More information about rjdmarkdown at CRAN
Permanent link

Package webchem updated to version 2.0.0 with previous version 1.3.1 dated 2025-07-16

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.
Author: Eduard Szoecs [aut], Robert Allaway [ctb], Daniel Muench [ctb], Johannes Ranke [ctb], Andreas Scharmueller [ctb], Eric R Scott [ctb], Jan Stanstrup [ctb], Joao Vitor F Cavalcante [ctb], Gordon Getzinger [ctb], Ethan Bass [ctb], Tamas Stirling [ctb, cre [...truncated...]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

Diff between webchem versions 1.3.1 dated 2025-07-16 and 2.0.0 dated 2026-10-13

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Package tram updated to version 1.4-7 with previous version 1.4-6 dated 2026-10-01

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package lambda.r updated to version 1.2.6 with previous version 1.2.4 dated 2019-09-18

Title: Modeling Data with Functional Programming
Description: A language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety.
Author: Brian Lee Yung Rowe [aut, cre]
Maintainer: Brian Lee Yung Rowe <r@zatonovo.com>

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Permanent link

Package flowcluster updated to version 0.2.2 with previous version 0.2.1 dated 2025-08-21

Title: Cluster Origin-Destination Flow Data
Description: Provides functionality for clustering origin-destination (OD) pairs, representing desire lines (or flows). This includes creating distance matrices between OD pairs and passing distance matrices to a clustering algorithm. See the academic paper Tao and Thill (2016) <doi:10.1111/gean.12100> for more details on spatial clustering of flows. See the paper on delineating demand-responsive operating areas by Mahfouz et al. (2025) <doi:10.1016/j.urbmob.2025.100135> for an example of how this package can be used to cluster flows for applied transportation research.
Author: Hussein Mahfouz [aut, cre] , Robin Lovelace [aut]
Maintainer: Hussein Mahfouz <husseinmahfouz93@gmail.com>

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Permanent link

Package fields updated to version 18.0 with previous version 17.3 dated 2026-05-05

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get star [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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More information about fields at CRAN
Permanent link

Package tidyrates updated to version 0.0.2 with previous version 0.0.1 dated 2024-03-19

Title: Tidy Epidemiological Rates
Description: Compute age-adjusted rates by direct and indirect methods and other epidemiological indicators in a tidy way, using internal statistical calculations.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>

Diff between tidyrates versions 0.0.1 dated 2024-03-19 and 0.0.2 dated 2026-10-13

 DESCRIPTION                             |   16 ++++++++-------
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More information about tidyrates at CRAN
Permanent link

Package RColetum updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-21

Title: Access your Coletum's Data from API
Description: Get your data (forms, structures, answers) from Coletum <https://coletum.com> to handle and analyse.
Author: Andre Smaniotto [aut, cre], Marcelo Magnani [aut], Rodrigo Sant'Ana [aut], GeoSapiens [cph, fnd]
Maintainer: Andre Smaniotto <smaniotto@geosapiens.com.br>

Diff between RColetum versions 1.1.0 dated 2026-08-21 and 1.2.0 dated 2026-10-13

 DESCRIPTION                               |    8 ++++----
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Permanent link

Package nlmixr2est updated to version 7.2.0 with previous version 7.1.0 dated 2026-09-20

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Wenping Wang [aut], Audrey Lavenu [ctb], Ben Goodrich [ctb], David Ardia [cph], Dirk Eddelbuettel [cph], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Hadley Wickham [ctb], Hajar Besbassi [ctb], Hidde van de Beek [ctb], [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 7.1.0 dated 2026-09-20 and 7.2.0 dated 2026-10-13

