Sun, 25 Jan 2026

Package scTenifoldKnk updated to version 1.0.3 with previous version 1.0.1 dated 2021-01-22

Title: In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks
Description: A workflow based on 'scTenifoldNet' to perform in-silico knockout experiments using single-cell RNA sequencing (scRNA-seq) data from wild-type (WT) control samples as input. First, the package constructs a single-cell gene regulatory network (scGRN) and knocks out a target gene from the adjacency matrix of the WT scGRN by setting the gene’s outdegree edges to zero. Then, it compares the knocked out scGRN with the WT scGRN to identify differentially regulated genes, called virtual-knockout perturbed genes, which are used to assess the impact of the gene knockout and reveal the gene’s function in the analyzed cells.
Author: Daniel Osorio [aut, cre] , Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Qian Xu [aut, ctb], Yongjuan Yang [aut, ctb], Yanan Tian [aut, ctb], Robert Chapkin [aut, ctb], Jianhua Huang [aut, ctb], James J. Cai [aut, ctb, ths]
Maintainer: Daniel Osorio <dcosorioh@gmail.com>

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More information about scTenifoldKnk at CRAN
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Package mrangr updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-19

Title: Mechanistic Metacommunity Simulator
Description: Flexible, mechanistic, and spatially explicit simulator of metacommunities. It extends our previous package - 'rangr' (see <https://github.com/ropensci/rangr>), which implemented a mechanistic virtual species simulator integrating population dynamics and dispersal. The 'mrangr' package adds the ability to simulate multiple species interacting through an asymmetric matrix of pairwise relationships, allowing users to model all types of biotic interactions — competitive, facilitative, or neutral — within spatially explicit virtual environments. This work was supported by the National Science Centre, Poland, grant no. 2018/29/B/NZ8/00066 and the Poznań Supercomputing and Networking Centre (grant no. pl0090-01).
Author: Katarzyna Markowska [aut, cre, cph], Lechoslaw Kuczynski [aut, cph]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>

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 mrangr-1.0.1/mrangr/README.md                                                                              |   10 
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Package misspi updated to version 0.1.1 with previous version 0.1.0 dated 2023-10-17

Title: Missing Value Imputation in Parallel
Description: A framework that boosts the imputation of 'missForest' by Stekhoven, D.J. and Bühlmann, P. (2012) <doi:10.1093/bioinformatics/btr597> by harnessing parallel processing and through the fast Gradient Boosted Decision Trees (GBDT) implementation 'LightGBM' by Ke, Guolin et al.(2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. 'misspi' has the following main advantages: 1. Allows embrassingly parallel imputation on large scale data. 2. Accepts a variety of machine learning models as methods with friendly user portal. 3. Supports multiple initializations methods. 4. Supports early stopping that prohibits unnecessary iterations.
Author: Zhongli Jiang [aut, cre]
Maintainer: Zhongli Jiang <happycatstat@gmail.com>

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Package MEMSS readmission to version 0.9-4 with previous version 0.9-3 dated 2019-02-08

Title: Data Sets from Mixed-Effects Models in S
Description: Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [cre, aut] , Steven Walker [aut]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

This is a re-admission after prior archival of version 0.9-3 dated 2019-02-08

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Package mcbiopi updated to version 1.1.7 with previous version 1.1.6 dated 2018-10-06

Title: Matrix Computation Based Identification of Prime Implicants
Description: Computes the prime implicants or a minimal disjunctive normal form for a logic expression presented by a truth table or a logic tree. Has been particularly developed for logic expressions resulting from a logic regression analysis, i.e. logic expressions typically consisting of up to 16 literals, where the prime implicants are typically composed of a maximum of 4 or 5 literals.
Author: Holger Schwender [aut, cre]
Maintainer: Holger Schwender <holger.schw@gmx.de>

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Package elastic readmission to version 1.2.2 with previous version 1.2.0 dated 2021-03-16

Title: Database Interface to 'Elasticsearch' and 'OpenSearch'
Description: Connect to 'Elasticsearch' and 'OpenSearch', 'NoSQL' databases built on the 'Java' Virtual Machine and using the 'Apache' 'Lucene' library. Interacts with the 'Elasticsearch' 'HTTP' API' (<https://www.elastic.co/elasticsearch/>) and the 'OpenSearch' 'HTTP' 'API' (<https://opensearch.org/>). Includes functions for setting connection details to 'Elasticsearch' and 'OpenSearch' instances, loading bulk data, searching for documents with both 'HTTP' query variables and 'JSON' based body requests. In addition, 'elastic' provides functions for interacting with APIs for 'indices', documents, nodes, clusters, an interface to the cat API, and more.
Author: Ralf Herold [cre] , Scott Chamberlain [aut]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

This is a re-admission after prior archival of version 1.2.0 dated 2021-03-16

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Package camtrapR updated to version 3.0.2 with previous version 3.0.0 dated 2025-09-28

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

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Package scrime updated to version 1.3.7 with previous version 1.3.5 dated 2018-12-01

Title: Analysis of High-Dimensional Categorical Data Such as SNP Data
Description: Tools for the analysis of high-dimensional data developed/implemented at the group "Statistical Complexity Reduction In Molecular Epidemiology" (SCRIME). Main focus is on SNP data. But most of the functions can also be applied to other types of categorical data.
Author: Holger Schwender [aut, cre], Arno Fritsch [ctb]
Maintainer: Holger Schwender <holger.schw@gmx.de>

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Package OTBsegm updated to version 0.1.2 with previous version 0.1.0 dated 2025-05-06

Title: Apply Unsupervised Segmentation Algorithms from 'OTB'
Description: Apply unsupervised segmentation algorithms included in 'Orfeo ToolBox' software (<https://www.orfeo-toolbox.org/>), such as mean shift or watershed segmentation.
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

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Package CMFsurrogate updated to version 1.1 with previous version 1.0 dated 2022-09-23

Title: Calibrated Model Fusion Approach to Combine Surrogate Markers
Description: Uses a calibrated model fusion approach to optimally combine multiple surrogate markers. Specifically, two initial estimates of optimal composite scores of the markers are obtained; the optimal calibrated combination of the two estimated scores is then constructed which ensures both validity of the final combined score and optimality with respect to the proportion of treatment effect explained (PTE) by the final combined score. The primary function, pte.estimate.multiple(), estimates the PTE of the identified combination of multiple surrogate markers. Details are described in Wang et al (2022) <doi:10.1111/biom.13677>. A tutorial for the package is available at <https://www.laylaparast.com/cmfsurrogate> and a Shiny App is available at <https://parastlab.shinyapps.io/CMFsurrogateApp/>.
Author: Xuan Wang [aut], Layla Parast [cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package MultiStatM updated to version 2.1.0 with previous version 2.0.0 dated 2024-07-26

Title: Multivariate Statistical Methods
Description: Algorithms to build set partitions and commutator matrices and their use in the construction of multivariate d-Hermite polynomials; estimation and derivation of theoretical vector moments and vector cumulants of multivariate distributions; conversion formulae for multivariate moments and cumulants. Applications to estimation and derivation of multivariate measures of skewness and kurtosis; estimation and derivation of asymptotic covariances for d-variate Hermite polynomials, multivariate moments and cumulants and measures of skewness and kurtosis. The formulae implemented are discussed in Terdik (2021, ISBN:9783030813925), "Multivariate Statistical Methods".
Author: Gyorgy Terdik [aut], Emanuele Taufer [aut, cre]
Maintainer: Emanuele Taufer <emanuele.taufer@unitn.it>

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Package STICr updated to version 1.1.2 with previous version 1.1.1 dated 2025-05-02

Title: Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data
Description: A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.
Author: Sam Zipper [aut, cre, cph] , Christopher T. Wheeler [aut] , Stephen Cook [ctb] , Delaney Peterson [ctb] , Sarah Godsey [ctb]
Maintainer: Sam Zipper <samzipper@ku.edu>

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Package recluster updated to version 3.4 with previous version 2.9 dated 2020-07-26

Title: Ordination Methods for the Analysis of Beta-Diversity Indices
Description: The analysis of different aspects of biodiversity requires specific algorithms. For example, in regionalisation analyses, the high frequency of ties and zero values in dissimilarity matrices produced by Beta-diversity turnover produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, visualisation of biogeographical regionalisation can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to visualise and analyse pattern of biodiversity and to improve occurrence data for cryptic taxa.
Author: Leonardo Dapporto [aut, cre], Matteo Ramazzotti [aut], Simone Fattorini [aut], Roger Vila [aut], Gerard Talavera [aut], Roger H.L. Dennis [aut]
Maintainer: Leonardo Dapporto <leondap@gmail.com>

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Package QuickJSR updated to version 1.9.0 with previous version 1.8.1 dated 2025-09-20

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package robustBLME (with last version 0.1.3) was removed from CRAN

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

2018-01-30 0.1.3

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Package pumBayes (with last version 1.0.1) was removed from CRAN

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

2025-10-22 1.0.1
2025-05-30 1.0.0

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Package ZIHINAR1 updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-16

Title: Zero-Inflated and Hurdle INAR(1) Models
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics.
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut]
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>

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Package sn updated to version 2.1.2 with previous version 2.1.1 dated 2023-04-04

Title: The Skew-Normal and Related Distributions Such as the Skew-t and the SUN
Description: Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t and the SUN families. For the skew-normal and the skew-t distributions, statistical methods are provided for data fitting and model diagnostics, in the univariate and the multivariate case.
Author: Adelchi Azzalini [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

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Package rneos updated to version 0.4-1 with previous version 0.4-0 dated 2020-04-23

Title: XML-RPC Interface to NEOS
Description: Within this package the XML-RPC API to NEOS <https://neos-server.org/neos/> is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.
Author: Bernhard Pfaff [aut, cre], Duncan Temple Lang [ctb]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

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Package RecordLinkage updated to version 0.4-12.6 with previous version 0.4-12.5 dated 2025-07-28

Title: Record Linkage Functions for Linking and Deduplicating Data Sets
Description: Provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.
Author: Murat Sariyar [aut, cre], Andreas Borg [aut]
Maintainer: Murat Sariyar <murat.sariyar@bfh.ch>

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Package FRAPO updated to version 0.4-2 with previous version 0.4-1 dated 2016-12-11

Title: Financial Risk Modelling and Portfolio Optimisation with R
Description: Accompanying package of the book 'Financial Risk Modelling and Portfolio Optimisation with R', second edition. The data sets used in the book are contained in this package.
Author: Bernhard Pfaff [aut, cre]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

Diff between FRAPO versions 0.4-1 dated 2016-12-11 and 0.4-2 dated 2026-01-25

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Package fmtr updated to version 1.7.2 with previous version 1.7.1 dated 2026-01-21

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak [aut, cre], Chen Ling [aut]
Maintainer: David Bosak <dbosak01@gmail.com>

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Sat, 24 Jan 2026

Package maxEff updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-14

Title: Additional Predictor with Maximum Effect Size
Description: Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package hyper.gam updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-12

Title: Generalized Additive Models with Hyper Column
Description: Generalized additive models with a numeric hyper column. Sign-adjustment based on the correlation of model prediction and a selected slice of the hyper column. Visualization of the integrand surface over the hyper column.
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [ctb] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package groupedHyperframe.random updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-14

Title: Simulated Grouped Hyper Data Frame
Description: An intuitive interface to simulate (1) superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks; and (2) grouped hyper data frame based on population parameters and subject-specific random effects.
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package rbmiUtils readmission to version 0.1.8 with previous version 0.1.6 dated 2025-09-13

Title: Utility Functions to Support and Extend the 'rbmi' Package
Description: Provides utility functions that extend the capabilities of the reference-based multiple imputation package 'rbmi'. It supports clinical trial analysis workflows with functions for managing imputed datasets, applying analysis methods across imputations, and tidying results for reporting.
Author: Mark Baillie [aut, cre, cph] , Tobias Muetze [aut] , Jack Talboys [aut], Lukas A. Widmer [ctb]
Maintainer: Mark Baillie <bailliem@gmail.com>

This is a re-admission after prior archival of version 0.1.6 dated 2025-09-13

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Package MRTAnalysis updated to version 0.4.1 with previous version 0.4.0 dated 2026-01-24

Title: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials
Description: Provides methods to analyze micro-randomized trials (MRTs) with binary treatment options. Supports four types of analyses: (1) proximal causal excursion effects, including weighted and centered least squares (WCLS) for continuous proximal outcomes by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274> and the estimator for marginal excursion effect (EMEE) for binary proximal outcomes by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal causal excursion effects (DCEE) for continuous distal outcomes using a two-stage estimator by Qian (2025) <doi:10.1093/biomtc/ujaf134>; (3) mediated causal excursion effects (MCEE) for continuous distal outcomes, estimating natural direct and indirect excursion effects in the presence of time-varying mediators by Qian (2025) <doi:10.48550/arXiv.2506.20027>; and (4) standardized proximal effect size estimation for continuous proximal outcomes, generalizing the approach in Luers et al. (2019) <doi:10.1007/s11121- [...truncated...]
Author: Tianchen Qian [aut, cre] , Shaolin Xiang [aut], Zhaoxi Cheng [aut], Xinyi Song [aut], John Dziak [aut], Audrey Boruvka [ctb]
Maintainer: Tianchen Qian <t.qian@uci.edu>

