Wed, 14 Jan 2026

New package toxdrc with initial version 1.0.1
Package: toxdrc
Title: Pipeline for Dose-Response Curve Analysis
Version: 1.0.1
Description: Provides a variety of tools for assessing dose response curves, with an emphasis on toxicity test data. The main feature of this package are modular functions which can be combined through the namesake pipeline, 'runtoxdrc', to automate the analysis for large and complex datasets. This includes optional data preprocessing steps, like outlier detection, solvent effects, blank correction, averaging technical replicates, and much more. Additionally, this pipeline is adaptable to any long form dataset, and does not require specific column or group naming to work.
Maintainer: Jack Salole <salolej@mcmaster.ca>
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jsalole/toxdrc
BugReports: https://github.com/jsalole/toxdrc/issues
Imports: dplyr, magrittr, outliers, purrr, rlang, stats, drc
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-09 17:19:21 UTC; jack
Author: Jack Salole [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-14 09:10:02 UTC

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New package nimbleQuad with initial version 1.4.0
Package: nimbleQuad
Title: Laplace Approximation, Quadrature, and Nested Deterministic Approximation Methods for 'nimble'
Description: Provides deterministic approximation methods for use with the 'nimble' package. These include Laplace approximation and higher-order extension of Laplace approximation using adaptive Gauss-Hermite quadrature (AGHQ), plus nested deterministic approximation methods related to the 'INLA' approach. Additional information is available in the NIMBLE User Manual and a 'nimbleQuad' tutorial, both available at <https://r-nimble.org/documentation.html>.
Version: 1.4.0
Date: 2026-01-08
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Depends: R (>= 3.5.0), nimble (>= 1.4.0)
Imports: methods, R6, pracma, polynom
Suggests: testthat, mvQuad, faraway
License: BSD_3_clause + file LICENSE | GPL (>= 2)
Copyright: See COPYRIGHTS file.
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-09 17:32:12 UTC; paciorek
Author: Paul van Dam-Bates [aut], Perry de Valpine [aut], Wei Zhang [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut]
Repository: CRAN
Date/Publication: 2026-01-14 09:10:08 UTC

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Package MedxR updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-16

Title: Access Drug Regulatory Data via FDA and Health Canada APIs
Description: Provides functions to access drug regulatory data from public RESTful APIs including the 'FDA Open API' and the 'Health Canada Drug Product Database API', retrieving real-time or historical information on drug approvals, adverse events, recalls, and product details. Additionally, the package includes a curated collection of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies. These datasets cover diverse topics such as treatment dosages, pharmacological studies, placebo effects, drug reactions, misuses of pain relievers, and vaccine effectiveness. The package supports reproducible research and teaching in pharmacology, medicine, and healthcare by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'FDA API' <https://open.fda.gov/apis/> and 'Health Canada API' <https://health-products.canada.ca/api/documentation/dpd-documentation-en.html>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between MedxR versions 0.1.0 dated 2025-10-16 and 0.1.1 dated 2026-01-14

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Package MAINT.Data updated to version 2.7.4 with previous version 2.7.3 dated 2026-01-08

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

Diff between MAINT.Data versions 2.7.3 dated 2026-01-08 and 2.7.4 dated 2026-01-14

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Package blockForest updated to version 0.2.7 with previous version 0.2.6 dated 2023-03-31

Title: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data
Description: A random forest variant 'block forest' ('BlockForest') tailored to the prediction of binary, survival and continuous outcomes using block-structured covariate data, for example, clinical covariates plus measurements of a certain omics data type or multi-omics data, that is, data for which measurements of different types of omics data and/or clinical data for each patient exist. Examples of different omics data types include gene expression measurements, mutation data and copy number variation measurements. Block forest are presented in Hornung & Wright (2019). The package includes four other random forest variants for multi-omics data: 'RandomBlock', 'BlockVarSel', 'VarProb', and 'SplitWeights'. These were also considered in Hornung & Wright (2019), but performed worse than block forest in their comparison study based on 20 real multi-omics data sets. Therefore, we recommend to use block forest ('BlockForest') in applications. The other random forest variants can, however, be c [...truncated...]
Author: Marvin N. Wright [aut, cre], Roman Hornung [aut]
Maintainer: Marvin N. Wright <cran@wrig.de>