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 nlmixr2est-7.1.0/nlmixr2est/src/slice.cpp                                                  |only
 nlmixr2est-7.2.0/nlmixr2est/DESCRIPTION                                                    |   20 
 nlmixr2est-7.2.0/nlmixr2est/MD5                                                            |  499 
 nlmixr2est-7.2.0/nlmixr2est/NAMESPACE                                                      |   21 
 nlmixr2est-7.2.0/nlmixr2est/NEWS.md                                                        | 1406 ++
 nlmixr2est-7.2.0/nlmixr2est/R/RcppExports.R                                                |  202 
 nlmixr2est-7.2.0/nlmixr2est/R/addCwres.R                                                   |   12 
 nlmixr2est-7.2.0/nlmixr2est/R/agq.R                                                        |   76 
 nlmixr2est-7.2.0/nlmixr2est/R/augPred.R                                                    |   67 
 nlmixr2est-7.2.0/nlmixr2est/R/bobyqa.R                                                     |  113 
 nlmixr2est-7.2.0/nlmixr2est/R/broom.R                                                      |    2 
 nlmixr2est-7.2.0/nlmixr2est/R/complete.R                                                   |    1 
 nlmixr2est-7.2.0/nlmixr2est/R/cov.R                                                        |  721 -
 nlmixr2est-7.2.0/nlmixr2est/R/covControl.R                                                 |  138 
 nlmixr2est-7.2.0/nlmixr2est/R/covPrecursor.R                                               |only
 nlmixr2est-7.2.0/nlmixr2est/R/covRecompute.R                                               |  194 
 nlmixr2est-7.2.0/nlmixr2est/R/covSelect.R                                                  |only
 nlmixr2est-7.2.0/nlmixr2est/R/covStore.R                                                   |only
 nlmixr2est-7.2.0/nlmixr2est/R/deparse.R                                                    |  181 
 nlmixr2est-7.2.0/nlmixr2est/R/emviControl.R                                                |   50 
 nlmixr2est-7.2.0/nlmixr2est/R/fo.R                                                         |   76 
 nlmixr2est-7.2.0/nlmixr2est/R/foce.R                                                       |   74 
 nlmixr2est-7.2.0/nlmixr2est/R/focei.R                                                      |  836 +
 nlmixr2est-7.2.0/nlmixr2est/R/foceiControl.R                                               |  505 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCov.R                                                   |   28 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCovAnalytic.R                                           |  956 -
 nlmixr2est-7.2.0/nlmixr2est/R/foceiCovFdFull.R                                             |  161 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiGradAnalytic.R                                          | 1171 --
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLagOde.R                                                |only
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLagSens.R                                               |only
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLik.R                                                   |  165 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLinCmtAlagSens.R                                        |    7 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLinCmtCarryEligible.R                                   |    7 
 nlmixr2est-7.2.0/nlmixr2est/R/foceiLinCmtCarryPredCall.R                                   |    7 
 nlmixr2est-7.2.0/nlmixr2est/R/focep.R                                                      |   74 
 nlmixr2est-7.2.0/nlmixr2est/R/foi.R                                                        |   79 
 nlmixr2est-7.2.0/nlmixr2est/R/hook.R                                                       |   14 
 nlmixr2est-7.2.0/nlmixr2est/R/iagq.R                                                       |    6 
 nlmixr2est-7.2.0/nlmixr2est/R/ifoce.R                                                      |    5 
 nlmixr2est-7.2.0/nlmixr2est/R/ifocei.R                                                     |    5 
 nlmixr2est-7.2.0/nlmixr2est/R/ifocep.R                                                     |   65 
 nlmixr2est-7.2.0/nlmixr2est/R/ilaplace.R                                                   |    6 
 nlmixr2est-7.2.0/nlmixr2est/R/impmap.R                                                     |  323 
 nlmixr2est-7.2.0/nlmixr2est/R/impmapThetaSens.R                                            |   21 
 nlmixr2est-7.2.0/nlmixr2est/R/iov.R                                                        |   11 
 nlmixr2est-7.2.0/nlmixr2est/R/iterPrintControl.R                                           |    5 
 nlmixr2est-7.2.0/nlmixr2est/R/laplace.R                                                    |   77 
 nlmixr2est-7.2.0/nlmixr2est/R/lbfgsb3c.R                                                   |  173 
 nlmixr2est-7.2.0/nlmixr2est/R/magq.R                                                       |    6 
 nlmixr2est-7.2.0/nlmixr2est/R/mfoce.R                                                      |    5 
 nlmixr2est-7.2.0/nlmixr2est/R/mfocei.R                                                     |    5 
 nlmixr2est-7.2.0/nlmixr2est/R/mfocep.R                                                     |   65 
 nlmixr2est-7.2.0/nlmixr2est/R/mix.R                                                        |  242 
 nlmixr2est-7.2.0/nlmixr2est/R/mlaplace.R                                                   |    6 
 nlmixr2est-7.2.0/nlmixr2est/R/muRefControl.R                                               |  505 
 nlmixr2est-7.2.0/nlmixr2est/R/n1qn1.R                                                      |  126 
 nlmixr2est-7.2.0/nlmixr2est/R/newuoa.R                                                     |  113 
 nlmixr2est-7.2.0/nlmixr2est/R/nlm.R                                                        |  750 -
 nlmixr2est-7.2.0/nlmixr2est/R/nlmShared.R                                                  |  366 
 nlmixr2est-7.2.0/nlmixr2est/R/nlme.R                                                       |  150 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmeRxUiGet.R                                                |   64 
 nlmixr2est-7.2.0/nlmixr2est/R/nlminb.R                                                     |  159 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixr2.R                                                    |   12 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixr2Est.R                                                 |  163 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixr2_md5.R                                                |    2 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixr2global.R                                              |    1 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixr2output.R                                              |  161 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixrAddObjectiveFunction.R                                 |   35 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixrGrad.R                                                 |   37 
 nlmixr2est-7.2.0/nlmixr2est/R/nlmixrUpdateObject.R                                         |    9 
 nlmixr2est-7.2.0/nlmixr2est/R/nls.R                                                        |  539 
 nlmixr2est-7.2.0/nlmixr2est/R/nmObjGet.R                                                   |    2 
 nlmixr2est-7.2.0/nlmixr2est/R/nmObjGetEtaMat.R                                             |   73 
 nlmixr2est-7.2.0/nlmixr2est/R/nmObjHandle.R                                                |   66 
 nlmixr2est-7.2.0/nlmixr2est/R/npCommon.R                                                   |   24 
 nlmixr2est-7.2.0/nlmixr2est/R/npInner.R                                                    |   56 
 nlmixr2est-7.2.0/nlmixr2est/R/npde.R                                                       |    8 
 nlmixr2est-7.2.0/nlmixr2est/R/odeSwapVerify.R                                              |   15 
 nlmixr2est-7.2.0/nlmixr2est/R/ofv.R                                                        |  111 
 nlmixr2est-7.2.0/nlmixr2est/R/optim.R                                                      |  135 
 nlmixr2est-7.2.0/nlmixr2est/R/posthoc.R                                                    |   66 
 nlmixr2est-7.2.0/nlmixr2est/R/preProcessBoundedTransform.R                                 |   15 
 nlmixr2est-7.2.0/nlmixr2est/R/preProcessLinCmtOde.R                                        |  107 
 nlmixr2est-7.2.0/nlmixr2est/R/print.R                                                      |    8 
 nlmixr2est-7.2.0/nlmixr2est/R/priors.R                                                     |   13 
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 nlmixr2est-7.2.0/nlmixr2est/R/rxEvents.R                                                   |only
 nlmixr2est-7.2.0/nlmixr2est/R/saem.R                                                       | 1048 +
 nlmixr2est-7.2.0/nlmixr2est/R/saemControl.R                                                |  118 
 nlmixr2est-7.2.0/nlmixr2est/R/saemIov.R                                                    |   10 
 nlmixr2est-7.2.0/nlmixr2est/R/saemRxUiGet.R                                                |   82 
 nlmixr2est-7.2.0/nlmixr2est/R/saem_fit.R                                                   |  113 
 nlmixr2est-7.2.0/nlmixr2est/R/saem_fit_aux.R                                               |  167 
 nlmixr2est-7.2.0/nlmixr2est/R/sharedControl.R                                              |  146 
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Package Rtinycc updated to version 0.1.16 with previous version 0.1.15 dated 2026-07-25

Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Adam Dunkels [ctb] , Swedish Institute of Computer Science [cph] , Fabrice Bellard and TinyCC authors [cph] , Brian Lee Yung Rowe [ctb, cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rtinycc versions 0.1.15 dated 2026-07-25 and 0.1.16 dated 2026-10-13

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Package RQuantLib updated to version 0.4.29 with previous version 0.4.28 dated 2026-07-10

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.28 dated 2026-07-10 and 0.4.29 dated 2026-10-13

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More information about RQuantLib at CRAN
Permanent link

Package missingHE updated to version 1.6.2 with previous version 1.6.1 dated 2026-06-01

Title: Missing Cost Effectiveness Models
Description: Performs Bayesian cost-effectiveness analysis with missing outcome data. Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. The package allows to assess model convergence and summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre, cph]
Maintainer: Andrea Gabrio <a.gabrio@maastrichtuniversity.nl>

Diff between missingHE versions 1.6.1 dated 2026-06-01 and 1.6.2 dated 2026-10-13

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More information about missingHE at CRAN
Permanent link

Package junco updated to version 0.1.7 with previous version 0.1.6 dated 2026-05-10