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Package bdc readmission to version 1.1.6 with previous version 1.1.5 dated 2024-12-17

Title: Biodiversity Data Cleaning
Description: It brings together several aspects of biodiversity data-cleaning in one place. 'bdc' is organized in thematic modules related to different biodiversity dimensions, including 1) Merge datasets: standardization and integration of different datasets; 2) pre-filter: flagging and removal of invalid or non-interpretable information, followed by data amendments; 3) taxonomy: cleaning, parsing, and harmonization of scientific names from several taxonomic groups against taxonomic databases locally stored through the application of exact and partial matching algorithms; 4) space: flagging of erroneous, suspect, and low-precision geographic coordinates; and 5) time: flagging and, whenever possible, correction of inconsistent collection date. In addition, it contains features to visualize, document, and report data quality – which is essential for making data quality assessment transparent and reproducible. The reference for the methodology is Ribeiro and colleagues (2022) <doi:10.1111/2041-210 [...truncated...]
Author: Bruno Ribeiro [aut, cre] , Santiago Velazco [aut] , Karlo Guidoni-Martins [aut] , Geiziane Tessarolo [aut] , Lucas Jardim [aut] , Steven Bachman [ctb] , Rafael Loyola [ctb]
Maintainer: Bruno Ribeiro <ribeiro.brr@gmail.com>

This is a re-admission after prior archival of version 1.1.5 dated 2024-12-17

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Package smsets updated to version 2.0.0 with previous version 1.2.3 dated 2025-07-08

Title: Simple Multivariate Statistical Estimation and Tests
Description: A collection of simple parameter estimation and tests for the comparison of multivariate means and variation, to accompany Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer (5th edition), by Manly BFJ, Navarro Alberto JA & Gerow K (2024) <doi:10.1201/9781003453482>.
Author: Jorge Navarro Alberto [aut, cre, cph]
Maintainer: Jorge Navarro Alberto <ganava4@gmail.com>

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Package diegr updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-23

Title: Dynamic and Interactive EEG Graphics
Description: Allows to visualize high-density electroencephalography (HD-EEG) data through interactive plots and animations, enabling exploratory and communicative analysis of temporal-spatial brain signals. Funder: Masaryk University (Grant No. MUNI/A/1457/2023).
Author: Zdeňka Gerslova [aut, cre] , Stanislav Katina [rev] , Martin Lamos [ctb]
Maintainer: Zdeňka Gerslova <gerslovaz@math.muni.cz>

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Package crossmap updated to version 0.5.0 with previous version 0.4.3 dated 2025-12-22

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package BART updated to version 2.9.10 with previous version 2.9.9 dated 2024-06-21

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
Author: Robert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [ctb], Matthew Pratola [ctb], Charles Spanbauer [ctb], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

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Package REDCapDM updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-26

Title: 'REDCap' Data Management
Description: REDCap Data Management - 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application developed at Vanderbilt University, designed for creating and managing online surveys and databases and the REDCap API is an interface that allows external applications to connect to REDCap remotely, and is used to programmatically retrieve or modify project data or settings within REDCap, such as importing or exporting data. REDCapDM is an R package that allows users to manage data exported directly from REDCap or using an API connection. This package includes several functions designed for pre-processing data, generating reports of queries such as outliers or missing values, and following up on previously identified queries.
Author: Joao Carmezim [aut, cre], Pau Satorra [aut], Judith Penafiel [aut], Esther Garcia [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Joao Carmezim <jcarmezim@igtp.cat>

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Package gogarch updated to version 0.7-6 with previous version 0.7-5 dated 2022-04-29

Title: Generalized Orthogonal GARCH (GO-GARCH) Models
Description: Provision of classes and methods for estimating generalized orthogonal GARCH models. This is an alternative approach to CC-GARCH models in the context of multivariate volatility modeling.
Author: Bernhard Pfaff [aut, cre]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

Diff between gogarch versions 0.7-5 dated 2022-04-29 and 0.7-6 dated 2026-01-24

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Package goat updated to version 1.1.4 with previous version 1.1.3 dated 2025-08-27

Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Description: Perform gene set enrichment analyses using the Gene set Ordinal Association Test (GOAT) algorithm and visualize your results. Koopmans, F. (2024) <doi:10.1038/s42003-024-06454-5>.
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>

Diff between goat versions 1.1.3 dated 2025-08-27 and 1.1.4 dated 2026-01-24

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Package easyViz updated to version 2.0.1 with previous version 2.0.0 dated 2026-01-08

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

Diff between easyViz versions 2.0.0 dated 2026-01-08 and 2.0.1 dated 2026-01-24

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Package sdmTMB updated to version 1.0.0 with previous version 0.8.1 dated 2026-01-08

Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description: Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2025) <doi:10.18637/jss.v115.i02>.
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Philina A. English [aut] , Lewis A. K. Barnett [aut] , James T. Thorson [aut, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Jillian C. Dunic [ctb] , Joseph Barss [ctb], Cole C. Monnahan [ctb, cph] [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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Package netUtils updated to version 0.8.4 with previous version 0.8.3 dated 2024-10-10

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between netUtils versions 0.8.3 dated 2024-10-10 and 0.8.4 dated 2026-01-24

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Package MRTAnalysis updated to version 0.4.0 with previous version 0.3.1 dated 2025-11-05

Title: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials
Description: Provides methods to analyze micro-randomized trials (MRTs) with binary treatment options. Supports four types of analyses: (1) proximal causal excursion effects, including weighted and centered least squares (WCLS) for continuous proximal outcomes by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274> and the estimator for marginal excursion effect (EMEE) for binary proximal outcomes by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal causal excursion effects (DCEE) for continuous distal outcomes using a two-stage estimator by Qian (2025) <doi:10.1093/biomtc/ujaf134>; (3) mediated causal excursion effects (MCEE) for continuous distal outcomes, estimating natural direct and indirect excursion effects in the presence of time-varying mediators by Qian (2025) <doi:10.48550/arXiv.2506.20027>; and (4) standardized proximal effect size estimation for continuous proximal outcomes, generalizing the approach in Luers et al. (2019) <doi:10.1007/s11121- [...truncated...]
Author: Tianchen Qian [aut, cre] , Shaolin Xiang [aut], Zhaoxi Cheng [aut], Xinyi Song [aut], John Dziak [aut], Audrey Boruvka [ctb]
Maintainer: Tianchen Qian <t.qian@uci.edu>

Diff between MRTAnalysis versions 0.3.1 dated 2025-11-05 and 0.4.0 dated 2026-01-24

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Package iSubGen updated to version 1.0.4 with previous version 1.0.1 dated 2021-04-22

Title: Integrative Subtype Generation
Description: Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations. See Fox et al. (2024) <doi:10.1016/j.crmeth.2024.100884> for details.
Author: Mao Tian [cre], Paul Boutros [aut], Natalie Fox [aut], Dan Knight [ctb]
Maintainer: Mao Tian <mtian@sbpdiscovery.org>

Diff between iSubGen versions 1.0.1 dated 2021-04-22 and 1.0.4 dated 2026-01-24

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Package glyrepr updated to version 0.10.0 with previous version 0.9.0 dated 2025-11-23

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.9.0 dated 2025-11-23 and 0.10.0 dated 2026-01-24

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Package simTool updated to version 1.1.9 with previous version 1.1.8 dated 2025-04-09

Title: Conduct Simulation Studies with a Minimal Amount of Source Code
Description: Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
Author: Marsel Scheer [aut, cre]
Maintainer: Marsel Scheer <scheer@freescience.de>

Diff between simTool versions 1.1.8 dated 2025-04-09 and 1.1.9 dated 2026-01-24

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Package mfdb updated to version 7.4-0 with previous version 7.3-1 dated 2022-06-21

Title: MareFrame DB Querying Library
Description: Creates and manages a PostgreSQL database suitable for storing fisheries data and aggregating ready for use within a Gadget <https://gadget-framework.github.io/gadget2/> model. See <https://mareframe.github.io/mfdb/> for more information.
Author: Jamie Lentin [aut, cre, cph], Bjarki Thor Elvarsson [aut]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>

Diff between mfdb versions 7.3-1 dated 2022-06-21 and 7.4-0 dated 2026-01-24

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Permanent link

New package growthTrendR with initial version 0.2.0
Package: growthTrendR
Title: Toolkit for Data Processing, Quality, and Statistical Models
Version: 0.2.0
Date: 2026-01-19
Maintainer: Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca>
Description: Offers tools for data formatting, anomaly detection, and classification of tree-ring data using spatial comparisons and cross-correlation. Supports flexible detrending and climate–growth modeling via generalized additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv' package (<https://CRAN.R-project.org/package=mgcv>), enabling robust analysis of non-linear trends and autocorrelated data. Provides standardized visual reporting, including summaries, diagnostics, and model performance. Compatible with '.rwl' files and tailored for the Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository (Girardin et al. (2021) <doi:10.1139/er-2020-0099>), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets.
License: GPL-3
Encoding: UTF-8
Imports: data.table (>= 1.17.8), stringr (>= 1.4.0), stats (>= 4.3.2), mgcv (>= 1.8.0), ggplot2 (>= 3.0.0), nlme(>= 3.0.0), patchwork(>= 1.0.0), terra (>= 1.7-71), raster(>= 3.6-26), furrr(>= 0.3.1), future(>= 1.34.0), pryr(>= 0.1.6), htmltools(>= 0.5.9), curl(>= 7.0.0), dplyr(>= 1.1.4)
Suggests: knitr, geosphere, ggeffects (>= 2.3.0), ggforce(>= 0.4.2), gstat(>= 2.1-3), scales(>= 1.3.0), purrr(>= 1.0.0), parallel(>= 4.3.0), MuMIn(>= 1.48.2), rmarkdown(>= 2.29), rstudioapi(>= 0.16), MASS(>= 7.3-60), sf(>= 1.0-15), sp(>= 2.1.0), spdep(>= 1.3), magick(>= 2.8.6), gt(>= 1.2.0), kableExtra(>= 1.4.0), httr(>= 1.4.7)
Depends: R (>= 4.3.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-20 17:35:41 UTC; xjguo
Author: Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut]
Repository: CRAN
Date/Publication: 2026-01-24 11:00:02 UTC

More information about growthTrendR at CRAN
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New package GMMinit with initial version 1.0.0
Package: GMMinit
Title: Optimal Initial Value for Gaussian Mixture Model
Date: 2026-01-20
Version: 1.0.0
Maintainer: Jing Li <jli178@crimson.ua.edu>
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Description: Generating, evaluating, and selecting initialization strategies for Gaussian Mixture Models (GMMs), along with functions to run the Expectation-Maximization (EM) algorithm. Initialization methods are compared using log-likelihood, and the best-fitting model can be selected using BIC. Methods build on initialization strategies for finite mixture models described in Michael and Melnykov (2016) <doi:10.1007/s11634-016-0264-8> and Biernacki et al. (2003) <doi:10.1016/S0167-9473(02)00163-9>, and on the EM algorithm of Dempster et al. (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>. Background on model-based clustering includes Fraley and Raftery (2002) <doi:10.1198/016214502760047131> and McLachlan and Peel (2000, ISBN:9780471006268).
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
ByteCompile: true
Imports: mvtnorm, mclust, mvnfast, stats
NeedsCompilation: no
Packaged: 2026-01-20 16:33:01 UTC; jingli
Date/Publication: 2026-01-24 10:40:07 UTC

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New package frheritage with initial version 0.1.0
Package: frheritage
Title: R Interface to Get French Heritage Data
Version: 0.1.0
Description: Get spatial vector data from the Atlas du Patrimoine (<http://atlas.patrimoines.culture.fr/atlas/trunk/>), the official national platform of the French Ministry of Culture, and facilitate its use within R geospatial workflows. The package provides functions to list available heritage datasets, query and retrieve heritage data using spatial queries based on user-provided sf objects, perform spatial filtering operations, and return results as sf objects suitable for spatial analysis, mapping, and integration into heritage management and landscape studies.
License: GPL (>= 3)
Encoding: UTF-8
Imports: jsonlite, happign, httr2, sf, xml2
Depends: R (>= 4.1.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.1.7), httptest2
NeedsCompilation: no
Packaged: 2026-01-20 18:37:25 UTC; matth
Author: Matthieu Chevereau [aut, cre]
Maintainer: Matthieu Chevereau <matthieu.chevereau@hotmail.fr>
Repository: CRAN
Date/Publication: 2026-01-24 10:40:02 UTC

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New package capr with initial version 0.2.0
Package: capr
Title: Covariate Assisted Principal Regression
Version: 0.2.0
Author: Xi Luo [aut, cre], Yi Zhao [aut], Brian Caffo [aut]
Maintainer: Xi Luo <xi.rossi.luo@gmail.com>
Description: Covariate Assisted Principal Regression (CAPR) for multiple covariance-matrix outcomes. The method identifies (principal) projection directions that maximize the log-likelihood of a log-linear regression model of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal Regression for Covariance Matrix Outcomes" <doi:10.1093/biostatistics/kxz057>.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
Suggests: testthat, roxygen2
SystemRequirements: C++17
URL: https://github.com/rluo/capr
BugReports: https://github.com/rluo/capr/issues
NeedsCompilation: yes
Packaged: 2026-01-20 19:55:03 UTC; root
Repository: CRAN
Date/Publication: 2026-01-24 10:50:02 UTC