Diff between blockForest versions 0.2.6 dated 2023-03-31 and 0.2.7 dated 2026-01-14

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Package blob updated to version 1.3.0 with previous version 1.2.4 dated 2023-03-17

Title: A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS')
Description: R's raw vector is useful for storing a single binary object. What if you want to put a vector of them in a data frame? The 'blob' package provides the blob object, a list of raw vectors, suitable for use as a column in data frame.
Author: Hadley Wickham [aut], Kirill Mueller [cre], RStudio [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between blob versions 1.2.4 dated 2023-03-17 and 1.3.0 dated 2026-01-14

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New package bayesDiagnostics with initial version 0.1.0
Package: bayesDiagnostics
Title: Comprehensive Bayesian Model Diagnostics and Comparison Tools
Version: 0.1.0
Description: Provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) <doi:10.1201/b16018>), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) <doi:10.1007/s11222-016-9696-4>), convergence diagnostics, and prior elicitation tools. Integrates with 'brms' (Burkner (2017) <doi:10.18637/jss.v080.i01>), 'rstan', and 'rstanarm' packages for comprehensive Bayesian workflow diagnostics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: brms (>= 2.18.0), checkmate (>= 2.1.0), ggplot2 (>= 3.4.0), gridExtra, loo (>= 2.5.0), posterior (>= 1.0.0), matrixStats, bridgesampling, rstan (>= 2.26.0), tidyr (>= 1.3.0)
Suggests: bayesplot (>= 1.10.0), covr, knitr, magrittr (>= 2.0.0), purrr (>= 1.0.0), rmarkdown, rstanarm (>= 2.21.0), scales (>= 1.2.0), spelling, testthat (>= 3.0.0), tibble (>= 3.2.0), lme4
VignetteBuilder: knitr
URL: https://github.com/ikrakib/bayesDiagnostics
BugReports: https://github.com/ikrakib/bayesDiagnostics/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-09 17:49:44 UTC; hello
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-14 09:10:19 UTC

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Package mlxR (with last version 4.2.0) was removed from CRAN

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

2021-01-19 4.2.0
2020-06-02 4.1.3
2019-10-11 4.1.0
2019-06-28 4.0.6
2019-04-18 4.0.0
2018-02-20 3.3.0
2017-04-29 3.2.0
2016-09-16 3.1.0
2016-04-01 3.0.0
2015-05-31 2.2.0
2015-02-05 2.1.1
2015-01-12 2.1.0

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Package TrialEmulation updated to version 0.0.4.9 with previous version 0.0.4.8 dated 2025-11-19

Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] , Li Su [aut], Roonak Rezvani [aut] , Julia Moesch [aut], Medical Research Council [fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

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Package tglkmeans updated to version 0.5.8 with previous version 0.5.5 dated 2024-05-15

Title: Efficient Implementation of K-Means++ Algorithm
Description: Efficient implementation of K-Means++ algorithm. For more information see (1) "kmeans++ the advantages of the k-means++ algorithm" by David Arthur and Sergei Vassilvitskii (2007), Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp. 1027-1035, and (2) "The Effectiveness of Lloyd-Type Methods for the k-Means Problem" by Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman and Chaitanya Swamy <doi:10.1145/2395116.2395117>.
Author: Aviezer Lifshitz [aut, cre], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package TestGenerator updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-27

Title: Integration Unit Tests for Pharmacoepidemiological Studies
Description: An R interface to load testing data in the 'OMOP' Common Data Model ('CDM'). An input file, csv or xlsx, can be converted to a 'CDMConnector' object. This object can be used to execute and test studies that use the 'CDM' <https://www.ohdsi.org/data-standardization/>.
Author: Cesar Barboza [aut] , Ioanna Nika [aut], Ger Inberg [aut, cre] , Adam Black [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package SHARK4R updated to version 1.0.3 with previous version 1.0.2 dated 2025-12-12

Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

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 256 files changed, 31546 insertions(+), 31178 deletions(-)

More information about SHARK4R at CRAN
Permanent link

Package retroharmonize updated to version 0.2.7 with previous version 0.2.0 dated 2021-11-02

Title: Ex Post Survey Data Harmonization
Description: Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Author: Daniel Antal [aut, cre] , Marta Kolczynska [ctb]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

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Package openalexR updated to version 3.0.1 with previous version 3.0.0 dated 2026-01-10

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between openalexR versions 3.0.0 dated 2026-01-10 and 3.0.1 dated 2026-01-14

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Package gunsales updated to version 0.1.3 with previous version 0.1.2 dated 2017-01-30

Title: Statistical Analysis of Monthly Background Checks of Gun Purchases
Description: Statistical analysis of monthly background checks of gun purchases for the New York Times story "What Drives Gun Sales: Terrorism, Obama and Calls for Restrictions" at <https://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html> is provided.
Author: Gregor Aisch [aut], Josh Keller [aut], Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package counterfactuals updated to version 1.0.0 with previous version 0.1.6 dated 2024-10-17

Title: Counterfactual Explanations
Description: Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities. The package is described in detail in Dandl et al. (2025) <doi:10.18637/jss.v115.i09>.
Author: Susanne Dandl [aut, cre] , Andreas Hofheinz [aut], Martin Binder [ctb], Giuseppe Casalicchio [ctb]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>

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Package admiraldev updated to version 1.4.0 with previous version 1.3.1 dated 2025-06-25

Title: Utility Functions and Development Tools for the Admiral Package Family
Description: Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut] , Arianna Cascone [aut] , Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Edoardo Mancini [aut] , Gordon Miller [aut], Daniel Sjoberg [aut] , Stefan Thoma [aut] , F. Hoffmann-La Roche AG [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

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Package u5mr (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:

2021-09-09 0.1.1

Permanent link
Package elastic (with last version 1.2.0) was removed from CRAN

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

2021-03-16 1.2.0
2020-01-11 1.1.0
2019-04-11 1.0.0
2018-06-26 0.8.4
2017-09-14 0.8.0
2016-11-09 0.7.8
2016-08-25 0.7.6
2016-08-17 0.7.4
2016-08-03 0.7.2
2016-07-25 0.7.0
2016-01-07 0.6.0
2015-07-02 0.5.0
2015-05-01 0.4.0
2015-01-29 0.3.0

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Package sarp.snowprofile updated to version 1.4.1 with previous version 1.3.2 dated 2023-03-08

Title: Snow Profile Analysis for Snowpack and Avalanche Research
Description: Analysis and plotting tools for snow profile data produced from manual snowpack observations and physical snowpack models. The functions in this package support snowpack and avalanche research by reading various formats of data (including CAAML, SMET, generic csv, and outputs from the snow cover model SNOWPACK), manipulate the data, and produce graphics such as stratigraphy and time series profiles. Package developed by the Simon Fraser University Avalanche Research Program <http://www.avalancheresearch.ca>. Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020, <doi:10.5194/nhess-20-1557-2020>).
Author: Pascal Haegeli [aut, cre], Simon Horton [aut], Florian Herla [aut], SFU Avalanche Research Program [fnd]
Maintainer: Pascal Haegeli <pascal_haegeli@sfu.ca>

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Permanent link

Package salem readmission to version 1.0.1 with previous version 0.2.0 dated 2020-11-05