Title: Create Common Tables and Listings Used in Clinical Trials
Description: Structure and formatting requirements for clinical trial table and listing outputs vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's table and listing shells, 'junco' provides functionality that is general and reusable. Major features include a) alternative and extended statistical analyses beyond what 'tern' supports for use in standard safety and efficacy tables, b) a robust production-grade Rich Text Format (RTF) and DOCX exporter for tables, listings and graphs, c) structural support for spanning column headers and risk difference columns in tables, and d) robust font-aware automatic column width algorithms for both listings and tables.
Author: Gabriel Becker [cre, aut] , Ilse Augustyns [aut], Paul Jenkins [aut], Daniel Hofstaedter [aut], Joseph Kovach [aut], David Munoz Tord [aut], Daniel Sabanes Bove [aut], Ezequiel Anokian [ctb], Renfei Mao [ctb], Mrinal Das [ctb], Wojciech Wojciak [ctb] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package DTEAssurance updated to version 1.3.0 with previous version 1.1.0 dated 2025-12-02

Title: Assurance Methods for Clinical Trials with a Delayed Treatment Effect
Description: Provides functions for planning clinical trials subject to a delayed treatment effect using assurance-based methods. Includes two 'shiny' applications for interactive exploration, simulation, and visualisation of trial designs and outcomes. The methodology is described in: Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Assurance methods for designing a clinical trial with a delayed treatment effect" <doi:10.1002/sim.10136>, Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Adaptive clinical trial design with delayed treatment effects using elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.
Author: James Salsbury [aut, cre]
Maintainer: James Salsbury <jsalsbury1@sheffield.ac.uk>

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Package seminrExtras updated to version 1.0.4 with previous version 1.0.3 dated 2026-08-19

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <seminrgroup@gmail.com>

Diff between seminrExtras versions 1.0.3 dated 2026-08-19 and 1.0.4 dated 2026-10-13

 DESCRIPTION                                   |    9 
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Package insight updated to version 1.6.0 with previous version 1.5.4 dated 2026-09-05

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between insight versions 1.5.4 dated 2026-09-05 and 1.6.0 dated 2026-10-13

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Package contfrac updated to version 1.1-13 with previous version 1.1-12 dated 2018-05-17

Title: Continued Fractions
Description: Various utilities for evaluating continued fractions.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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New package sds with initial version 0.3.0
Package: sds
Title: Spatial Data Sources
Version: 0.3.0
Description: Descriptions of spatial data sources that can be read directly with or without download. Most sources are readable by 'GDAL' software. There are functions for imagery, elevation, and a variety of easily accessible data streams including image tile servers, links to online files, and geographic data services.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/hypertidy/sds
BugReports: https://github.com/hypertidy/sds/issues
Imports: countrycode, dsn (>= 0.1.0), tibble
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-01 09:16:36 UTC; mdsumner
Author: Michael Sumner [aut, cre, cph]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:50:02 UTC

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Package SCAtools updated to version 0.5.1 with previous version 0.4.3 dated 2026-09-18

Title: Direction-Aware Sufficient Condition Analysis
Description: Tests whether a high or low level of a condition is enough to guarantee a high or low level of an outcome. Such a claim predicts that one corner of the condition-outcome scatter plot is empty of observations. The package estimates the boundary of that empty corner, its size as a share of the scope (the effect size), a permutation test against random pairing, and a threshold table giving the condition level that guarantees each outcome level, in actual units, percentages, percentiles or standard deviations. Each of the four directions (high or low condition, high or low outcome) is stated as a claim and mapped to its empty corner. Because a condition can rule out low outcomes while barely moving the average, results can be set beside ordinary least-squares and median regression slopes, showing whether the data hold an average effect, a sufficiency effect or both. Also provides plots, influential-case diagnostics, scope-sensitivity and resampling checks, random-data generation and power [...truncated...]
Author: Young Chan [aut, cre]
Maintainer: Young Chan <youngchanresearcher@gmail.com>

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New package sampleone with initial version 0.1.0
Package: sampleone
Title: Survey Sampling Methods for Teaching and Practice
Version: 0.1.0
Description: Planning, selection, and estimation for surveys under the main probability sampling designs taught in introductory sampling courses: simple random sampling with and without replacement, stratified sampling (proportional, Neyman, and cost-based allocation), systematic sampling, one- and two-stage cluster sampling, and ratio and regression estimators. Functions accept a superset of the inputs a given formula requires and silently ignore arguments that are not needed for the selected computation. Each function returns a structured object with the point estimate, the associated variance and confidence interval, a step-by-step breakdown of the calculation, and a short pedagogical note suggesting related methods to explore, making the package suitable both for applied survey work and for classroom use. Methods follow Cochran (1977, ISBN:0-471-16240-X) and Bolfarine & Bussab (2005, ISBN:8521203675), among others referenced in each function's documentation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/mdelapi/sampleone
BugReports: https://github.com/mdelapi/sampleone/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-01 09:18:40 UTC; milap
Author: Miguel Luiz de Almeida Pinto [aut, cre], Mariano Martinez Espinosa [aut] this package implements)
Maintainer: Miguel Luiz de Almeida Pinto <phd20x@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 15:00:02 UTC

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New package rtemis.draw with initial version 0.5.3
Package: rtemis.draw
Title: Schema-Driven Interactive Charts, Network Graphs, and Maps
Version: 0.5.3
Date: 2026-09-28
Description: Create interactive statistical charts, network graphs and choropleth maps. Charts are rendered with the 'ECharts' 'JavaScript' library, networks with 'Sigma.js' and maps with 'MapLibre GL JS'. A high-level interface of plotting functions builds a complete visualization from data in a single call, while a low-level interface gives full control over every option. Both are based on the same type-checked and validated 'S7' configuration objects. Configurations can be saved to and restored from 'JSON' files, and each chart type has a published 'JSON Schema' that other interfaces can implement. Visualizations display as 'htmlwidgets' that automatically adapt to light and dark themes, work in 'R Markdown', 'Quarto' and 'shiny', and can be exported to Scalable Vector Graphics (SVG) files using 'Node.js'.
URL: https://www.rtemis.org, https://docs.rtemis.org/r/draw, https://docs.rtemis.org/r/draw-api
BugReports: https://github.com/rtemis-org/draw/issues
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
SystemRequirements: Node.js (>= 18) for optional SVG export
Depends: R (>= 4.4.0)
Imports: htmltools, htmlwidgets, jsonlite, rtemis.core (>= 0.4.6), S7, signal, stats, tools, utils, viridisLite
Suggests: data.table, jsonvalidate (>= 1.5.0), mgcv, pROC, rmarkdown, rtemis, rtemis.a3, shiny, survival, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-01 00:39:52 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:10:02 UTC

