Sat, 13 Dec 2025

Package SHAPforxgboost updated to version 0.2.0 with previous version 0.1.3 dated 2023-05-29

Title: SHAP Plots for 'XGBoost'
Description: Aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. It provides summary plot, dependence plot, interaction plot, and force plot and relies on the SHAP implementation provided by 'XGBoost' and 'LightGBM'.
Author: Yang Liu [aut, cre] , Allan Just [aut, ctb] , Michael Mayer [ctb]
Maintainer: Yang Liu <lyhello@gmail.com>

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Package pakret updated to version 0.3.0 with previous version 0.2.2 dated 2024-10-23

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalist API that generates preformatted citations for 'R' and 'R' packages, and adds their references to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

Diff between pakret versions 0.2.2 dated 2024-10-23 and 0.3.0 dated 2025-12-13

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Package sparvaride updated to version 1.0.0 with previous version 0.1.0 dated 2023-03-13

Title: Variance Identification in Sparse Factor Analysis
Description: This is an implementation of the algorithm described in Section 3 of Hosszejni and Frühwirth-Schnatter (2026) <doi:10.1016/j.jmva.2025.105536>. The algorithm is used to verify that the counting rule CR(r,1) holds for the sparsity pattern of the transpose of a factor loading matrix. As detailed in Section 2 of the same paper, if CR(r,1) holds, then the idiosyncratic variances are generically identified. If CR(r,1) does not hold, then we do not know whether the idiosyncratic variances are identified or not.
Author: Darjus Hosszejni [aut, cre] , Sylvia Fruehwirth-Schnatter [ths]
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package Sim.DiffProc updated to version 5.0 with previous version 4.9 dated 2024-03-05

Title: Simulation of Diffusion Processes
Description: It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDEs <doi:10.18637/jss.v096.i02>. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.
Author: Arsalane Chouaib Guidoum [cre, aut] , Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@univ-tam.dz>

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Package nvctr updated to version 0.1.7 with previous version 0.1.4 dated 2020-10-28

Title: The n-vector Approach to Geographical Position Calculations using an Ellipsoidal Model of Earth
Description: The n-vector framework uses the normal vector to the Earth ellipsoid (called n-vector) as a non-singular position representation that turns out to be very convenient for practical position calculations. The n-vector is simple to use and gives exact answers for all global positions, and all distances, for both ellipsoidal and spherical Earth models. This package is a translation of the 'Matlab' library from FFI, the Norwegian Defence Research Establishment, as described in Gade (2010) <doi:10.1017/S0373463309990415>.
Author: Enrico Spinielli [aut, cre] , EUROCONTROL [cph, fnd]
Maintainer: Enrico Spinielli <enrico.spinielli@eurocontrol.int>

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Package estadistica updated to version 1.2 with previous version 1.0 dated 2025-10-14

Title: Fundamentos de estadística descriptiva e inferencial
Description: Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadística descriptiva e inferencial. Las funciones contenidas en el paquete 'estadistica' cubren los conceptos básicos estudiados en un curso introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web apps para facilitar su comprensión. This package aims to help the teaching-learning process of descriptive and inferential statistics. The functions contained in the package 'estadistica' cover the basic concepts studied in a statistics introductory course. Many concepts are illustrated with dynamic graphs or web apps to make the understanding easier. See: Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019, ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .
Author: Vicente Coll-Serrano [aut, cre], Rosario Martinez Verdu [aut]
Maintainer: Vicente Coll-Serrano <estadistic@uv.es>

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Package brickster updated to version 0.2.11 with previous version 0.2.9 dated 2025-09-04

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

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Package mlr3learners updated to version 0.14.0 with previous version 0.13.0 dated 2025-10-02

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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

Title: Multi-Variate Measurement Error Adjustment
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>

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Package ring updated to version 1.0.8 with previous version 1.0.6 dated 2024-09-06

Title: Circular / Ring Buffers
Description: Circular / ring buffers in R and C. There are a couple of different buffers here with different implementations that represent different trade-offs.
Author: Rich FitzJohn [aut, cre], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package ggfittext updated to version 0.10.3 with previous version 0.10.2 dated 2024-01-31

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package cifmodeling updated to version 0.9.6 with previous version 0.9.4 dated 2025-12-04

Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>

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Package automatedRecLin updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-18

Title: Record Linkage Based on an Entropy-Maximizing Classifier
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
Author: Adam Struzik [aut, cre], Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>

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Package vetiver updated to version 0.2.7 with previous version 0.2.6 dated 2025-10-28

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package tidypredict updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package rde updated to version 0.1.1 with previous version 0.1.0 dated 2018-07-02

Title: Reproducible Data Embedding
Description: Allows caching of raw data directly in R code. This allows R scripts and R Notebooks to be shared and re-run on a machine without access to the original data. Cached data is encoded into an ASCII string that can be pasted into R code. When the code is run, the data is automatically loaded from the cached version if the original data file is unavailable. Works best for small datasets (a few hundred observations).
Author: Stefan Kloppenborg [aut, cre]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package plumber updated to version 1.3.1 with previous version 1.3.0 dated 2025-02-19

Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Author: Barret Schloerke [cre, aut] , Jeff Allen [aut, ccp], Bruno Tremblay [ctb], Frans van Dunne [ctb], Sebastiaan Vandewoude [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

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Package nimble updated to version 1.4.0 with previous version 1.3.0 dated 2024-12-17

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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More information about nimble at CRAN
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Package did updated to version 2.3.0 with previous version 2.1.2 dated 2022-07-20

Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumpti [...truncated...]
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Fri, 12 Dec 2025