More information about capr at CRAN
Permanent link

Package plotly updated to version 4.12.0 with previous version 4.11.0 dated 2025-06-19

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] , Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] , Pedro Despouy [aut], Salim Brueggemann [ctb] , Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

Diff between plotly versions 4.11.0 dated 2025-06-19 and 4.12.0 dated 2026-01-24

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Package tfrmt updated to version 0.3.0 with previous version 0.2.1 dated 2025-10-04

Title: Applies Display Metadata to Analysis Results Datasets
Description: Creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of 'tfrmt' allows users to define table format and styling without the data, and later apply the format to the data.
Author: Becca Krouse [aut, cre], Christina Fillmore [aut] , Ellis Hughes [aut] , Karima Ahmad [aut] , Shannon Haughton [aut], Dragoș Moldovan-Gruenfeld [aut], Alanah Jonas [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Atorus Research LLC [ [...truncated...]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

Diff between tfrmt versions 0.2.1 dated 2025-10-04 and 0.3.0 dated 2026-01-24

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Package spmodel updated to version 0.12.0 with previous version 0.11.1 dated 2025-11-14

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between spmodel versions 0.11.1 dated 2025-11-14 and 0.12.0 dated 2026-01-24

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Package NAM updated to version 1.8.0 with previous version 1.7.3 dated 2019-09-23

Title: Nested Association Mapping
Description: Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) <doi:10.1093/bioinformatics/btv448>. It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.
Author: Alencar Xavier [aut, cre], William Muir [aut], Katy Rainey [aut], Shizhong Xu [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between NAM versions 1.7.3 dated 2019-09-23 and 1.8.0 dated 2026-01-24

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Package fitdistrplus updated to version 1.2-6 with previous version 1.2-5 dated 2026-01-22

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut] , Christophe Dutang [aut] , Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between fitdistrplus versions 1.2-5 dated 2026-01-22 and 1.2-6 dated 2026-01-24

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Package bedr updated to version 1.1.5 with previous version 1.1.3 dated 2025-04-06

Title: Genomic Region Processing using Tools Such as 'BEDTools', 'BEDOPS' and 'Tabix'
Description: Genomic regions processing using open-source command line tools such as 'BEDTools', 'BEDOPS' and 'Tabix'. These tools offer scalable and efficient utilities to perform genome arithmetic e.g indexing, formatting and merging. bedr API enhances access to these tools as well as offers additional utilities for genomic regions processing.
Author: Syed Haider [aut], Daryl Waggott [aut], Emilie Lalonde [ctb], Clement Fung [ctb], Helena Winata [ctb], Dan Knight [ctb], Michael Chirico [ctb], Melinda Luo [ctb], Paul C. Boutros [aut, cre, cph]
Maintainer: Paul C. Boutros <pboutros@sbpdiscovery.org>

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Fri, 23 Jan 2026

Package tidypopgen updated to version 0.4.3 with previous version 0.4.2 dated 2026-01-22

Title: Tidy Population Genetics
Description: We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) <doi:10.1111/2041-210x.70204>.
Author: Evie Carter [aut], Eirlys Tysall [aut], Andrea Manica [aut, cre, cph] , Chang Christopher [ctb] ), Shaun Purcell [ctb] ), Bengtsson Henrik [ctb] )
Maintainer: Andrea Manica <am315@cam.ac.uk>

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Package SeqKat updated to version 0.0.9 with previous version 0.0.8 dated 2020-03-10

Title: Detection of Kataegis
Description: Kataegis is a localized hypermutation occurring when a region is enriched in somatic SNVs. Kataegis can result from multiple cytosine deaminations catalyzed by the AID/APOBEC family of proteins. This package contains functions to detect kataegis from SNVs in BED format. This package reports two scores per kataegic event, a hypermutation score and an APOBEC mediated kataegic score. Yousif, F. et al.; The Origins and Consequences of Localized and Global Somatic Hypermutation; Biorxiv 2018 <doi:10.1101/287839>.
Author: Fouad Yousif [aut], Xihui Lin [aut], Fan Fan [aut], Christopher Lalansingh [aut], John Macdonald [aut], Paul C. Boutros [cre]
Maintainer: Paul C. Boutros <pboutros@sbpdiscovery.org>

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Package optweight updated to version 2.0.0 with previous version 1.0.0 dated 2025-09-09

Title: Optimization-Based Stable Balancing Weights
Description: Use optimization to estimate weights that balance covariates for binary, multi-category, continuous, and multivariate treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates, as in matching-adjusted indirect comparison (MAIC).
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package OmicsQC updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-01

Title: Nominating Quality Control Outliers in Genomic Profiling Studies
Description: A method that analyzes quality control metrics from multi-sample genomic sequencing studies and nominates poor quality samples for exclusion. Per sample quality control data are transformed into z-scores and aggregated. The distribution of aggregated z-scores are modelled using parametric distributions. The parameters of the optimal model, selected either by goodness-of-fit statistics or user-designation, are used for outlier nomination. Two implementations of the Cosine Similarity Outlier Detection algorithm are provided with flexible parameters for dataset customization.
Author: Anders Hugo Frelin [aut], Helen Zhu [aut], Paul C. Boutros [aut, cre]
Maintainer: Paul C. Boutros <PBoutros@sbpdiscovery.org>

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Package ApplyPolygenicScore updated to version 4.0.1 with previous version 4.0.0 dated 2025-08-20

Title: Utilities for the Application of a Polygenic Score to a VCF
Description: Simple and transparent parsing of genotype/dosage data from an input Variant Call Format (VCF) file, matching of genotype coordinates to the component Single Nucleotide Polymorphisms (SNPs) of an existing polygenic score (PGS), and application of SNP weights to dosages for the calculation of a polygenic score for each individual in accordance with the additive weighted sum of dosages model. Methods are designed in reference to best practices described by Collister, Liu, and Clifton (2022) <doi:10.3389/fgene.2022.818574>.
Author: Paul Boutros [cre], Nicole Zeltser [aut] , Rachel Dang [ctb], Raag Agrawal [ctb]
Maintainer: Paul Boutros <PBoutros@sbpdiscovery.org>

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Package SOAR updated to version 1.0-1 with previous version 0.99-11 dated 2013-12-11

Title: Memory Management in R by Delayed Assignments
Description: Allows objects to be stored on disc and automatically recalled into memory, as required, by delayed assignment.
Author: Bill Venables [aut, cre], based on original code by David Brahm [aut]
Maintainer: Bill Venables <Bill.Venables@gmail.com>

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Package orderly updated to version 2.0.3 with previous version 2.0.0 dated 2025-10-09

Title: Lightweight Reproducible Reporting
Description: Distributed reproducible computing framework, adopting ideas from git, docker and other software. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Martin Eden [aut], Alex Hill [aut], Wes Hinsley [aut], Mantra Kusumgar [aut], Paul Lietar [aut], James Thompson [aut], Katy Gaythorpe [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package jds.rmd updated to version 0.3.4 with previous version 0.3.3 dated 2023-06-20

Title: R Markdown Templates for Journal of Data Science
Description: Customized R Markdown templates for authoring articles for Journal of Data Science.
Author: Wenjie Wang [aut, cre] , Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between jds.rmd versions 0.3.3 dated 2023-06-20 and 0.3.4 dated 2026-01-23

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Package subniche readmission to version 1.6 with previous version 1.5 dated 2022-07-15

Title: Within Outlying Mean Indexes: Refining the 'OMI' Analysis
Description: Complementary indexes calculation to the Outlying Mean Index analysis to explore niche shift of a community and biological constraint within an Euclidean space, with graphical displays. For details see Karasiewicz 'et al.' (2017) <doi:10.7717/peerj.3364>.
Author: Stephane Karasiewicz [aut, cre]
Maintainer: Stephane Karasiewicz <skaraz.science@gmail.com>

This is a re-admission after prior archival of version 1.5 dated 2022-07-15

Diff between subniche versions 1.5 dated 2022-07-15 and 1.6 dated 2026-01-23

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New package rCISSVAE with initial version 0.0.4
Package: rCISSVAE
Title: Clustering-Informed Shared-Structure VAE for Imputation
Version: 0.0.4
Maintainer: Danielle Vaithilingam <vaithid1@mskcc.org>
Description: Implements the Clustering-Informed Shared-Structure Variational Autoencoder ('CISS-VAE'), a deep learning framework for missing data imputation introduced in Khadem Charvadeh et al. (2025) <doi:10.1002/sim.70335>. The model accommodates all three types of missing data mechanisms: Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR). While it is particularly well-suited to MNAR scenarios, where missingness patterns carry informative signals, 'CISS-VAE' also functions effectively under MAR assumptions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: reticulate, purrr, gtsummary, rlang, ComplexHeatmap
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown, tidyverse, kableExtra, MASS, fastDummies, palmerpenguins, glue, withr, ggplot2
URL: https://ciss-vae.github.io/rCISS-VAE/
BugReports: https://github.com/CISS-VAE/rCISS-VAE/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-20 15:01:31 UTC; vaithid1
Author: Yasin Khadem Charvadeh [aut], Kenneth Seier [aut], Katherine S. Panageas [aut], Danielle Vaithilingam [aut, cre], Mithat Goenen [aut], Yuan Chen [aut]
Repository: CRAN
Date/Publication: 2026-01-23 21:20:07 UTC

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New package OptimalBinningWoE with initial version 1.0.3
Package: OptimalBinningWoE
Title: Optimal Binning and Weight of Evidence Framework for Modeling
Version: 1.0.3
Date: 2026-01-20
Description: High-performance implementation of 36 optimal binning algorithms (16 categorical, 20 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/OptimalBinningWoE
BugReports: https://github.com/evandeilton/OptimalBinningWoE/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: Rcpp, recipes, rlang, tibble, dials
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: testthat (>= 3.0.0), dplyr, generics, knitr, rmarkdown, tidymodels, workflows, parsnip, pROC, scorecard
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-20 13:21:50 UTC; evand
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 21:10:06 UTC

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New package gsearly with initial version 1.0.0
Package: gsearly
Title: Creates Group Sequential Trial Designs when Early Outcomes are Available
Version: 1.0.0
Maintainer: Nick Parsons <nick.parsons@warwick.ac.uk>
Description: Methods to construct and power group sequential clinical trial designs for outcomes at multiple times. Outcomes at earlier times provide information on the final (primary) outcome. A range of recruitment and correlation models are available as are methods to simulate data in order to explore design operating characteristics. For more details see Parsons (2024) <doi:10.1186/s12874-024-02174-w>.
Depends: R (>= 4.1.2)
Imports: graphics, grDevices, gsDesign (>= 3.2.1), methods, mvtnorm (>= 1.2-4), nlme (>= 3.1-160), stats, utils
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-20 13:31:42 UTC; nickr
Author: Nick Parsons [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 21:20:12 UTC

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New package grepreaper with initial version 0.1.0
Package: grepreaper
Title: Efficient Data Filtering and Aggregation Using Grep
Version: 0.1.0
Description: Provides an interface to the system-level 'grep' utility for efficiently reading, filtering, and aggregating data from multiple flat files. By pre-filtering data at the command line before it enters the R environment, the package reduces memory overhead and improves ingestion speed. Includes functions for counting records across large file systems and supports recursive directory searching.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
Imports: data.table, methods
NeedsCompilation: no
Packaged: 2026-01-20 12:59:50 UTC; akshat
Author: David Shilane [aut], Atharv Raskar [aut], Akshat Maurya [aut, cre]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 21:10:02 UTC

More information about grepreaper at CRAN
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Package fuzzylink updated to version 0.3.0 with previous version 0.2.5 dated 2025-08-29

Title: Probabilistic Record Linkage Using Pretrained Text Embeddings
Description: Links datasets through fuzzy string matching using pretrained text embeddings. Produces more accurate record linkage when lexical string distance metrics are a poor guide to match quality (e.g., "Patricia" is more lexically similar to "Patrick" than it is to "Trish"). Capable of performing multilingual record linkage. Methods are described in Ornstein (2025) <doi:10.1017/pan.2025.10016>.
Author: Joe Ornstein [aut, cre, cph]
Maintainer: Joe Ornstein <jornstein@uga.edu>

Diff between fuzzylink versions 0.2.5 dated 2025-08-29 and 0.3.0 dated 2026-01-23

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Package docorator updated to version 0.5.2 with previous version 0.5.1 dated 2026-01-08

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

Diff between docorator versions 0.5.1 dated 2026-01-08 and 0.5.2 dated 2026-01-23