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New package pnotp with initial version 0.1.0
Package: pnotp
Title: Client for the 'PnotP' Platform
Version: 0.1.0
Description: Access the 'PnotP' platform <https://pnotp.ai> from R and 'RStudio'. One account API key drives data-compliant large language model chat, where every response carries a retention receipt; model training with pause, resume and cancel; model deployments and live inference; and hosted agents. Includes 'RStudio' addins to chat with the language model from the IDE, and a bridge to 'ellmer' for tool calling and streaming.
License: MIT + file LICENSE
URL: https://pnotp.ai, https://docs.pnotp.ai
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), curl, graphics, httr2 (>= 1.1.0), jsonlite, rlang (>= 1.1.0), rstudioapi, utils
Suggests: ellmer (>= 0.4.0), miniUI, shiny, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-01 03:14:04 UTC; root
Author: Vicente Alonso Gallardo Montalva [aut, cre], PnotP [cph, fnd]
Maintainer: Vicente Alonso Gallardo Montalva <vicente@pnotp.ai>
Repository: CRAN
Date/Publication: 2026-10-13 14:30:02 UTC

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Package pipeflow updated to version 0.5.0 with previous version 0.4.0 dated 2026-09-27

Title: Fast Interactive Data Analysis Pipelines
Description: A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and 'pipeflow' wires them into a pipeline that stays consistent as you go. Modify, remove, or insert steps at any stage, manage all parameters in one place, fast execution (C++-powered DAG) for interactive use and Shiny backends.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

Diff between pipeflow versions 0.4.0 dated 2026-09-27 and 0.5.0 dated 2026-10-13

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Package morse updated to version 3.6.0 with previous version 3.3.5 dated 2026-01-14

Title: Modelling Reproduction and Survival Data in Ecotoxicology
Description: Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of survival and reproduction Data. Among others, it facilitates Bayesian inference of the general unified threshold model of survival (GUTS). See our companion paper Baudrot and Charles (2021) <doi:10.21105/joss.03200>, as well as complementary details in Baudrot et al. (2018) <doi:10.1021/acs.est.7b05464> and Delignette-Muller et al. (2017) <doi:10.1021/acs.est.6b05326>.
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [ctb], Alexander Singer [ [...truncated...]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

Diff between morse versions 3.3.5 dated 2026-01-14 and 3.6.0 dated 2026-10-13

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New package GreenManureR with initial version 0.1.0
Package: GreenManureR
Title: Green Manure Decomposition, Nutrient Release and Crop Response
Version: 0.1.0
Description: Tools for analysing green manure and cover crop experiments, for example with Mucuna, sunhemp and dhaincha. Fits single-pool, double-pool and asymptotic litterbag decomposition models and ranks them by the corrected Akaike information criterion, estimates the time to 50 percent mass loss with Monte-Carlo confidence intervals, and quantifies nitrogen, phosphorus, potassium and other nutrient release over time. Further functions compute nutrient inputs, crop uptake, apparent nitrogen recovery and fertilizer nitrogen replacement value, estimate residual effects of green manures on succeeding kharif and rabi crops, link decomposition, nutrient release and crop response in a joint analysis, and generate standardized tables, diagnostic plots and a Word report.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, withr
Suggests: ggplot2, officer, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-01 09:25:45 UTC; root
Author: Anbukkani Perumal [aut, cre, cph], Ramachandran S [aut, cph]
Maintainer: Anbukkani Perumal <anbueconomic@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 15:00:18 UTC

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New package epidist with initial version 1.0.0
Package: epidist
Title: Estimate Epidemiological Delay Distributions with 'brms'
Version: 1.0.0
Description: Understanding and accurately estimating epidemiological delay distributions is important for public health policy. These estimates influence epidemic situational awareness, control strategies, and resource allocation. This package provides methods to address the key challenges in estimating these distributions, including truncation, interval censoring, and dynamical biases, following Park et al. (2024) <doi:10.1101/2024.01.12.24301247> and Charniga et al. (2024) <doi:10.1371/journal.pcbi.1012520>. These issues are frequently overlooked, resulting in biased conclusions. Built on top of 'brms', it allows for flexible modelling including time-varying and spatial effects and partially pooled estimates of demographic characteristics.
License: MIT + file LICENSE
URL: https://epidist.epinowcast.org/, https://github.com/epinowcast/epidist/
BugReports: https://github.com/epinowcast/epidist/issues/
Depends: R (>= 4.1.0)
Imports: brms (>= 2.23.0), checkmate, cli, dplyr, lubridate, primarycensored (>= 1.6.0), purrr, rstan (>= 2.26.0), stats, tibble, tidyr, utils
Suggests: MASS, bayesplot, bookdown, collapse, distspec (>= 0.2.0), flexsurv, ggplot2, knitr, loo, marginaleffects, patchwork, posterior, priorsense, reformulas, roxyglobals, scales, spelling, testthat (>= 3.0.0), tidybayes, withr
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-29 18:46:17 UTC; lshsa2
Author: Adam Howes [aut] , Sang Woo Park [aut] , Sam Abbott [aut, cre, cph] , Sebastian Funk [ctb]
Maintainer: Sam Abbott <contact@samabbott.co.uk>
Repository: CRAN
Date/Publication: 2026-10-13 14:40:02 UTC

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New package apsimwise with initial version 0.1.0
Package: apsimwise
Title: Unified Access to the APSIMWISE Ecosystem
Version: 0.1.0
Description: Provides a unified interface to R packages supporting the Agricultural Production Systems sIMulator (APSIM), crop modelling, weather analysis, and agricultural decision support. It simplifies installation and loading of related packages and provides consistent user-facing functions across multiple crop types.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: rapsimng (>= 0.6.0), rapsimng.wheat (>= 0.1.0), rapsimng.lupin (>= 0.1.0), rapsimng.chickpea (>= 0.1.0), rapsimng.fababean (>= 0.1.0), rapsimng.lentil (>= 0.1.0), rapsimng.canola (>= 0.1.0), tidyweather (>= 0.3.2)
Suggests: testthat (>= 3.0.0), dplyr, knitr, quarto, ggplot2
URL: https://apsimwise.bangyou.me/, https://github.com/byzheng/apsimwise
BugReports: https://github.com/byzheng/apsimwise/issues
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2026-10-01 08:19:48 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 14:50:13 UTC

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Package later2 (with last version 0.1) was removed from CRAN

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

2026-09-03 0.1

Permanent link
Package statMatchLCM updated to version 2.0 with previous version 1.2 dated 2026-05-15