Title: Provides Access to Salem Witchcraft Data
Description: Data related to the Salem Witch Trials Datasets and tutorials documenting the witch accusations and trials centered around Salem, Massachusetts in 1692. Originally assembled by Richard B. Latner of Tulane University for his website <https://www2.tulane.edu/~salem/index.html>. The data sets include information on 152 accused witches, members of the Salem Village Committee, signatories of petitions related to the events, and tax data for Salem Village.
Author: Elin Waring [aut, cre], Richard Latner [aut]
Maintainer: Elin Waring <elin.waring@gmail.com>

This is a re-admission after prior archival of version 0.2.0 dated 2020-11-05

Diff between salem versions 0.2.0 dated 2020-11-05 and 1.0.1 dated 2026-01-14

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More information about salem at CRAN
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Package rolog readmission to version 0.9.24 with previous version 0.9.23 dated 2025-05-19

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 0.9.23 dated 2025-05-19

Diff between rolog versions 0.9.23 dated 2025-05-19 and 0.9.24 dated 2026-01-14

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Package protti updated to version 1.0.0 with previous version 0.9.1 dated 2024-10-21

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <jpquast.software@gmail.com>

Diff between protti versions 0.9.1 dated 2024-10-21 and 1.0.0 dated 2026-01-14

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More information about protti at CRAN
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Package morse updated to version 3.3.5 with previous version 3.3.4 dated 2024-09-18

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

Diff between morse versions 3.3.4 dated 2024-09-18 and 3.3.5 dated 2026-01-14

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Package hilbertSimilarity readmission to version 0.4.4 with previous version 0.4.3 dated 2019-11-11

Title: Hilbert Similarity Index for High Dimensional Data
Description: Quantifying similarity between high-dimensional single cell samples is challenging, and usually requires some simplifying hypothesis to be made. By transforming the high dimensional space into a high dimensional grid, the number of cells in each sub-space of the grid is characteristic of a given sample. Using a Hilbert curve each sample can be visualized as a simple density plot, and the distance between samples can be calculated from the distribution of cells using the Jensen-Shannon distance. Bins that correspond to significant differences between samples can identified using a simple bootstrap procedure.
Author: Yann Abraham [aut, cre], Marilisa Neri [aut], John Skilling [ctb]
Maintainer: Yann Abraham <yann.abraham@gmail.com>

This is a re-admission after prior archival of version 0.4.3 dated 2019-11-11

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Package GeneralizedUmatrixGPU updated to version 0.1.10 with previous version 0.1.8 dated 2025-11-17

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in Thrun, M.C. and Ultsch, A.: "Uncovering High-dimensional Structures of Projections from Dimension [...truncated...]
Author: Quirin Stier [aut, cre] , Michael Thrun [aut, cph] , The Khronos Group Inc. [cph]
Maintainer: Quirin Stier <Quirin_Stier@gmx.de>

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Package denim updated to version 1.2.3 with previous version 1.2.2 dated 2025-08-21

Title: Generate and Simulate Deterministic Compartmental Models
Description: R package to build and simulate deterministic compartmental models that can be non-Markovian. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
Author: Thinh Ong [aut, cph] , Anh Phan [aut, cre] , Marc Choisy [aut] , Niels Lohman [ctb, cph] , Bjoern Hoehrmann [ctb, cph] , Florian Loitsch [ctb, cph] , Ingo Berg [ctb, cph]
Maintainer: Anh Phan <anhptq@oucru.org>

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Package ddpcr updated to version 1.16.0 with previous version 1.15.2 dated 2025-11-08

Title: Analysis and Visualization of Droplet Digital PCR in R and on the Web
Description: An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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Package s20x updated to version 3.2.2 with previous version 3.2.1 dated 2025-12-17

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Brant Deppa [aut] , James Curran [aut, cre] , Hannah Yun [ctb], Rachel Fewster [ctb], Russell Millar [ctb], Ben Stevenson [ctb], Andrew Balemi [ctb], Chris Wild [ctb], Sophie Jones [ctb], Dineika Chandra [ctr], Brendan McArdle [ctr]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package RMark updated to version 3.0.6 with previous version 3.0.0 dated 2022-08-13