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New package BinaryReplicates with initial version 1.0.0
Package: BinaryReplicates
Title: Dealing with Binary Replicates
Version: 1.0.0
Description: Statistical methods for analyzing binary replicates, which are noisy binary measurements of latent binary states. Provides scoring functions (average, median, likelihood-based, and Bayesian) to estimate the probability that an individual is in the positive state. Includes maximum a posteriori estimation via the EM algorithm and full Bayesian inference via Stan. Supports classification with inconclusive decisions and prevalence estimation.
License: GPL (>= 3)
URL: https://github.com/pierrepudlo/BinaryReplicates
BugReports: https://github.com/pierrepudlo/BinaryReplicates/issues
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr (>= 0.8.0), magrittr (>= 1.5)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-20 15:58:31 UTC; ppudlo
Author: Pierre Pudlo [aut, cre] , Manuela Royez-Carenzi [aut] , Hadrien Lorenzo [aut]
Maintainer: Pierre Pudlo <pierre.pudlo@univ-amu.fr>
Repository: CRAN
Date/Publication: 2026-01-23 21:30:02 UTC

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Package toxEval updated to version 1.4.2 with previous version 1.4.1 dated 2025-09-30

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.
Author: Laura DeCicco [aut, cre] , Steven Corsi [aut] , Daniel Villeneuve [aut] , Brett Blackwell [aut] , Gerald Ankley [aut] , Alison Appling [rev] , Dalma Martinovic [rev]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between toxEval versions 1.4.1 dated 2025-09-30 and 1.4.2 dated 2026-01-23

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Package rbmi readmission to version 1.6.0 with previous version 1.5.2 dated 2025-10-28

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre], Craig Gower-Page [aut], Isaac Gravestock [aut], Alessandro Noci [aut], Marcel Wolbers [ctb], Daniel Sabanes Bove [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

This is a re-admission after prior archival of version 1.5.2 dated 2025-10-28

Diff between rbmi versions 1.5.2 dated 2025-10-28 and 1.6.0 dated 2026-01-23

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New package outlying with initial version 0.0.1
Package: outlying
Title: Outliers Detection
Version: 0.0.1
Description: Provides functions for detecting outliers in datasets using statistical methods. The package supports identification of anomalous observations in numerical data and is intended for use in data cleaning, exploratory data analysis, and preprocessing workflows.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-20 07:08:46 UTC; ABRC
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 20:30:08 UTC

More information about outlying at CRAN
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Package ncdfCF updated to version 0.8.0 with previous version 0.7.0 dated 2025-09-13

Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between ncdfCF versions 0.7.0 dated 2025-09-13 and 0.8.0 dated 2026-01-23

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 ncdfCF-0.8.0/ncdfCF/DESCRIPTION                                                                      |   23 
 ncdfCF-0.8.0/ncdfCF/LICENSE                                                                          |    2 
 ncdfCF-0.8.0/ncdfCF/MD5                                                                              |  179 +--
 ncdfCF-0.8.0/ncdfCF/NAMESPACE                                                                        |    5 
 ncdfCF-0.8.0/ncdfCF/NEWS.md                                                                          |   31 
 ncdfCF-0.8.0/ncdfCF/R/AOI.R                                                                          |   38 
 ncdfCF-0.8.0/ncdfCF/R/AOImethod.R                                                                    |    2 
 ncdfCF-0.8.0/ncdfCF/R/CFAuxiliaryLongLat.R                                                           |   56 -
 ncdfCF-0.8.0/ncdfCF/R/CFAxis.R                                                                       |  166 ++
 ncdfCF-0.8.0/ncdfCF/R/CFAxisCharacter.R                                                              |   41 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisDiscrete.R                                                               |   22 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisLatitude.R                                                               |   38 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisLongitude.R                                                              |   36 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisNumeric.R                                                                |   46 
 ncdfCF-0.8.0/ncdfCF/R/CFAxisTime.R                                                                   |  136 +-
 ncdfCF-0.8.0/ncdfCF/R/CFAxisVertical.R                                                               |  127 +-
 ncdfCF-0.8.0/ncdfCF/R/CFBounds.R                                                                     |   77 -
 ncdfCF-0.8.0/ncdfCF/R/CFData.R                                                                       |only
 ncdfCF-0.8.0/ncdfCF/R/CFDataset.R                                                                    |  209 ++-
 ncdfCF-0.8.0/ncdfCF/R/CFGridMapping.R                                                                |   18 
 ncdfCF-0.8.0/ncdfCF/R/CFGroup.R                                                                      |only
 ncdfCF-0.8.0/ncdfCF/R/CFLabel.R                                                                      |  141 +-
 ncdfCF-0.8.0/ncdfCF/R/CFObject.R                                                                     |  407 ++-----
 ncdfCF-0.8.0/ncdfCF/R/CFStandardNames.R                                                              |    2 
 ncdfCF-0.8.0/ncdfCF/R/CFVariable.R                                                                   |  559 +++++-----
 ncdfCF-0.8.0/ncdfCF/R/CFVariableL3b.R                                                                |   43 
 ncdfCF-0.8.0/ncdfCF/R/CFVerticalParametricTerm.R                                                     |    5 
 ncdfCF-0.8.0/ncdfCF/R/NCDimension.R                                                                  |   21 
 ncdfCF-0.8.0/ncdfCF/R/NCGroup.R                                                                      |  405 ++-----
 ncdfCF-0.8.0/ncdfCF/R/NCObject.R                                                                     |   65 -
 ncdfCF-0.8.0/ncdfCF/R/NCResource.R                                                                   |only
 ncdfCF-0.8.0/ncdfCF/R/NCVariable.R                                                                   |  107 +
 ncdfCF-0.8.0/ncdfCF/R/makeCFObjects.R                                                                |  256 +++-
 ncdfCF-0.8.0/ncdfCF/R/ncdfCF-package.R                                                               |   12 
 ncdfCF-0.8.0/ncdfCF/R/ops.R                                                                          |    8 
 ncdfCF-0.8.0/ncdfCF/R/readCF.R                                                                       |  431 ++++---
 ncdfCF-0.8.0/ncdfCF/R/utils.R                                                                        |   29 
 ncdfCF-0.8.0/ncdfCF/README.md                                                                        |  190 +--
 ncdfCF-0.8.0/ncdfCF/TODO                                                                             |   68 -
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 ncdfCF-0.8.0/ncdfCF/man/CFAuxiliaryLongLat.Rd                                                        |   33 
 ncdfCF-0.8.0/ncdfCF/man/CFAxis.Rd                                                                    |   77 +
 ncdfCF-0.8.0/ncdfCF/man/CFAxisCharacter.Rd                                                           |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisDiscrete.Rd                                                            |   21 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisLatitude.Rd                                                            |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisLongitude.Rd                                                           |   24 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisNumeric.Rd                                                             |   26 
 ncdfCF-0.8.0/ncdfCF/man/CFAxisTime.Rd                                                                |   57 -
 ncdfCF-0.8.0/ncdfCF/man/CFAxisVertical.Rd                                                            |   62 -
 ncdfCF-0.8.0/ncdfCF/man/CFBounds.Rd                                                                  |   50 
 ncdfCF-0.8.0/ncdfCF/man/CFData.Rd                                                                    |only
 ncdfCF-0.8.0/ncdfCF/man/CFDataset.Rd                                                                 |  197 +++
 ncdfCF-0.8.0/ncdfCF/man/CFGridMapping.Rd                                                             |   35 
 ncdfCF-0.8.0/ncdfCF/man/CFGroup.Rd                                                                   |only
 ncdfCF-0.8.0/ncdfCF/man/CFLabel.Rd                                                                   |  117 +-
 ncdfCF-0.8.0/ncdfCF/man/CFObject.Rd                                                                  |  171 +--
 ncdfCF-0.8.0/ncdfCF/man/CFVariable.Rd                                                                |  199 ++-
 ncdfCF-0.8.0/ncdfCF/man/CFVariableL3b.Rd                                                             |   27 
 ncdfCF-0.8.0/ncdfCF/man/CFVerticalParametricTerm.Rd                                                  |   27 
 ncdfCF-0.8.0/ncdfCF/man/NCDimension.Rd                                                               |   10 
 ncdfCF-0.8.0/ncdfCF/man/NCGroup.Rd                                                                   |  263 +---
 ncdfCF-0.8.0/ncdfCF/man/NCObject.Rd                                                                  |   16 
 ncdfCF-0.8.0/ncdfCF/man/NCResource.Rd                                                                |only
 ncdfCF-0.8.0/ncdfCF/man/NCVariable.Rd                                                                |   66 +
 ncdfCF-0.8.0/ncdfCF/man/arrayOps.Rd                                                                  |    3 
 ncdfCF-0.8.0/ncdfCF/man/as_CF.Rd                                                                     |   38 
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 ncdfCF-0.8.0/ncdfCF/man/dim.CFAxis.Rd                                                                |    7 
 ncdfCF-0.8.0/ncdfCF/man/dimnames.Rd                                                                  |    6 
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 ncdfCF-0.8.0/ncdfCF/man/makeAxis.Rd                                                                  |   12 
 ncdfCF-0.8.0/ncdfCF/man/makeCharacterAxis.Rd                                                         |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeDiscreteAxis.Rd                                                          |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeLatitudeAxis.Rd                                                          |   11 
 ncdfCF-0.8.0/ncdfCF/man/makeLongitudeAxis.Rd                                                         |   11 
 ncdfCF-0.8.0/ncdfCF/man/makeTimeAxis.Rd                                                              |    5 
 ncdfCF-0.8.0/ncdfCF/man/makeVerticalAxis.Rd                                                          |   11 
 ncdfCF-0.8.0/ncdfCF/man/ncdfCF-package.Rd                                                            |   13 
 ncdfCF-0.8.0/ncdfCF/man/open_ncdf.Rd                                                                 |   10 
 ncdfCF-0.8.0/ncdfCF/man/str.CFAxis.Rd                                                                |    1 
 ncdfCF-0.8.0/ncdfCF/man/str.CFDataset.Rd                                                             |    1 
 ncdfCF-0.8.0/ncdfCF/man/sub-sub-.CFDataset.Rd                                                        |    2 
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 ncdfCF-0.8.0/ncdfCF/tests/testthat/test-CFobjects.R                                                  |   60 -
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New package directAgeStd with initial version 0.0.2
Package: directAgeStd
Title: Direct Age Standardisation with Confidence Intervals
Version: 0.0.2
Description: Provides tools to compute directly age-standardised rates using the 2013 European Standard Population. Includes variance estimation and 95% confidence intervals for population health applications. Functions are flexible to handle any grouping variable and age bands, allowing reproducible and automated analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, magrittr, stats
Depends: R (>= 3.5)
URL: https://github.com/JoeBlackford/directAgeStd/
BugReports: https://github.com/JoeBlackford/directAgeStd/issues
NeedsCompilation: no
Packaged: 2026-01-20 09:25:59 UTC; Joe.Blackford
Author: Joe Blackford [aut, cre]
Maintainer: Joe Blackford <joseph.blackford@outlook.com>
Repository: CRAN
Date/Publication: 2026-01-23 20:40:02 UTC

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Package webtrackR updated to version 0.3.2 with previous version 0.3.1 dated 2024-04-30

Title: Preprocessing and Analyzing Web Tracking Data
Description: Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).
Author: David Schoch [aut, cre] , Bernhard Clemm von Hohenberg [aut] , Frank Mangold [aut] , Sebastian Stier [aut]
Maintainer: David Schoch <david@schochastics.net>

Diff between webtrackR versions 0.3.1 dated 2024-04-30 and 0.3.2 dated 2026-01-23

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 11 files changed, 172 insertions(+), 169 deletions(-)

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Package textplot updated to version 0.2.3 with previous version 0.2.2 dated 2022-07-17

Title: Text Plots
Description: Visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering and semantic text 'embeddings'. Feel free to join the effort of providing interesting text visualisations. Do note that to avoid the risk of CRAN archival that you should put packages as much as possible in Suggests. Package 'ggalt' is available in the CRAN archive: <https://cran.r-project.org/package=ggalt>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Sacha Epskamp [ctb, cph] , Ingo Feinerer and Kurt Hornik [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between textplot versions 0.2.2 dated 2022-07-17 and 0.2.3 dated 2026-01-23

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Package SEQTaRget updated to version 1.3.4 with previous version 1.3.3 dated 2026-01-08

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

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Package ragnar updated to version 0.3.0 with previous version 0.2.1 dated 2025-08-19

Title: Retrieval-Augmented Generation (RAG) Workflows
Description: Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package OVL.CI updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-13

Title: Inference on the Overlap Coefficient
Description: Provides functions to construct confidence intervals for the Overlap Coefficient (OVL). OVL measures the similarity between two distributions through the overlapping area of their distribution functions. Given its intuitive description and ease of visual representation by the straightforward depiction of the amount of overlap between the two corresponding histograms based on samples of measurements from each one of the two distributions, the development of accurate methods for confidence interval construction can be useful for applied researchers. Implements methods based on the work of Franco-Pereira, A.M., Nakas, C.T., Reiser, B., and Pardo, M.C. (2021) <doi:10.1177/09622802211046386> as well as extensions for multimodal distributions proposed by Alcaraz-Peñalba, A., Franco-Pereira, A., and Pardo, M.C. (2025) <doi:10.1007/s10182-025-00545-2>.
Author: Alba M. Franco-Pereira [aut, cre, cph], Christos T. Nakas [aut], Benjamin Reiser [aut], M.Carmen Pardo [aut], Alba Alcaraz-Penalba [aut, cph]
Maintainer: Alba M. Franco-Pereira <albfranc@ucm.es>