Title: Statistical Matching Using Latent Class Models
Description: Provides a revised framework (1.2->2.0) for statistical matching of categorical data based on latent class models, including multiple imputation, predictive modeling, nearest-neighbour hot-deck matching, and probabilistic assignment of categorical target variables. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms.
Author: Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>

Diff between statMatchLCM versions 1.2 dated 2026-05-15 and 2.0 dated 2026-10-13

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Package pkgcheck updated to version 0.3.4 with previous version 0.3.3 dated 2026-10-06

Title: Package Checks for 'rOpenSci'
Description: Check whether a package is ready for submission to the 'rOpenSci' peer review system ('rOpenSci' authors (2026) <doi:10.5281/zenodo.2553043> "'rOpenSci' Packages: Development, Maintenance, and Peer Review"). Incorporates the 'goodpractice' package and many additional checks, including aspects related to maintenance of online public code repositories.
Author: Mark Padgham [aut, cre] , Maelle Salmon [aut], Jacob Wujciak-Jens [aut] , Kelli F. Johnson [ctb] , Eunseop Kim [aut] , Katrina Brock [ctb] , Andy Teucher [aut] , Eric R. Scott [aut]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between pkgcheck versions 0.3.3 dated 2026-10-06 and 0.3.4 dated 2026-10-13

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Package onewaytests updated to version 3.2 with previous version 3.1 dated 2025-07-22

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests for independent groups designs under homoscedasticity and heteroscedasticity. The tests described by Dag et al. (2018) <doi:10.32614/RJ-2018-022> include one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second-order test, and Kruskal-Wallis test. Additional tests described by Kasikci et al. (2026) <doi:10.32614/RJ-2026-014> include Scott-Smith test, Box F test, Johansen F test, generalized tests equivalent to parametric bootstrap and fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate F test, B square test, Cochran test, Weerahandi's generalized F test, modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test, Welch-Aspin test, and permutation F test. The package also provides pairwise comparisons and graphical methods, as well as Student's t test, Welch's t test, and M [...truncated...]
Author: Osman Dag [aut, cre], Merve Kasikci [aut], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [aut], Malwane Ananda [aut], H. Erkin Sulekli [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between onewaytests versions 3.1 dated 2025-07-22 and 3.2 dated 2026-10-13

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New package ldpdist with initial version 0.1.0
Package: ldpdist
Title: Local Differential Privacy Tools for Distributional Inference
Version: 0.1.0
Author: Yi Liu [aut, cre], Qirui Hu [aut]
Maintainer: Yi Liu <yliu42@yorku.ca>
Description: Estimates cumulative distribution functions and quantiles under local differential privacy. Provides binary and categorical randomization mechanisms, isotonic distribution estimators, and simulation interfaces for sequential quantile estimation with self-normalized inference and asymptotic confidence sequences. Distribution estimators operate on privatized reports; quantile interfaces simulate local randomization internally. Methods include the quantile procedure of Liu et al. (2023) <https://proceedings.mlr.press/v202/liu23q.html> and the distribution estimator of Liu, Hu and Kong (2024) <https://proceedings.mlr.press/v235/liu24z.html>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: openssl
NeedsCompilation: yes
Packaged: 2026-09-30 00:38:05 UTC; ldpdist
Repository: CRAN
Date/Publication: 2026-10-13 13:30:02 UTC

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New package foresightr with initial version 0.1.1
Package: foresightr
Title: Forecasts Chosen by What Would Have Worked
Version: 0.1.1
Description: Time series forecasting that replays the past before trusting a model: a rolling-origin backtest, Tashman (2000) <doi:10.1016/S0169-2070(00)00065-0>, refits every candidate at each origin, the choice is made by out-of-sample error, and prediction intervals are quantiles of the errors actually observed, for each horizon and for totals of the next periods. Models include seasonal ARIMA by exact maximum likelihood with automatic orders, Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>; exponential smoothing in state space form, Hyndman, Koehler, Snyder and Grose (2002) <doi:10.1016/S0169-2070(01)00110-8>; the Theta method, Assimakopoulos and Nikolopoulos (2000) <doi:10.1016/S0169-2070(00)00066-2>; a trend with changepoints and events in the manner of Taylor and Letham (2018) <doi:10.1080/00031305.2017.1380080>; TBATS, De Livera, Hyndman and Snyder (2011) <doi:10.1198/jasa.2011.tm09771>; seasonal-trend decompositions by LOESS for one or several s [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/foresightr, https://strategicprojects.github.io/foresightr/
BugReports: https://github.com/StrategicProjects/foresightr/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: ggplot2 (>= 3.5.0), stats, tibble, utils
Suggests: testthat (>= 3.0.0), jsonlite, knitr, rmarkdown
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.81
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-30 17:58:44 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , The authors of the dependency Rust crates [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-13 13:30:08 UTC

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Package tatooheene updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-15

Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/documenten/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
Author: Stijn Peeters [aut, cre] , Eline Krijkamp [aut] , Frederick Thielen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>

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Package smoots updated to version 1.1.5 with previous version 1.1.4 dated 2023-09-11

Title: Nonparametric Estimation of the Trend and Its Derivatives in TS
Description: The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>. The software itself is introduced in Feng, Y., Gries, T., Letmathe, S., and Schulz, D. (2022) <doi:10.32614/RJ-2022-017>.
Author: Yuanhua Feng [aut] , Sebastian Letmathe [aut] , Dominik Schulz [aut, cre] , Thomas Gries [ctb] , Marlon Fritz [ctb]
Maintainer: Dominik Schulz <dominik.schulz.r@gmail.com>

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Package psp updated to version 1.0.6 with previous version 1.0.5 dated 2026-01-15

Title: Parameter Space Partitioning MCMC for Global Model Evaluation
Description: Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Author: Lenard Dome [aut, cre], Andy Wills [aut]
Maintainer: Lenard Dome <lenarddome@gmail.com>

Diff between psp versions 1.0.5 dated 2026-01-15 and 1.0.6 dated 2026-10-13

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Package MTA updated to version 0.7.0 with previous version 0.6.0 dated 2023-10-31

Title: Multiscalar Territorial Analysis
Description: Build multiscalar territorial analysis based on various contexts.
Author: Ronan Ysebaert [aut] , Nicolas Lambert [aut] , Timothee Giraud [aut, cre]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package mlt updated to version 1.8-4 with previous version 1.8-3 dated 2026-10-06

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package cpop updated to version 1.0.10 with previous version 1.0.9 dated 2026-05-29

Title: Detection of Multiple Changes in Slope in Univariate Time-Series
Description: Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package oystermapR updated to version 1.6.0 with previous version 1.5.0 dated 2026-08-31