Title: R Code for Mark Analysis
Description: An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.
Author: Jeff Laake [cre, aut], Eldar Rakhimberdiev [ctb], Ben Augustine [ctb], Daniel Turek [ctb], Brett McClintock [ctb], Jim Hines [ctb], analysis from Bret Collier [ctb], Jay Rotella [ctb], David Pavlacky [ctb], Andrew Paul [aut], Luke Eberhart- Phillips [...truncated...]
Maintainer: Jeff Laake <jefflaake@gmail.com>

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Package prabclus updated to version 2.3-5 with previous version 2.3-4 dated 2024-09-24

Title: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
Description: Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetic data for species delimitation, nearest neighbor based noise detection. Genetic distances between communities. Tests whether various distance-based regressions are equal. Try package?prabclus for on overview.
Author: Christian Hennig [aut, cre], Bernhard Hausdorf [aut]
Maintainer: Christian Hennig <christian.hennig@unibo.it>

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Package OPI updated to version 3.0.6 with previous version 3.0.5 dated 2025-10-14

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

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Package fpc updated to version 2.2-14 with previous version 2.2-13 dated 2024-09-24

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modal [...truncated...]
Author: Christian Hennig [aut, cre]
Maintainer: Christian Hennig <christian.hennig@unibo.it>

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Package fastmatrix updated to version 0.6-6 with previous version 0.6-4 dated 2025-10-23

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions designed to speed up the computation of certain matrix operations that are commonly used in statistics and econometrics. It provides efficient implementations for the computation of several structured matrices, matrix decompositions and statistical procedures, many of which have minimal memory overhead. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Author: Felipe Osorio [aut, cre] , Alonso Ogueda [aut]
Maintainer: Felipe Osorio <faosorios.stat@gmail.com>

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Package epiworldR updated to version 0.11.0.1 with previous version 0.11.0.0 dated 2025-12-22

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut, cre] , Derek Meyer [aut] , Andrew Pulsipher [aut] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package DALEXtra updated to version 2.3.1 with previous version 2.3.0 dated 2023-05-25

Title: Extension for 'DALEX' Package
Description: Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <doi:10.48550/arXiv.1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot.
Author: Szymon Maksymiuk [aut, cre] , Przemyslaw Biecek [aut] , Hubert Baniecki [aut], Anna Kozak [ctb]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package charlatan updated to version 0.6.2 with previous version 0.6.1 dated 2024-10-17

Title: Make Fake Data
Description: Make fake data that looks realistic, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.
Author: Roel M. Hogervorst [cre, aut] , Scott Chamberlain [aut] , Kyle Voytovich [aut], Martin Pedersen [ctb], Brooke Anderson [rev] , Tristan Mahr [rev] , rOpenSci [fnd]
Maintainer: Roel M. Hogervorst <hogervorst.rm@gmail.com>

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Package ArgentinAPI updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-13

Title: Access Argentinian Data via APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including the 'ArgentinaDatos API', 'REST Countries API', and 'World Bank API' related to Argentina's exchange rates, inflation, political figures, holidays, economic indicators, and general country-level statistics. Additionally, the package includes curated datasets related to Argentina, covering topics such as economic indicators, biodiversity, agriculture, human rights, genetic data, and consumer prices. The package supports research and analysis focused on Argentina by integrating open APIs with high-quality datasets from various domains. For more details on the APIs, see: 'ArgentinaDatos API' <https://argentinadatos.com/>, 'REST Countries API' <https://restcountries.com/>, and 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package xlr updated to version 1.1.0 with previous version 1.0.3 dated 2025-03-07

Title: Create Table Summaries and Export Neat Tables to 'Excel'
Description: A high-level interface for creating and exporting summary tables to 'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to n-way tables, and summarizing multiple response questions and question blocks. Tables are exported with native 'Excel' formatting, including titles, footnotes, and basic styling options.
Author: Nicholas Hilderson [aut, cre, cph]
Maintainer: Nicholas Hilderson <nhilderson.code@gmail.com>

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