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Package netClust readmission to version 1.0.2 with previous version 1.0.1 dated 2020-07-07

Title: Model-Based Clustering of Network Data
Description: Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of netClust.
Author: Shuchismita Sarkar [aut, cre], Volodymyr Melnykov [aut]
Maintainer: Shuchismita Sarkar <ssarkar@bgsu.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2020-07-07

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Package healthyR.ts readmission to version 0.3.2 with previous version 0.3.1 dated 2024-10-11

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2024-10-11

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Package ggfootball updated to version 0.3.0 with previous version 0.2.2 dated 2026-01-23

Title: Plotting Football Matches Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

Diff between ggfootball versions 0.2.2 dated 2026-01-23 and 0.3.0 dated 2026-01-23

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Package geocodebr updated to version 0.6.0 with previous version 0.5.0 dated 2025-12-09

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geocodebr versions 0.5.0 dated 2025-12-09 and 0.6.0 dated 2026-01-23

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Package fastgeojson updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-19

Title: High-Performance 'GeoJSON' and 'JSON' Serialization
Description: Converts R data frames and 'sf' spatial objects into 'JSON' and 'GeoJSON' strings. The core encoders are implemented in 'Rust' using the 'extendr' framework and are designed to efficiently serialize large tabular and spatial datasets. Returns serialized 'JSON' text, allowing applications such as 'shiny' or web APIs to transfer data to client-side 'JavaScript' libraries without additional encoding overhead.
Author: Alex Jorion [aut, cre], The authors of the dependency Rust crates [ctb]
Maintainer: Alex Jorion <alex.jorion@firstzeroenergy.com>

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Package dpkg updated to version 0.6.2 with previous version 0.6.1 dated 2025-01-08

Title: Create, Stow, and Read Data Packages
Description: Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>

Diff between dpkg versions 0.6.1 dated 2025-01-08 and 0.6.2 dated 2026-01-23

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Package carbonpredict updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-29

Title: Predict Carbon Emissions for UK SMEs
Description: Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data, as well as Scope 1 carbon emissions for UK farms. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. It also provides Scope 1 carbon emissions predictions for UK farms of types: Cereals ex. rice, Dairy, Mixed farming, Sheep and goats, Cattle & buffaloes, Poultry, Animal production and Support for crop production. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publications: Phillpotts, A., Owen. A., Norman, J., Trendl, A., Gathergood, J., Jobst, Norbert., Leake, D. (2025) <doi [...truncated...]
Author: Hamza Suleman [aut, cre, cph], Alec Phillpotts [ctb, aut], Jasmine Wells [ctb, aut], David Leake [ctb, aut]
Maintainer: Hamza Suleman <Hamza.Suleman@lloydsbanking.com>

Diff between carbonpredict versions 2.0.0 dated 2025-10-29 and 2.0.1 dated 2026-01-23

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Package vctrs updated to version 0.7.1 with previous version 0.7.0 dated 2026-01-16

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package propertee updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-28

Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.
Author: Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer: Josh Errickson <jerrick@umich.edu>

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Package mlr3summary updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-24

Title: Model and Learner Summaries for 'mlr3'
Description: Concise and interpretable summaries for machine learning models and learners of the 'mlr3' ecosystem. The package takes inspiration from the summary function for (generalized) linear models but extends it to non-parametric machine learning models, based on generalization performance, model complexity, feature importances and effects, and fairness metrics.
Author: Susanne Dandl [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut] , Giuseppe Casalicchio [aut] , Ludwig Bothmann [aut]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>

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Package dataRetrieval updated to version 2.7.22 with previous version 2.7.21 dated 2025-08-20

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joeseph Zemm [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Permanent link

Package Colossus updated to version 1.4.9 with previous version 1.4.6 dated 2025-12-16

Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Gray competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grants 80NSSC19M0161 and 80NSSC23M0129 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb] , Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb] , John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <egiunta@ksu.edu>

Diff between Colossus versions 1.4.6 dated 2025-12-16 and 1.4.9 dated 2026-01-23

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Permanent link

New package prepkit with initial version 0.1.1
Package: prepkit
Title: Data Normalization and Transformation
Version: 0.1.1
Description: Provides functions for data normalization and transformation in preprocessing stages. Implements scaling methods (min-max, Z-score, L2 normalization) and power transformations (Box-Cox, Yeo-Johnson). Box-Cox transformation is described in Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Yeo-Johnson transformation in Yeo and Johnson (2000) <doi:10.1093/biomet/87.4.954>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://gonrui.github.io/prepkit/, https://github.com/Gonrui/prepkit/
BugReports: https://github.com/Gonrui/prepkit/issues/
Language: en-US
Suggests: testthat (>= 3.0.0)
Imports: ggplot2
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-20 01:24:55 UTC; mini gong
Author: Rui Gong [aut, cre]
Maintainer: Rui Gong <gongrui4432@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 17:00:02 UTC

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Package admiralvaccine updated to version 0.6.0 with previous version 0.5.0 dated 2025-09-18

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Arjun Rubalingam [aut, cre], Sukalpo Saha [aut, ctb], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut] [...truncated...]
Maintainer: Arjun Rubalingam <arjun.rubalingam@pfizer.com>

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Package SCDB updated to version 0.6.0 with previous version 0.5.2 dated 2026-01-08

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

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Package nptest updated to version 1.2 with previous version 1.1 dated 2023-04-14

Title: Nonparametric Bootstrap and Permutation Tests
Description: Robust nonparametric bootstrap and permutation tests for goodness of fit, distribution equivalence, location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between nptest versions 1.1 dated 2023-04-14 and 1.2 dated 2026-01-23

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New package CTE with initial version 0.1.3
Package: CTE
Title: Constant Temperature Equivalent
Version: 0.1.3
Date: 2026-01-18
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>
Description: Under natural conditions, nest temperatures fluctuate daily around a mean value, whereas in captivity they are often held constant. The Constant Temperature Equivalent is designed to bridge the gap between the two by calculating a single temperature value for wild nests that corresponds with the amount of development that would occur in an incubator set to the same temperature. The theory and formulas behind this method were developed by Professor Author Georges and are implemented here as a single function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: dplyr,knitr,rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-20 00:05:15 UTC; Donald McKnight
Author: Donald T. McKnight [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 15:50:02 UTC

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Package arrow updated to version 23.0.0 with previous version 22.0.0.1 dated 2025-12-23

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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 arrow-23.0.0/arrow/NEWS.md                                                                  |   17 
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New package yfhist with initial version 0.1.3
Package: yfhist
Title: Yahoo Finance 'history' API
Version: 0.1.3
Date: 2026-01-19
Description: Simple and efficient access to Yahoo Finance's historical data API <https://finance.yahoo.com/> for querying and retrieval of financial data. The core functionality of the 'yfhist' package abstracts the complexities of interacting with Yahoo Finance APIs, such as session management, crumb and cookie handling, query construction, date validation, and interval management. This abstraction allows users to focus on retrieving data rather than managing API details. Use cases include historical data across a range of security types including equities & ETFs, indices, and other tickers. The package supports flexible query capabilities, including customizable date ranges, multiple time intervals, and automatic data validation. It automatically manages interval-specific limitations, such as lookback periods for intraday data and maximum date ranges for minute-level intervals. The implementation leverages standard HTTP libraries to handle API interactions efficiently and provides suppo [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/jasonjfoster/hist
BugReports: https://github.com/jasonjfoster/hist/issues
Depends: R (>= 3.5.0)
Imports: curl, jsonlite
Suggests: covr, testthat
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-19 21:02:59 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:30:02 UTC

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Package uncertainUCDP updated to version 0.7.6 with previous version 0.7.0 dated 2026-01-20

Title: Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data
Description: Provides functions for estimating uncertainty in the number of fatalities in the Uppsala Conflict Data Program (UCDP) data. The package implements a parametric reported-value Gumbel mixture distribution that accounts for the uncertainty in the number of fatalities in the UCDP data. The model is based on information from a survey on UCDP coders and how they view the uncertainty of the number of fatalities from UCDP events. The package provides functions for making random draws of fatalities from the mixture distribution, as well as to estimate percentiles, quantiles, means, and other statistics of the distribution. Full details on the survey and estimation procedure can be found in Vesco et al (2024).
Author: David Randahl [cre, aut]
Maintainer: David Randahl <david.randahl@pcr.uu.se>

Diff between uncertainUCDP versions 0.7.0 dated 2026-01-20 and 0.7.6 dated 2026-01-23

 DESCRIPTION               |   12 ++---
 MD5                       |   10 ++--
 NAMESPACE                 |    2 
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 6 files changed, 106 insertions(+), 33 deletions(-)

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New package sumer with initial version 1.0.0
Package: sumer
Title: Sumerian Cuneiform Text Analysis
Version: 1.0.0
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, and analyzing the structure of Sumerian words. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stringr, officer, xml2, dplyr, cli
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>
NeedsCompilation: no
Packaged: 2026-01-19 18:17:13 UTC; rowel
Author: Robin Wellmann [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 14:20:02 UTC

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New package mfcurve with initial version 1.0.2
Package: mfcurve
Title: Multi-Factor Curve Analysis for Grouped Data in 'R'
Version: 1.0.2
Maintainer: Maximilian Frank <maximilian.frank@psy.lmu.de>
Description: Implements multi-factor curve analysis for grouped data in 'R', replicating and extending the functionality of the the 'Stata' ado 'mfcurve' (Krähmer, 2023) <https://ideas.repec.org/c/boc/bocode/s459224.html>. Related to the idea of specification curve analysis (Simonsohn, Simmons, and Nelson, 2020) <doi:10.1038/s41562-020-0912-z>. Includes data preprocessing, statistical testing, and visualization of results with confidence intervals.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, stats, plotly, tidyr, tidyselect, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/XAM12/mfcurve_R
BugReports: https://github.com/XAM12/mfcurve_R/issues
NeedsCompilation: no
Packaged: 2026-01-19 22:10:32 UTC; ra35riq
Author: Maximilian Frank [aut, cre], Daniel Kraehmer [aut], Claudia Weileder [aut]
Repository: CRAN
Date/Publication: 2026-01-23 14:40:07 UTC

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New package joinspy with initial version 0.7.3
Package: joinspy
Title: Diagnostic Tools for Data Frame Joins
Version: 0.7.3
Language: en-US
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in Wickham (2014) <doi:10.18637/jss.v059.i10>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang
Suggests: dplyr, data.table, tibble, testthat (>= 3.0.0), knitr, rmarkdown, shiny, miniUI
VignetteBuilder: knitr
URL: https://gillescolling.com/joinspy/, https://github.com/gcol33/joinspy
BugReports: https://github.com/gcol33/joinspy/issues
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2026-01-19 20:31:30 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:30:06 UTC

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New package GimmeMyStats with initial version 1.0.0
Package: GimmeMyStats
Title: Statistics Utilities
Version: 1.0.0
Description: Facilitate reporting for regression and correlation modeling, hypothesis testing, variance analysis, outlier detection, and detailed descriptive statistics.
License: GPL-3
URL: https://github.com/ecamenen/GimmeMyStats, https://ecamenen.github.io/GimmeMyStats/
BugReports: https://github.com/ecamenen/GimmeMyStats/issues
Depends: magrittr, R (>= 3.8), tidyverse
Imports: dplyr, e1071, forcats, lme4, lmerTest, rstatix, stats, stringi, stringr, tidyr, tidyselect, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2026-01-19 17:00:12 UTC; etien
Author: Etienne Camenen [aut, cre]
Maintainer: Etienne Camenen <etienne.camenen@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:10:11 UTC

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Package ecospat updated to version 4.1.3 with previous version 4.1.2 dated 2025-01-31

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.2 dated 2025-01-31 and 4.1.3 dated 2026-01-23

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New package b32 with initial version 0.1.0
Package: b32
Title: Fast and Vectorized Base32 Encoding
Version: 0.1.0
Description: Fast, dependency free, and vectorized base32 encoding and decoding. 'b32' supports the Crockford, Z, RFC 4648 lower, hex, and lower hex alphabets.
License: MIT + file LICENSE
URL: https://github.com/extendr/b32, http://extendr.rs/b32/
Depends: R (>= 4.2)
Suggests: blob, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
NeedsCompilation: yes
Packaged: 2026-01-19 18:51:47 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:40:12 UTC

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Package aedseo updated to version 1.1.0 with previous version 1.0.1 dated 2025-11-20

Title: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
Description: A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Author: Sofia Myrup Otero [aut] , Kasper Schou Telkamp [aut] , Lasse Engbo Christiansen [aut, cre] , Rasmus Skytte Randloev [rev] , Statens Serum Institut, SSI [cph, fnd]
Maintainer: Lasse Engbo Christiansen <lsec@ssi.dk>

Diff between aedseo versions 1.0.1 dated 2025-11-20 and 1.1.0 dated 2026-01-23

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Package pheno updated to version 1.7-1 with previous version 1.7-0 dated 2022-05-12