Title: Predict and Map Oyster Growth Suitability from Environmental Data
Description: Predicts spatial suitability for oyster growth from environmental survey data using rank-reciprocal weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a five-band 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports seventeen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and thirteen further species; see list_species(). Includes ocean acidification scoring via in-house aragonite saturation state (Omega_arag) calculation using Lueker et al. (2000) <doi:10.1016/S0304-4203(00)00022-0> and Mucci (1983) <doi:10.1357/002224083788520153> equilibrium constants (no external dependencies), variable impact diagnostics (variable_impact()), fine-scale habitat area analys [...truncated...]
Author: T Tucker [aut, cre]
Maintainer: T Tucker <tristantucker48@gmail.com>

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Package mevr updated to version 1.3.3 with previous version 1.1.1 dated 2024-06-30

Title: Fitting the Metastatistical Extreme Value Distribution MEVD
Description: Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.
Author: Harald Schellander [aut, cre] , Alexander Lieb [ctb] , Marc-Andre Falkensteiner [ctb]
Maintainer: Harald Schellander <harald.schellander@geosphere.at>

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Package jiebaRS updated to version 0.3.1 with previous version 0.3.0 dated 2026-08-26

Title: Chinese Text Segmentation, POS Tagging, and Keyword Extraction
Description: Provides fast Chinese text segmentation, keyword extraction via 'TF-IDF' and 'TextRank', and part-of-speech tagging, powered by a 'Rust' backend ('jieba-rs'). Supports custom dictionaries, user words, stop words, IDF files, and HMM models, with parallel batch processing of multiple strings. Serves as a modern, maintained replacement for the 'jiebaR' package.
Author: Hao Cheng [aut, cre, cph]
Maintainer: Hao Cheng <Yousa-Mirage@foxmail.com>

Diff between jiebaRS versions 0.3.0 dated 2026-08-26 and 0.3.1 dated 2026-10-13

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Package geomorphR updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-04

Title: Geometric Features and Footprint Comparison for 'sf' Objects
Description: Extracts reproducible geometric and urban-morphology descriptors from polygon and multipart polygon building footprints stored as 'sf' objects, including area, perimeter, compactness, shape, topology, convexity, orientation, and optional building-height and floor-area metrics. Compares polygon footprints across periods using the intersection-over-union (Jaccard) index (Jaccard, 1912) <doi:10.1111/j.1469-8137.1912.tb05611.x> to identify new constructions, potential demolitions, and footprint changes. Supports vector file formats readable by 'sf', including Shapefiles and GeoPackage (GPKG) vector files with named layers, optional boundary clipping, and reprojection to a common coordinate reference system. Returned 'sf' objects preserve source attributes and geometry for spatial analysis and downstream workflows, with optional parallel processing using 'future' for larger feature-extraction jobs.
Author: Jonathan Cohen [aut, cre]
Maintainer: Jonathan Cohen <cohen.jota@gmail.com>

Diff between geomorphR versions 0.1.0 dated 2026-10-04 and 0.2.0 dated 2026-10-13

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Package GenoTriplo updated to version 2.2.2 with previous version 2.2.1 dated 2026-07-28

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

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Package cepiweek updated to version 0.2.0 with previous version 0.1.2 dated 2026-02-19

Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a data frame. Weeks are computed as sequential 7-day intervals aligned to Mondays, starting from the earliest observed date or from a user-supplied start date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. Missing or non-convertible dates are returned as NA instead of stopping the computation. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required.
Author: Daniel Degina [aut, cre], Joel Mbuyi [ctb]
Maintainer: Daniel Degina <deginadan@gmail.com>

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Package tsfgrnn updated to version 1.0.6 with previous version 1.0.5 dated 2024-02-15

Title: Time Series Forecasting Using GRNN
Description: A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Author: Maria Pilar Frias-Bustamante [aut], Ana Maria Martinez-Rodriguez [aut], Antonio Conde-Sanchez [aut], Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package rxode2 updated to version 5.1.8 with previous version 5.1.7.1 dated 2026-09-29

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

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Package reportr updated to version 2.0.0 with previous version 1.3.1 dated 2025-03-29

Title: A General Message and Error Reporting System
Description: Provides a system for reporting messages, which provides certain useful features over the standard R system, such as the incorporation of output consolidation, message filtering, assertions, expression substitution, automatic generation of stack traces for debugging, and conditional reporting based on the current "output level". Messages are signalled as classed R conditions, so that calling code can decide how serious a situation is, rather than the function which detects it having to be told in advance.
Author: Jon Clayden [aut, cre]
Maintainer: Jon Clayden <code@clayden.org>

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Package pgt updated to version 0.7.1 with previous version 0.7.0 dated 2026-09-22

Title: Data Envelopment Analysis for Pollution-Generating Technologies
Description: Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability technology of Hampf and Rodseth (2015) <doi:10.1016/j.eneco.2015.04.001>, scored by the minimal-emission programme of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> with its directional representation and five-component decomposition, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with a pre-estimation audit of every materials-balance account, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling sensitivity intervals. Estimators are solved with 'lpSolveAPI'.
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>

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Package fasttreeid updated to version 1.1.0 with previous version 1.0.2 dated 2026-08-31

Title: Identifies Parameters in a Tree-Shaped SCM
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>

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Package wINEQ updated to version 1.2.3 with previous version 1.2.2 dated 2026-04-23

Title: Inequality Measures for Weighted Data
Description: Computes inequality measures of a given variable taking into account weights. Suitable for ratio, interval and ordered scale. Includes measures developed by Gini, Theil, Leti, Palma ratio, 20:20 ratio, Allison and Foster, Jenkins, Cowell and Flechaire, Abul Naga and Yalcin, Apouey, Blair and Lacy. Bootstrap provides distribution of inequality measures enabling significance tests.
Author: Sebastian Wojcik [aut, cre] , Agnieszka Giemza [aut], Jaroslaw Napora [aut]
Maintainer: Sebastian Wojcik <S.Wojcik@stat.gov.pl>

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Package tsfknn updated to version 0.7.1 with previous version 0.6.0 dated 2023-12-20

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows forecasting time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is univariate and autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package TrendSLR readmission to version 2.0.0 with previous version 1.0 dated 2019-08-07

Title: Estimating Trend, Velocity, and Acceleration from Sea Level Records
Description: Provides tools for analysing annual average ocean water level time series, estimating mean sea level trends, velocities, and accelerations using Singular Spectrum Analysis (SSA). The detailed methodology for resolving mean sea level with improved temporal resolution follows Watson (2018) "Improved Techniques to Estimate Mean Sea Level, Velocity and Acceleration from Long Ocean Water Level Time Series to Augment Sea Level (and Climate Change) Research" <https://unsworks.unsw.edu.au/entities/publication/5e835c87-aa0a-4457-807e-29d354e91d45>. Additional methodological developments and applications are described in Watson (2020) "Status of Mean Sea Level Rise around the USA" <doi:10.3390/geohazards2020005> and Watson and Lim (2020) "An Update on the Status of Mean Sea Level Rise around the Korean Peninsula" <doi:10.3390/atmos11111153>. Includes multiple gap-filling methods for incomplete records, diagnostic tools for inspecting SSA components, and plotting functions for g [...truncated...]
Author: Phil Watson [aut, cre]
Maintainer: Phil Watson <philwatson.slr@gmail.com>

This is a re-admission after prior archival of version 1.0 dated 2019-08-07

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Package ROCsurvcomp updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-11

Title: ROC-Based Methods for Comparing Survival Distributions with Right, Left, and Doubly Censored Data
Description: Implements nonparametric and semiparametric methods for comparing two survival distributions under non-proportional hazards (non-PH) with right, left, or doubly censored data. The methods are based on the Receiver Operating Characteristic (ROC) curve length and its kernel-based estimate (Bantis et al. (2021) <doi:10.1002/sim.8869>) and the overlap coefficient (OVL) and its kernel-based estimate (Schmid and Schmidt (2006) <doi:10.1016/j.csda.2005.01.014>), as well as a new joint inference approach involving both the kernel-based ROC length and the kernel-based OVL. These methods do not require prior knowledge of the underlying non-PH pattern. The methods also accommodate the "last is censored" phenomenon for right-censored data by using flexible parametric approaches only for the portion of the tail of the distribution that corresponds to time values beyond the last observed event (see also Bantis et al. (2017) <doi:10.1002/sim.7394>). The analogous "first is censored" [...truncated...]
Author: Mohammod Mahmudur Rahman [aut, cre], Leonidas Bantis [aut]
Maintainer: Mohammod Mahmudur Rahman <mahmudur.asif13@gmail.com>

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Package ritalic updated to version 0.13.1 with previous version 0.13.0 dated 2026-10-12

Title: Interface to the ITALIC Database of Lichen Biodiversity
Description: A programmatic interface to the Web Service methods provided by ITALIC (<https://italic.units.it>). ITALIC is a database of lichen data in Italy and bordering European countries. 'ritalic' includes functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits and identification keys. More information about the data is available at <https://italic.units.it/?procedure=base&t=59&c=60>. The API documentation is available at <https://italic.units.it/?procedure=api>.
Author: Matteo Conti [aut, cre] , Luana Francesconi [aut], Alice Musina [aut], Luca Di Nuzzo [aut], Gabriele Gheza [aut], Chiara Pistocchi [aut], Juri Nascimbene [aut], Pier Luigi Nimis [aut], Stefano Martellos [aut]
Maintainer: Matteo Conti <matt.ciao@gmail.com>

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Package Rdrw updated to version 1.0.6 with previous version 1.0.5 dated 2026-10-13

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently. Polynomial mean coefficients are handled conditionally within the Kalman recursion, reducing the dimension of numerical maximum likelihood optimization and permitting exact Gaussian conditional updates during Bayesian posterior sampling. Maximum likelihood estimation is computationally efficient and suitable for large-scale data analysis, while Bayesian posterior sampling is better suited to small-scale analyses requiring more careful uncertainty qua [...truncated...]
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

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Package rbridge updated to version 1.0.4 with previous version 1.0.3 dated 2026-10-11

Title: Restricted Bridge Estimation
Description: Implements bridge regression with linear coefficient restrictions using the local quadratic approximation described by Yuzbasi, Arashi and Akdeniz (2021) <doi:10.1007/s00500-021-05763-9>. Provides coefficient paths, cross-validation, prediction and coefficient extraction for restricted and unrestricted linear models.
Author: Bahadir Yuzbasi [aut, cre], Mohammad Arashi [aut], Fikri Akdeniz [aut], Jerome Friedman [ctb] , Trevor Hastie [ctb] , Robert Tibshirani [ctb]
Maintainer: Bahadir Yuzbasi <b.yzb@hotmail.com>

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Package mlumr updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-20

Title: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons
Description: Bayesian multilevel unanchored meta-regression (ML-UMR) for indirect treatment comparisons using individual patient data (IPD) and aggregate data (AgD). Implements shared prognostic factor assumption (SPFA) and relaxed SPFA models for binary, continuous, count, and time-to-event (survival) outcomes via 'Stan', including parametric and flexible M-spline survival baselines. Also provides a one-arm simulated treatment comparison (STC) via comparator-population G-computation and naive unadjusted benchmarks. ML-UMR is an adaptation of the ML-NMR methodology (Phillippo et al. 2020, <doi:10.1111/rssa.12579>) implemented in the 'multinma' package (GPL-3) to the unanchored two-trial case. The public API uses familiar names for data setup, integration and effect summaries, but ML-NMR and ML-UMR specifications and fitted objects are not interchangeable because their evidence structures and models differ.
Author: Ahmad Sofi-Mahmudi [aut, cre] , Conor Chandler [aut]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>

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Package HierPortfolios updated to version 1.1.0 with previous version 1.0.2 dated 2025-09-12

Title: Hierarchical Risk Clustering Portfolio Allocation Strategies
Description: Machine learning hierarchical risk clustering portfolio allocation strategies. The implemented methods are: Hierarchical risk parity (De Prado, 2016) <DOI: 10.3905/jpm.2016.42.4.059>. Hierarchical clustering-based asset allocation (Raffinot, 2017) <DOI: 10.3905/jpm.2018.44.2.089>. Hierarchical equal risk contribution portfolio (Raffinot, 2018) <DOI: 10.2139/ssrn.3237540>. A Constrained Hierarchical Risk Parity Algorithm with Cluster-based Capital Allocation (Pfitzingera and Katzke, 2019) <https://www.ekon.sun.ac.za/wpapers/2019/wp142019/wp142019.pdf>. Hierarchical Risk Budgeting (Koumou, 2024) <DOI: 10.3905/jfds.2024.1.156>.
Author: Carlos Trucios [aut, cre] , Moon Jun Kwon [aut], Sao Paulo Research Foundation , grants 2022/09122-0, 2025/06131-7 and 2025/08502-2 [fnd], Programa de Incentivo a Novos Docentes da UNICAMP , grant 2525/23 [fnd]
Maintainer: Carlos Trucios <ctrucios@unicamp.br>

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Package BAwiR updated to version 1.5.6 with previous version 1.5.5 dated 2026-09-25