Title: Auxiliary Functions for Phenological Data Analysis
Description: Provides some easy-to-use functions for time series analyses of (plant-) phenological data sets. These functions mainly deal with the estimation of combined phenological time series and are usually wrappers for functions that are already implemented in other R packages adapted to the special structure of phenological data and the needs of phenologists. Some date conversion functions to handle Julian dates are also provided.
Author: Joerg Schaber [aut], Maximilian Lange [cre]
Maintainer: Maximilian Lange <maximilian.lange@ufz.de>

Diff between pheno versions 1.7-0 dated 2022-05-12 and 1.7-1 dated 2026-01-23

 DESCRIPTION            |   14 +++++++++-----
 MD5                    |    6 +++---
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 4 files changed, 30 insertions(+), 26 deletions(-)

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Package ordinalgmifs updated to version 1.0.9 with previous version 1.0.8 dated 2023-05-05

Title: Ordinal Regression for High-Dimensional Data
Description: Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Author: Kellie J. Archer [aut, cre] , Jiayi Hou [aut], Qing Zhou [aut], Kyle Ferber [aut], John G. Layne [com, ctr], Amanda Gentry [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

Diff between ordinalgmifs versions 1.0.8 dated 2023-05-05 and 1.0.9 dated 2026-01-23

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Package modsem updated to version 1.0.16 with previous version 1.0.15 dated 2025-12-22

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between modsem versions 1.0.15 dated 2025-12-22 and 1.0.16 dated 2026-01-23

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 36 files changed, 1092 insertions(+), 527 deletions(-)

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Package MCSimMod updated to version 1.2 with previous version 1.0 dated 2025-08-19

Title: Working with 'MCSim' Models
Description: Tools that facilitate ordinary differential equation (ODE) modeling in 'R'. This package allows one to perform simulations for ODE models that are encoded in the GNU 'MCSim' model specification language (Bois, 2009) <doi:10.1093/bioinformatics/btp162> using ODE solvers from the 'R' package 'deSolve' (Soetaert et al., 2010) <doi:10.18637/jss.v033.i09>.
Author: Dustin F. Kapraun [aut, cre] , Todd J. Zurlinden [aut] , Andrew J. Shapiro [aut] , Ryan D. Friese [aut] , Frederic Y. Bois [ctb] , Free Software Foundation, Inc. [cph]
Maintainer: Dustin F. Kapraun <kapraun.dustin@epa.gov>

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Package kstMatrix updated to version 2.2-1 with previous version 2.2-0 dated 2025-12-18

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces developed by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package fioRa updated to version 0.3.7 with previous version 0.3.4 dated 2025-11-11

Title: Mass-Spectra Prediction Using the FIORA Model
Description: Provides a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky (2025) <doi:10.1038/s41467-025-57422-4>.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

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Package climate updated to version 1.2.7 with previous version 1.2.5 dated 2025-10-29

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meteorology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for searching geographical coordinates for each observation and calculate distances to the nearest stations.
Author: Bartosz Czernecki [aut, cre] , Arkadiusz Glogowski [aut] , Jakub Nowosad [aut] , IMGW-PIB [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

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Package admiralpeds updated to version 0.3.0 with previous version 0.2.1 dated 2025-08-20

Title: Pediatrics Extension Package for ADaM in 'R' Asset Library
Description: A toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package for pediatric clinical trials.
Author: Fanny Gautier [aut, cre] , Ross Farrugia [aut], Zelos Zhu [aut], Sukalpo Saha [aut], Lina Patil [aut], Samia Kabi [aut], Laura Liao [ctb], Remigiusz Kudlacz [ctb], Pierre Wallet [ctb], Amin Sherzad [ctb], David Freedman [ctb], Mahmoud Hamza [ctb], Cy [...truncated...]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

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Package z22 updated to version 1.1.4 with previous version 1.1.0 dated 2025-10-29

Title: Official Gridded Data from the German Census 2022
Description: Provides fast and easy access to German census grid data from the 2011 and 2022 censuses <https://www.zensus2022.de/>, including a wide range of socio-economic indicators at multiple spatial resolutions (100m, 1km, 10km). Enables efficient download, processing, and analysis of large census datasets covering population, households, families, dwellings, and buildings. Harmonized data structures allow direct comparison with the 2011 census, supporting temporal and spatial analyses. Facilitates conversion of data into common formats for spatial analysis and mapping ('terra', 'sf', 'ggplot2').
Author: Jonas Lieth [cre, aut, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

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Package fable updated to version 0.5.0 with previous version 0.4.1 dated 2024-11-04

Title: Forecasting Models for Tidy Time Series
Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] , Christoph Bergmeir [ctb] , Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ggrain updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-21

Title: A Rainclouds Geom for 'ggplot2'
Description: The 'geom_rain()' function adds different geoms together using 'ggplot2' to create raincloud plots.
Author: Nicholas Judd [aut, cre] , Jordy van Langen [aut] , Micah Allen [ctb] , Rogier Kievit [aut]
Maintainer: Nicholas Judd <nickkjudd@gmail.com>

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Package fanplot updated to version 4.0.1 with previous version 4.0.0 dated 2021-08-02

Title: Visualisation of Sequential Probability Distributions Using Fan Charts
Description: Visualise sequential distributions using a range of plotting styles. Sequential distribution data can be input as either simulations or values corresponding to percentiles over time. Plots are added to existing graphic devices using the fan function. Users can choose from four different styles, including fan chart type plots, where a set of coloured polygon, with shadings corresponding to the percentile values are layered to represent different uncertainty levels. Full details in R Journal article; Abel (2015) <doi:10.32614/RJ-2015-002>.
Author: Guy J. Abel [aut, cre]
Maintainer: Guy J. Abel <g.j.abel@gmail.com>

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Package SVEMnet updated to version 3.2.0 with previous version 3.1.4 dated 2025-11-28

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafted with assistance from generative AI tools.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package schumaker updated to version 1.2.2 with previous version 1.2.1 dated 2021-09-09

Title: Schumaker Shape-Preserving Spline
Description: This is a shape preserving spline <doi:10.1137/0720057> which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.
Author: Stuart Baumann [aut, cre], Margaryta Klymak [aut]
Maintainer: Stuart Baumann <stuart@stuartbaumann.com>

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Package rtpcr updated to version 2.1.2 with previous version 2.1.1 dated 2026-01-08

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

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Package rangr updated to version 1.0.9 with previous version 1.0.8 dated 2025-12-17

Title: Mechanistic Simulation of Species Range Dynamics
Description: Integrates population dynamics and dispersal into a mechanistic virtual species simulator. The package can be used to study the effects of environmental change on population growth and range shifts. It allows for simple and straightforward definition of population dynamics (including positive density dependence), extensive possibilities for defining dispersal kernels, and the ability to generate virtual ecologist data. Learn more about the 'rangr' at <https://docs.ropensci.org/rangr/>. This work was supported by the National Science Centre, Poland, grant no. 2018/29/B/NZ8/00066 and the Poznań Supercomputing and Networking Centre (grant no. pl0090-01).
Author: Katarzyna Markowska [aut, cre], Lechoslaw Kuczynski [aut], Tad Dallas [rev], Joanne Potts [rev]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>

Diff between rangr versions 1.0.8 dated 2025-12-17 and 1.0.9 dated 2026-01-23

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Package profoc updated to version 1.3.4 with previous version 1.3.3 dated 2024-09-21

Title: Probabilistic Forecast Combination Using CRPS Learning
Description: Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <doi:10.48550/arXiv.2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <doi:10.48550/arXiv.1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.
Author: Jonathan Berrisch [aut, cre] , Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>

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Package phenofit readmission to version 0.3.11 with previous version 0.3.10 dated 2025-05-25

Title: Extract Remote Sensing Vegetation Phenology
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI ti [...truncated...]
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>

This is a re-admission after prior archival of version 0.3.10 dated 2025-05-25

Diff between phenofit versions 0.3.10 dated 2025-05-25 and 0.3.11 dated 2026-01-23

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Package kit updated to version 0.0.21 with previous version 0.0.20 dated 2025-04-17

Title: Data Manipulation Functions Implemented in C
Description: Basic functions, implemented in C, for large data manipulation. Fast vectorised ifelse()/nested if()/switch() functions, psum()/pprod() functions equivalent to pmin()/pmax() plus others which are missing from base R. Most of these functions are callable at C level.
Author: Morgan Jacob [aut, cph], Sebastian Krantz [ctb, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package ggfootball readmission to version 0.2.2 with previous version 0.2.1 dated 2025-03-22

Title: Plotting Football Matches Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

This is a re-admission after prior archival of version 0.2.1 dated 2025-03-22

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Package genepop updated to version 1.2.14 with previous version 1.2.11 dated 2025-08-27

Title: Population Genetic Data Analysis Using Genepop
Description: Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
Author: Francois Rousset [aut, cre, cph] , Jimmy Lopez [ctb], Alexandre Genin [ctb], Khalid Belkhir [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package galaxias readmission to version 0.1.2 with previous version 0.1.1 dated 2025-10-22

Title: Describe, Package, and Share Biodiversity Data
Description: The Darwin Core data standard is widely used to share biodiversity information, most notably by the Global Biodiversity Information Facility and its partner nodes; but converting data to this standard can be tricky. 'galaxias' is functionally similar to 'devtools', but with a focus on building Darwin Core Archives rather than R packages, enabling data to be shared and re-used with relative ease. For details see Wieczorek and colleagues (2012) <doi:10.1371/journal.pone.0029715>.
Author: Martin Westgate [aut, cre], Shandiya Balasubramaniam [aut], Dax Kellie [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

This is a re-admission after prior archival of version 0.1.1 dated 2025-10-22

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Package bioregion updated to version 1.3.0 with previous version 1.2.0 dated 2025-01-31

Title: Comparison of Bioregionalization Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalization methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

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Package vbracket updated to version 1.1.0 with previous version 1.0.2 dated 2026-01-07

Title: Custom Legends with Statistical Comparison Brackets
Description: Add publication-quality custom legends with vertical brackets. Designed for displaying statistical comparisons between groups, commonly used in scientific publications for showing significance levels. Features include adaptive positioning, automatic bracket spacing for overlapping comparisons, font family inheritance, and support for asterisks, p-values, or custom labels. Compatible with 'ggplot2' graphics.
Author: Yoshiaki Sato [aut, cre]
Maintainer: Yoshiaki Sato <h20gg702@outlook.jp>

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Package vetr updated to version 0.2.20 with previous version 0.2.19 dated 2025-11-23

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] , R Core Team [cph] , Michael Chirico [ctb]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package uuid updated to version 1.2-2 with previous version 1.2-1 dated 2024-07-29

Title: Tools for Generating and Handling of UUIDs
Description: Tools for generating and handling of UUIDs (Universally Unique Identifiers).
Author: Simon Urbanek [aut, cre, cph] , Theodore Ts'o [aut, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

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Package tidyterra updated to version 1.0.0 with previous version 0.7.2 dated 2025-04-14

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Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
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Package ROCR updated to version 1.0-12 with previous version 1.0-11 dated 2020-05-02

Title: Visualizing the Performance of Scoring Classifiers
Description: ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
Author: Tobias Sing [aut], Oliver Sander [aut], Niko Beerenwinkel [aut], Thomas Lengauer [aut], Thomas Unterthiner [ctb], Felix G.M. Ernst [cre]
Maintainer: Felix G.M. Ernst <felix.gm.ernst@outlook.com>

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Package Rdpack updated to version 2.6.5 with previous version 2.6.4 dated 2025-04-08

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre] , Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package pdp updated to version 0.8.3 with previous version 0.8.2 dated 2024-10-28

Title: Partial Dependence Plots
Description: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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Package neonUtilities updated to version 3.0.3 with previous version 3.0.2 dated 2025-09-26

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package minty updated to version 0.0.6 with previous version 0.0.5 dated 2025-01-07

Title: Minimal Type Guesser
Description: Port the type guesser from 'readr' (so-called 'readr' first edition parsing engine, now superseded by 'vroom').
Author: Chung-hong Chan [aut, cre] , Hadley Wickham [aut] , Jim Hester [aut] , Romain Francois [ctb] , Jennifer Bryan [aut] , Shelby Bearrows [ctb] , Posit Software, PBC [cph] , David Olson [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package merTools updated to version 0.6.4 with previous version 0.6.3 dated 2025-09-05

Title: Tools for Analyzing Mixed Effect Regression Models
Description: Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer: Jared E. Knowles <jared@civilytics.com>

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Package kmer updated to version 1.1.3 with previous version 1.1.2 dated 2019-05-20

Title: Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Description: Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package HRW updated to version 1.0-6 with previous version 1.0-5 dated 2021-11-23

Title: Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018)
Description: The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.
Author: Jaroslaw Harezlak [aut], David Ruppert [aut], Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>

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Package giscoR updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-10

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between giscoR versions 1.0.0 dated 2025-12-10 and 1.0.1 dated 2026-01-23

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Package aphid updated to version 1.3.6 with previous version 1.3.5 dated 2022-12-05

Title: Analysis with Profile Hidden Markov Models
Description: Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

Diff between aphid versions 1.3.5 dated 2022-12-05 and 1.3.6 dated 2026-01-23

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Thu, 22 Jan 2026

Package xdvir updated to version 0.2-0 with previous version 0.1-3 dated 2025-07-15

Title: Render 'LaTeX' in Plots
Description: High-level functions to render 'LaTeX' fragments in plots, including as labels and data symbols in 'ggplot2' plots, plus low-level functions to author 'LaTeX' fragments (to produce 'LaTeX' documents), typeset 'LaTeX' documents (to produce 'DVI' files), read 'DVI' files (to produce "DVI" objects), and render "DVI" objects.
Author: Paul Murrell [aut, cre]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package pccc updated to version 1.0.7 with previous version 1.0.6 dated 2025-05-16

Title: Pediatric Complex Chronic Conditions
Description: An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.
Author: Peter DeWitt [aut] , Tell Bennett [ctb] , James Feinstein [aut] , Seth Russell [aut, cre]
Maintainer: Seth Russell <seth.russell@cuanschutz.edu>

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Package RcppXsimd updated to version 7.1.6-2 with previous version 7.1.6-1 dated 2025-11-29

Title: Xsimd C++ Header-Only Library Files
Description: This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.
Author: Marc A. Suchard [aut, cre], Andrew J. Holbrook [aut], Observational Health Data Sciences and Informatics [cph], Johan Mabille [cph, ctb] , Sylvain Corlay [cph, ctb] , Alexander J. Lee [cph, ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between RcppXsimd versions 7.1.6-1 dated 2025-11-29 and 7.1.6-2 dated 2026-01-22

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Package ganttify updated to version 0.2.1 with previous version 0.1.8 dated 2025-12-19

Title: Create Interactive Gantt Charts with Work Breakdown Structure
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of 'plotly' for interactive visualizations.
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>

Diff between ganttify versions 0.1.8 dated 2025-12-19 and 0.2.1 dated 2026-01-22

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Package sugarbag updated to version 0.1.10 with previous version 0.1.9 dated 2025-12-06

Title: Create Tessellated Hexagon Maps
Description: Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
Author: Dianne Cook [aut, cre, ths] , Stephanie Kobakian [aut] , Matt Cowgill [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

Diff between sugarbag versions 0.1.9 dated 2025-12-06 and 0.1.10 dated 2026-01-22

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Package tidypopgen updated to version 0.4.2 with previous version 0.4.1 dated 2025-12-20

Title: Tidy Population Genetics
Description: We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) <doi:10.1111/2041-210x.70204>.
Author: Evie Carter [aut], Eirlys Tysall [aut], Andrea Manica [aut, cre, cph] , Chang Christopher [ctb] ), Shaun Purcell [ctb] ), Bengtsson Henrik [ctb] )
Maintainer: Andrea Manica <am315@cam.ac.uk>

Diff between tidypopgen versions 0.4.1 dated 2025-12-20 and 0.4.2 dated 2026-01-22

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New package SurveyStat with initial version 1.0.3
Package: SurveyStat
Title: Survey Data Cleaning, Weighting and Analysis
Version: 1.0.3
Description: Provides utilities for cleaning survey data, computing weights, and performing descriptive statistical analysis. Methods follow Lohr (2019, ISBN:978-0367272454) "Sampling: Design and Analysis" and Lumley (2010) <doi:10.1002/9780470580066>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, ggplot2, rlang, stats
Suggests: knitr, rmarkdown, markdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-19 05:21:43 UTC; HP Computers
Author: Muhammad Ali [aut, cre]
Maintainer: Muhammad Ali <aliawan1170@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:20:02 UTC

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New package NPStability with initial version 0.1.0
Package: NPStability
Title: Rank-Based Stability Index (RSI) for Genotype by Environment Studies
Version: 0.1.0
Description: Provides functions to compute the Rank-Based Stability Index (RSI) for genotype by environment interaction data, along with a genotype plus genotype-by-environment (GGE) style biplot visualization of stability.
Depends: R (>= 4.0)
Imports: dplyr, tidyr, rlang, ggplot2
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-19 11:27:59 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Sunil Kumar Yadav [aut], Amrit Kumar Paul [aut]
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:30:12 UTC

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New package MATES with initial version 0.1
Package: MATES
Title: Multi-View Aggregated Two Sample Tests
Version: 0.1
Maintainer: Zexi Cai <zc2626@columbia.edu>
Depends: R (>= 3.3.0)
Description: Implements the Multi-view Aggregated Two-Sample (MATES) test, a powerful nonparametric method for testing equality of two multivariate distributions. The method constructs multiple graph-based statistics from various perspectives (views) including different distance metrics, graph types (nearest neighbor graphs, minimum spanning trees, and robust nearest neighbor graphs), and weighting schemes. These statistics are then aggregated through a quadratic form to achieve improved statistical power. The package provides both asymptotic closed-form inference and permutation-based testing procedures. For methodological details, see Cai and others (2026+) <doi:10.48550/arXiv.2412.16684>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ZexiCAI/MATES
BugReports: https://github.com/ZexiCAI/MATES/issues
LinkingTo: Rcpp
Imports: Rcpp, ade4, MASS, magrittr
NeedsCompilation: yes
Packaged: 2026-01-19 11:30:37 UTC; Zexi Cai
Author: Zexi Cai [aut, cre] , Mingshuo Liu [aut, ctb] , Wenbo Fei [aut, ctb] , Doudou Zhou [aut, ctb]
Repository: CRAN
Date/Publication: 2026-01-22 21:40:07 UTC

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New package futurize with initial version 0.1.0
Package: futurize
Version: 0.1.0
Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have an convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that be "futurized" are 'BiocParallel', 'plyr', 'crossmap' packages. There is also support for growing set of domain-specific packages, including 'boot', 'glmnet', 'mgcv', 'lme4', and 'tm'.
License: GPL (>= 3)
URL: https://www.futureverse.org, https://github.com/futureverse/
Depends: R (>= 4.1.0), future (> 1.58.0)
Suggests: future.apply, foreach, doFuture, purrr, furrr, crossmap, plyr, BiocParallel, glmnet, boot, lme4, mgcv, tm, tools, commonmark, base64enc
VignetteBuilder: futurize
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-18 16:58:50 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:10:02 UTC

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New package alphavantagepf with initial version 0.3.2
Package: alphavantagepf
Title: Comprehensive R Wrapper for 'Alphavantage Financial Data' API
Version: 0.3.2
Description: Download 'Alphavantage financial data' <https://www.alphavantage.co/documentation/> to reduced 'data.table' objects. Includes support functions to extract and simplify complex data returned from API calls.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), data.table, glue (>= 1.1.1), httr (>= 1.2.1), jsonlite (>= 1.5), purrr (>= 1.0), readr (>= 1.1.1), stringr (>= 1.2.0), timeDate (>= 4000.0), lubridate (>= 1.0.0), utils (>= 4.0.0), tidyr (>= 0.6.3)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/derekholmes0/alphavantagepf
BugReports: https://github.com/derekholmes0/alphavantagepf/issues
NeedsCompilation: no
Packaged: 2026-01-19 13:33:02 UTC; DFH
Author: Derek Holmes [aut, cre, cph], Matt Dancho [ctb]
Maintainer: Derek Holmes <derek@derekholmes.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:40:02 UTC

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New package valytics with initial version 0.3.0
Package: valytics
Title: Statistical Methods for Analytical Method Comparison and Validation
Version: 0.3.0
Description: Provides statistical methods for analytical method comparison and validation studies. Implements Bland-Altman analysis for assessing agreement between measurement methods (Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>), Passing-Bablok regression for non-parametric method comparison (Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>), and Deming regression accounting for measurement error in both variables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also includes tools for setting quality goals based on biological variation (Fraser & Petersen (1993) <doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma metrics. Commonly used in clinical laboratory method validation. Provides publication-ready plots and comprehensive statistical summaries.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, robslopes
Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.22)
URL: https://github.com/marcellogr/valytics
BugReports: https://github.com/marcellogr/valytics/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-18 13:52:29 UTC; MarcelloG
Author: Marcello Grassi [aut, cre]
Maintainer: Marcello Grassi <marcello.grassi@tum.de>
Repository: CRAN
Date/Publication: 2026-01-22 21:00:02 UTC

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Package BTSR updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-18

Title: Bounded Time Series Regression
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in FORTRAN, which translates into very fast algorithms.
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb] ), Cleve Moler [ctb] ), Gilbert Wright Stewart [ctb] ), Ciyou Zhu [ctb] , Richard H. Byrd [ctb] , Jorge Nocedal [ctb] , Jose L [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

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Package HVT updated to version 26.1.1 with previous version 25.2.8 dated 2025-12-18

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut, cre], Mu Sigma, Inc. [cph]
Maintainer: Zubin Dowlaty <zubin.dowlaty@mu-sigma.com>

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Package tgml updated to version 0.4.0 with previous version 0.3.0 dated 2025-12-11

Title: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics
Description: Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

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Package mrgsolve updated to version 1.7.2 with previous version 1.6.1 dated 2025-08-22

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] , Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] , Dilawar Singh [ctb], Felicien Le Louedec [ctb] , Timothy Waterhouse [ctb] , Kyle Meyer [ctb], Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package gbm updated to version 2.2.3 with previous version 2.2.2 dated 2024-06-28

Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
Author: Greg Ridgeway [aut, cre] , Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb] , Bradley Boehmke [ctb] , Jay Cunningham [ctb], GBM Developers [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package topologyR updated to version 0.1.2 with previous version 0.1.1 dated 2025-10-03

Title: Topological Connectivity Analysis for Numeric Data
Description: Description: Implementation of topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. The core algorithm constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.4726> "New types of topological structures via graphs".
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package rtodoist updated to version 0.2.0 with previous version 0.1.0 dated 2020-05-14

Title: Create and Manage Todolist using 'Todoist.com' API
Description: Allows you to interact with the API of the "Todoist" platform. 'Todoist' <https://www.todoist.com/> provides an online task manager service for teams.
Author: Cervan Girard [cre, aut] , Vincent Guyader [aut] , ThinkR [cph, fnd]
Maintainer: Cervan Girard <cervan@thinkr.fr>

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Package ripc updated to version 1.0.0 with previous version 0.3.2 dated 2026-01-10

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Giulia Martini [aut, cre, cph]
Maintainer: Giulia Martini <giulia.martini@un.org>

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Package myownrobs updated to version 1.0.0 with previous version 0.1.0 dated 2025-09-30

Title: AI Coding Agent for 'RStudio'
Description: Provides an 'RStudio' extension with a chat interface for an AI coding agent to help users with R programming tasks.
Author: Juan Cruz Rodriguez [aut, cre]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

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Package AEenrich updated to version 1.1.1 with previous version 1.1.0 dated 2021-11-01

Title: Adverse Event Enrichment Tests
Description: We extend existing gene enrichment tests to perform adverse event enrichment analysis. Unlike the continuous gene expression data, adverse event data are counts. Therefore, adverse event data has many zeros and ties. We propose two enrichment tests. One is a modified Fisher's exact test based on pre-selected significant adverse events, while the other is based on a modified Kolmogorov-Smirnov statistic. We add Covariate adjustment to improve the analysis."Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <doi:10.48550/arXiv.2007.02266>.
Author: Shuoran Li [aut], Hongfan Chen [aut], Lili Zhao [aut], Michael Kleinsasser [aut, cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>

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Package scam updated to version 1.2-21 with previous version 1.2-20 dated 2025-10-14

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

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Package ptw updated to version 1.9-17 with previous version 1.9-16 dated 2022-01-19

Title: Parametric Time Warping
Description: Parametric Time Warping aligns patterns, i.e., it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site. See `citation("ptw")` for more details.
Author: Jan Gerretzen [ctb], Paul Eilers [aut], Hans Wouters [ctb], Tom Bloemberg [aut], Ron Wehrens [aut, cre]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

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Package lessR updated to version 4.5.1 with previous version 4.5 dated 2025-12-11

Title: Less Code with More Comprehensive Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts. Other functions provide data aggregation via pivot tables; comprehensive regression, ANOVA, and t-test; visualizations including integrated Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve; reading multiple data formats with the same call; variable labels; time series with aggregation and forecasting; color themes; and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple-indicator measurement models, pedagogical routines for data simulation (e.g., Central Limit Theorem), generation and rendering of regression instructions for interpretative output, and both interactive construction of visualizations and interactive visualizations with plotly.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package fitdistrplus updated to version 1.2-5 with previous version 1.2-4 dated 2025-07-03

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut] , Christophe Dutang [aut] , Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package netdose updated to version 0.7-4 with previous version 0.7-3 dated 2026-01-13

Title: Dose-Response Network Meta-Analysis in a Frequentist Way
Description: A set of functions providing the implementation of the network meta-analysis model with dose-response relationships, predicted values of the fitted model and dose-response plots in a frequentist way.
Author: Maria Petropoulou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Maria Petropoulou <m.petropoulou.a@gmail.com>

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Package knfi updated to version 1.0.2 with previous version 1.0.1.9 dated 2024-12-03