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls, offensive rebounds and different types of shooting charts. Please see Vinue (202 [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package CopernicusMarine updated to version 0.5.0 with previous version 0.4.9 dated 2026-08-28

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package umx updated to version 4.80.1 with previous version 4.80.0 dated 2026-10-11

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Citations are: * Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>. * Luis F.S. Castro-de-Araujo, Nathan A. Gillespie, Michael C. Neale, and Timothy Charles Bates (2026). umx version 4.5: Extending Twin and Path-Based SEM in R with CLPM, MR-DoC, Definition Variables, Onyx Integration, and Censored Distributions. Twin Research and Human Genetics, 1-6. <doi:10.1017/thg.2026.10056>.
Author: Timothy C. Bates [aut, cre] , Luis De Araujo [ctb], Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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More information about umx at CRAN
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Package postlink readmission to version 0.1.2 with previous version 0.1.1 dated 2026-09-04

Title: Post-Linkage Data Analysis
Description: Provides a suite of statistical tools for post-linkage data analysis (PLDA), designed to account for record linkage errors in downstream modeling. The package implements a familiar, formula-based regression interface that adjusts for linkage uncertainty, accommodating workflows where direct access to unlinked primary files is restricted. It consolidates diverse adjustment methodologies, all of which support generalized linear models (linear, logistic, Poisson, and Gamma). These methodologies include weighting approaches (Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>; Chambers et al. (2023) <doi:10.1002/wics.1596>), mixture modeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>), and Bayesian mixture modeling (Gutman et al. (2016) <doi:10.1002/sim.6586>). For time-to-event data, both the weighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture modeling approaches accommodate Cox proportional hazards models, while the Bayesian appr [...truncated...]
Author: Priyanjali Bukke [aut, cre], Gauri Kamat [aut], Jiahao Cui [aut], Roee Gutman [aut], Martin Slawski [aut], Zhenbang Wang [ctb], Brady T. West [ctb], Emanuel Ben-David [ctb], Guoqing Diao [ctb]
Maintainer: Priyanjali Bukke <postlink.group@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2026-09-04

Diff between postlink versions 0.1.1 dated 2026-09-04 and 0.1.2 dated 2026-10-13

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More information about postlink at CRAN
Permanent link

Package oneway updated to version 0.0.3 with previous version 0.0.2 dated 2026-09-15

Title: One-Way Statistical Analyses
Description: Performs one-way tests of assumptions (normality and homoscedasticity), analysis of variance, robust and nonparametric alternatives, multiple comparison procedures, effect size estimators, confidence intervals, and descriptive summaries. Functions are designed with a consistent interface to support reproducible and user-friendly statistical workflows. For more details see Howell (2010, ISBN:978-0-495-59784-1), Zar (2014, ISBN:978-0-13-100846-5), Hollander et al. (2014, ISBN:978-0-470-38737-5), Montgomery (2017, ISBN:978-1-119-11347-8), Lakens (2013) <doi:10.3389/fpsyg.2013.00863>, and Piepho (2004) <doi:10.1198/1061860043515>.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

Diff between oneway versions 0.0.2 dated 2026-09-15 and 0.0.3 dated 2026-10-13

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Package basefun updated to version 1.2-7 with previous version 1.2-6 dated 2026-03-06

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between basefun versions 1.2-6 dated 2026-03-06 and 1.2-7 dated 2026-10-13

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Package Rdrw updated to version 1.0.5 with previous version 1.0.4 dated 2026-08-20

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently. Polynomial mean coefficients are handled conditionally within the Kalman recursion, reducing the dimension of numerical maximum likelihood optimization and permitting exact Gaussian conditional updates during Bayesian posterior sampling. Maximum likelihood estimation is computationally efficient and suitable for large-scale data analysis, while Bayesian posterior sampling is better suited to small-scale analyses requiring more careful uncertainty qua [...truncated...]
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

Diff between Rdrw versions 1.0.4 dated 2026-08-20 and 1.0.5 dated 2026-10-13

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Package pcaL1 updated to version 1.5.10 with previous version 1.5.9 dated 2025-05-03

Title: L1-Norm PCA Methods
Description: Implementations of several methods for principal component analysis using the L1 norm. The package depends on COIN-OR Clp version >= 1.17.4. The methods implemented are PCA-L1 (Kwak 2008) <DOI:10.1109/TPAMI.2008.114>, L1-PCA (Ke and Kanade 2003, 2005) <DOI:10.1109/CVPR.2005.309>, L1-PCA* (Brooks, Dula, and Boone 2013) <DOI:10.1016/j.csda.2012.11.007>, L1-PCAhp (Visentin, Prestwich and Armagan 2016) <DOI:10.1007/978-3-319-46227-1_37>, wPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, awPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, PCA-Lp (Kwak 2014) <DOI:10.1109/TCYB.2013.2262936>, and SharpEl1-PCA (Brooks and Dula, submitted).
Author: Sapan Jot [aut], Paul Brooks [aut, cre], Andrea Visentin [aut], Young Woong Park [aut], and Yi-Hui Zhou [aut]
Maintainer: Paul Brooks <jpbrooks@ou.edu>

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Package mark updated to version 0.9.0 with previous version 0.8.3 dated 2025-04-22

Title: Multipurpose Aids for R Kit
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package FVDDPpkg updated to version 0.1.3 with previous version 0.1.2 dated 2024-07-09

Title: Implement Fleming-Viot-Dependent Dirichlet Processes
Description: A Bayesian Nonparametric model for the study of time-evolving frequencies, which has become renowned in the study of population genetics. The model consists of a Hidden Markov Model (HMM) in which the latent signal is a distribution-valued stochastic process that takes the form of a finite mixture of Dirichlet Processes, indexed by vectors that count how many times each value is observed in the population. The package implements methodologies presented in Ascolani, Lijoi and Ruggiero (2021) <doi:10.1214/20-BA1206> and Ascolani, Lijoi and Ruggiero (2023) <doi:10.3150/22-BEJ1504> that make it possible to study the process at the time of data collection or to predict its evolution in future or in the past. The package itself is described in Ascolani, Damato and Ruggiero (2024) <doi:10.1089/cmb.2024.0600>.
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

Diff between FVDDPpkg versions 0.1.2 dated 2024-07-09 and 0.1.3 dated 2026-10-13

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Package configr updated to version 0.3.6 with previous version 0.3.5 dated 2020-07-17

Title: An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)
Description: Implements the JSON, INI, YAML and TOML parser for R setting and writing of configuration file. The functionality of this package is similar to that of package 'config'.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

Diff between configr versions 0.3.5 dated 2020-07-17 and 0.3.6 dated 2026-10-13

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