Title: Analysis of Korean National Forest Inventory Database
Description: Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where read_nfi() function reconstructs NFI data according to the researcher's needs while [...truncated...]
Author: Sinyoung Park [aut, cre] , Wonhee Cho [aut, ctb] , Inyoo Kim [aut, ctb] , Wontaek Lim [aut, ctb] , Dongwook W. Ko [aut, ths]
Maintainer: Sinyoung Park <youngsin0306@kookmin.ac.kr>

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Package circle updated to version 0.7.4 with previous version 0.7.3 dated 2024-07-31

Title: R Client Package for Circle CI
Description: Tools for interacting with the 'Circle CI' API (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such as querying build logs and restarting builds, this package also helps setting up permissions to deploy from builds.
Author: David Munoz Tord [cre, ctb], Patrick Schratz [aut] , Max Joseph [rev] , Sharla Gelfand [rev]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package rsurvstat updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-17

Title: Download Infectious Disease Data from 'SurvStat' (Robert Koch Institute)
Description: Provides an interface to the 'SurvStat' web service from the Robert Koch Institute (<https://tools.rki.de/SurvStat/SurvStatWebService.svc>) allowing downloads of disease time series stratified by pathogen type and subtype, age, and geography from notifiable disease reports in Germany.
Author: Robert Challen [aut, cre] , Bristol Vaccine Centre [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

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Package r2sundials updated to version 7.2.1-4 with previous version 7.2.1-3 dated 2025-04-10

Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:1 [...truncated...]
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package kohonen updated to version 3.0.13 with previous version 3.0.12 dated 2023-06-09

Title: Supervised and Unsupervised Self-Organising Maps
Description: Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
Author: Ron Wehrens [aut, cre], Johannes Kruisselbrink [aut]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between kohonen versions 3.0.12 dated 2023-06-09 and 3.0.13 dated 2026-01-22

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Package desla updated to version 0.3.1 with previous version 0.3.0 dated 2023-06-29

Title: Desparsified Lasso Inference for Time Series
Description: Calculates the desparsified lasso as originally introduced in van de Geer et al. (2014) <doi:10.1214/14-AOS1221>, and provides inference suitable for high-dimensional time series, based on the long run covariance estimator in Adamek et al. (2020) <doi:10.48550/arXiv.2007.10952>. Also estimates high-dimensional local projections by the desparsified lasso, as described in Adamek et al. (2022) <doi:10.48550/arXiv.2209.03218>.
Author: Robert Adamek [cre, aut], Stephan Smeekes [aut], Ines Wilms [aut]
Maintainer: Robert Adamek <robertadamek94@gmail.com>

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Package caugi updated to version 1.0.0 with previous version 0.3.1 dated 2025-12-04

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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New package vald.extractor with initial version 0.1.0
Package: vald.extractor
Title: Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis
Version: 0.1.0
Description: Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, httr, jsonlite, data.table, ggplot2, dplyr, tidyr, stringr, lubridate, valdr, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/praveenmaths89/vald.extractor
BugReports: https://github.com/praveenmaths89/vald.extractor/issues
NeedsCompilation: no
Packaged: 2026-01-17 20:19:56 UTC; apple
Author: Praveen D Chougale [aut, cre], Usha Anathakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:40:02 UTC

More information about vald.extractor at CRAN
Permanent link

Package sumExtras updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-19

Title: Extra Functions for 'gtsummary' Table Styling
Description: Provides additional convenience functions for 'gtsummary' (Sjoberg et al. (2021) <doi:10.32614/RJ-2021-053>) & 'gt' tables, including automatic variable labeling from dictionaries, standardized missing value display, and consistent formatting helpers for streamlined table styling workflows.
Author: Kyle Grealis [aut, cre] , Raymond Balise [ctb] , Daniel Maya [ctb]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

Diff between sumExtras versions 0.2.0 dated 2026-01-19 and 0.3.0 dated 2026-01-22

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New package read.abares with initial version 2.0.0
Package: read.abares
Title: Read Data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Bureau of Statistics (ABS)
Version: 2.0.0
Description: Download and import agricultural data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) <https://www.agriculture.gov.au/abares> and Australian Bureau of Statistics (ABS) <https://www.abs.gov.au>. Data types serviced include spreadsheets, comma separated value (CSV) files, geospatial data including shape files and geotiffs covering topics including broadacre crops, livestock, soil data, commodities and more. Unifies field names and formats for data interoperability making analysis easier by standardising names between data formats. Also simplifies importing geospatial data as well as correcting issues in the geospatial data upon import.
License: MIT + file LICENSE
URL: https://github.com/ropensci/read.abares, https://docs.ropensci.org/read.abares/
BugReports: https://github.com/ropensci/read.abares/issues
Depends: R (>= 4.1.0)
Imports: brio, cli, data.table, fs, htm2txt, httr2, lubridate, purrr, readxl, rlang, sf, stars, stringr, terra, tidync, utils, whoami, withr
Suggests: bit64, knitr, openxlsx, pander, rmarkdown, roxyglobals, skimr, spelling, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-17 04:47:29 UTC; adamsparks
Author: Adam H. Sparks [cre, aut] , Curtin University [fnd, cph] , Grains Research and Development Corporation [fnd, cph] , ROR: <https://ror.org/02xwr1996>), Jacob Wujciak-Jens [ctb] , Nicholas Potter [rev] , Maria Paula Caldas [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:30:02 UTC

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Package mwa updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-29

Title: Causal Inference in Spatiotemporal Event Data
Description: Implementation of Matched Wake Analysis (mwa) for studying causal relationships in spatiotemporal event data, introduced by Schutte and Donnay (2014) <doi:10.1016/j.polgeo.2014.03.001>.
Author: Sebastian Schutte [aut], Karsten Donnay [aut, cre]
Maintainer: Karsten Donnay <kdonnay@gmx.net>

Diff between mwa versions 0.5.0 dated 2025-09-29 and 0.5.1 dated 2026-01-22

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New package LCPA with initial version 1.0.0
Package: LCPA
Title: A General Framework for Latent Classify and Profile Analysis
Version: 1.0.0
Date: 2026-01-10
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: A unified latent class modeling framework that encompasses both latent class analysis (LCA) and latent profile analysis (LPA), offering a one-stop solution for latent class modeling. It implements state-of-the-art parameter estimation methods, including the expectation–maximization (EM) algorithm, neural network estimation (NNE; requires users to have 'Python' and its dependent libraries installed on their computer), and integration with 'Mplus' (requires users to have 'Mplus' installed on their computer). In addition, it provides commonly used model fit indices such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as classification accuracy measures such as entropy. The package also includes fully functional likelihood ratio tests (LRT) and bootstrap likelihood ratio tests (BLRT) to facilitate model comparison, along with bootstrap-based and observed information matrix-based standard error estimation. Furthermore, it supports the standard thr [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: reticulate, clue, ggplot2, tidyr, dplyr, mvtnorm, Matrix, MASS, MplusAutomation, tidyselect, numDeriv, nloptr, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Packaged: 2026-01-17 09:40:24 UTC; Haiji
Date/Publication: 2026-01-22 09:40:08 UTC

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New package horsey with initial version 1.0.1
Package: horsey
Title: Access to the 'Lichess' API
Version: 1.0.1
Description: Package that accesses the 'Lichess' API (<https://lichess.org/api>). Supports both authenticated and unauthenticated requests. Basic functionality for game and player analysis.
License: MIT + file LICENSE
URL: https://github.com/kylehamilton/horsey
BugReports: https://github.com/kylehamilton/horsey/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble, dplyr, stringr, cli, rlang
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-16 22:32:05 UTC; kyleh
Author: W. Kyle Hamilton [aut, cre]
Maintainer: W. Kyle Hamilton <kyle.hamilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:02 UTC

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New package cycleTrendR with initial version 0.2.0
Package: cycleTrendR
Title: Adaptive Cycle and Trend Analysis for Irregular Time Series
Version: 0.2.0
URL: https://github.com/PietroPiu-labstats/cycleTrendR
Description: Provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb–Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.
License: GPL-3
Encoding: UTF-8
Imports: blocklength, fANCOVA, ggplot2, lomb, gridExtra, changepoint, mgcv, dplyr, nortest, nlme, magrittr, tseries
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-01-16 22:25:57 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:07 UTC

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Package spBFA (with last version 1.5.0) was removed from CRAN

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

2026-01-07 1.5.0
2025-09-30 1.4.0
2023-03-21 1.3
2022-09-04 1.2
2021-04-27 1.1

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Package simsurv updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-13

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see [...truncated...]
Author: Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]
Maintainer: Sam Brilleman <sam.brilleman@gmail.com>

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Package prophet updated to version 1.1.7 with previous version 1.0 dated 2021-03-30

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Author: Cuong Duong [cre, aut], Sean Taylor [aut], Ben Letham [aut]
Maintainer: Cuong Duong <cuong.duong242@gmail.com>

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Package lagsarlmtree updated to version 1.0-2 with previous version 1.0-1 dated 2019-04-08

Title: Spatial Lag Model Trees
Description: Model-based linear model trees adjusting for spatial correlation using a simultaneous autoregressive spatial lag, Wagner and Zeileis (2019) <doi:10.1111/geer.12146>.
Author: Martin Wagner [aut] , Achim Zeileis [aut, cre] , Roger Bivand [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package edgemodelr readmission to version 0.1.4 with previous version 0.1.0 dated 2025-09-22

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb]
Maintainer: Pawan Rama Mali <prm@outlook.in>

This is a re-admission after prior archival of version 0.1.0 dated 2025-09-22

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New package bertopicr with initial version 0.3.6
Package: bertopicr
Title: Topic Modeling with 'BERTopic'
Version: 0.3.6
Description: Provides topic modeling and visualization by interfacing with the 'BERTopic' library for 'Python' via 'reticulate'. See Grootendorst (2022) <doi:10.48550/arXiv.2203.05794>.
Imports: dplyr, tidyr, purrr, utils, reticulate, stringr, tibble, htmltools, readr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, tictoc, wordcloud2
SystemRequirements: Python (>= 3.8); BERTopic and Python packages: sentence-transformers, umap-learn, hdbscan, scikit-learn
VignetteBuilder: knitr
URL: https://tpetric7.github.io/bertopicr/
NeedsCompilation: no
Packaged: 2026-01-16 19:19:21 UTC; teodo
Author: Teodor Petric [aut, cre]
Maintainer: Teodor Petric <teodor.petric@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:00:07 UTC

More information about bertopicr at CRAN
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Package yhatr (with last version 0.15.1) was removed from CRAN

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

2017-05-09 0.15.1
2016-09-06 0.15.0
2016-02-12 0.13.10
2016-02-11 0.13.9
2015-07-29 0.13.7
2015-06-19 0.13.6
2015-03-06 0.13.4
2014-12-17 0.13.2
2014-11-21 0.13.1
2014-07-19 0.12.1
2014-06-25 0.11.0
2014-06-09 0.10.0
2014-05-28 0.9.1
2014-05-19 0.9.0
2014-03-13 0.8.1
2014-02-28 0.8
2014-02-12 0.7
2013-12-06 0.6
2013-11-11 0.5
2013-10-28 0.4
2013-08-13 0.3
2013-08-06 0.2
2013-05-09 0.1

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Package networkGen (with last version 0.1.1) was removed from CRAN

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

2017-12-04 0.1.1
2017-07-08 0.1.0

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Package capn (with last version 1.0.0) was removed from CRAN

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

2017-06-05 1.0.0

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

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

2023-11-16 0.1.0

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Package Canopy (with last version 1.3.0) was removed from CRAN

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

2017-12-18 1.3.0
2017-04-08 1.2.0
2016-09-02 1.1.1
2015-10-29 1.0.0

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Package validann (with last version 1.2.1) was removed from CRAN

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

2017-04-20 1.2.1
2016-11-16 1.2.0
2016-11-08 1.1.0
2016-07-21 1.0.0

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Package MR.RGM updated to version 0.1.0 with previous version 0.0.5 dated 2025-09-29

Title: Fitting Multivariate Bidirectional Mendelian Randomization Networks Using Bayesian Directed Cyclic Graphical Models
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. The resulting Graph visually represents these causal connections, showing directed edges with effect sizes labeled. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. The [...truncated...]
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitan@tamu.edu>

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 44 files changed, 2051 insertions(+), 743 deletions(-)

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Package WASP updated to version 1.4.5 with previous version 1.4.4 dated 2024-07-20

Title: Wavelet System Prediction
Description: The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Author: Ze Jiang [aut, cre] , Md. Mamunur Rashid [aut] , Ashish Sharma [aut] , Fiona Johnson [aut]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

Diff between WASP versions 1.4.4 dated 2024-07-20 and 1.4.5 dated 2026-01-22

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Package spatstat.explore updated to version 3.7-0 with previous version 3.6-0 dated 2025-11-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.explore versions 3.6-0 dated 2025-11-22 and 3.7-0 dated 2026-01-22

 DESCRIPTION                      |   18 +--
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 90 files changed, 828 insertions(+), 417 deletions(-)

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Package rice updated to version 1.6.2 with previous version 1.6.0 dated 2026-01-08

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

Diff between rice versions 1.6.0 dated 2026-01-08 and 1.6.2 dated 2026-01-22

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More information about rice at CRAN
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