Package TFORGE updated to version 0.1.16 with previous version 0.1.15 dated 2025-12-05

Title: Tests for Geophysical Eigenvalues
Description: The eigenvalues of observed symmetric matrices are often of intense scientific interest. This package offers single sample tests for the eigenvalues of the population mean or the eigenvalue-multiplicity of the population mean. For k-samples, this package offers tests for equal eigenvalues between samples. Included is support for matrices with constraints common to geophysical tensors (constant trace, sum of squared eigenvalues, or both) and eigenvectors are usually considered nuisance parameters. Pivotal bootstrap methods enable these tests to have good performance for small samples (n=15 for 3x3 matrices). These methods were developed and studied by Hingee, Scealy and Wood (2026, "Nonparametric bootstrap inference for the eigenvalues of geophysical tensors", accepted by the Journal of American Statistical Association). Also available is a 2-sample test using a Gaussian orthogonal ensemble approximation and an eigenvalue-multiplicity test that assumes orthogonally-invariant covariance.
Author: Kassel Liam Hingee [aut, cre] , Art B. Owen [cph] , Board of Trustees Leland Stanford Junior University [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>

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Package evabic updated to version 0.1.4 with previous version 0.1.1 dated 2022-08-17

Title: Evaluation of Binary Classifiers
Description: Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.
Author: Antoine Bichat [aut, cre]
Maintainer: Antoine Bichat <antoine.bichat@proton.me>

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Package xgb2sql updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-13

Title: Convert Trained 'XGBoost' Model to SQL Query
Description: This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 'XGBoost' <https://github.com/dmlc/xgboost> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Chengjun Hou [aut, cre], Abhishek Bishoyi [aut]
Maintainer: Chengjun Hou <chengjun.hou@gmail.com>

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Package klassR readmission to version 1.0.4 with previous version 1.0.3 dated 2025-10-24

Title: Classifications for Statistics Norway
Description: Functions to search, retrieve, apply and update classification standards and code lists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut, cre], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut], Statistics Norway [cph]
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

This is a re-admission after prior archival of version 1.0.3 dated 2025-10-24

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Package ecodive updated to version 2.2.1 with previous version 2.2.0 dated 2025-12-03

Title: Parallel and Memory-Efficient Ecological Diversity Metrics
Description: Computes alpha and beta diversity metrics using concurrent 'C' threads. Metrics include 'UniFrac', Faith's phylogenetic diversity, Bray-Curtis dissimilarity, Shannon diversity index, and many others. Also parses newick trees into 'phylo' objects and rarefies feature tables.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package pubchem.bio updated to version 1.0.3 with previous version 1.0.1 dated 2025-08-31

Title: Biologically Informed Metabolomic Libraries from 'PubChem'
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>

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Package maptiles updated to version 0.11.0 with previous version 0.10.0 dated 2025-05-07

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb], Miles McBain [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package Bchron updated to version 4.7.8 with previous version 4.7.7 dated 2025-06-13

Title: Age-Depth Radiocarbon Modelling
Description: Enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); age-depth modelling as per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level rate estimation incorporating time uncertainty in polynomial regression models (Parnell and Gehrels 2015) <DOI:10.1002/9781118452547.ch32>; non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the 'Oxcal' function SUM(); currently unpublished), and reverse calibration of dates from calibrated into 14C years (also unpublished).
Author: Andrew Parnell [cre, aut], Nathan McJames [ctb], Bruna Wundervald [ctb], Keefe Murphy [ctb], Mateus Maia [ctb], Amin Shoari Nejad [ctb], Yong Chen Goh [ctb]
Maintainer: Andrew Parnell <Andrew.Parnell1@ucd.ie>

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Package timeSeries updated to version 4052.112 with previous version 4041.111 dated 2024-09-22

Title: Financial Time Series Objects (Rmetrics)
Description: 'S4' classes and various tools for financial time series: Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Georgi N. Boshnakov [cre, aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package SeuratObject updated to version 5.3.0 with previous version 5.2.0 dated 2025-08-27

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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Package oxcAAR updated to version 1.1.2 with previous version 1.1.1 dated 2021-07-05

Title: Interface to 'OxCal' Radiocarbon Calibration
Description: A set of tools that enables using 'OxCal' from within R. 'OxCal' (<https://c14.arch.ox.ac.uk/oxcal.html>) is a standard archaeological tool intended to provide 14C calibration and analysis of archaeological and environmental chronological information. 'OxcAAR' allows simple calibration with 'Oxcal' and plotting of the results as well as the execution of sophisticated ('OxCal') code and the import of the results of bulk analysis and complex Bayesian sequential calibration.
Author: Hinz Martin [aut, cre], Clemens Schmid [aut], Daniel Knitter [aut], Carolin Tietze [aut]
Maintainer: Hinz Martin <martin.hinz@ufg.uni-kiel.de>

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Package nser readmission to version 1.5.7 with previous version 1.5.6 dated 2025-08-25

Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Description: Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>

This is a re-admission after prior archival of version 1.5.6 dated 2025-08-25

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Package geoflow updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-09

Title: Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services
Description: An engine to facilitate the orchestration and execution of metadata-driven data management workflows, in compliance with 'FAIR' (Findable, Accessible, Interoperable and Reusable) data management principles. By means of a pivot metadata model, relying on the 'DublinCore' standard (<https://dublincore.org/>), a unique source of metadata can be used to operate multiple and inter-connected data management actions. Users can also customise their own workflows by creating specific actions but the library comes with a set of native actions targeting common geographic information and data management, in particular actions oriented to the publication on the web of metadata and data resources to provide standard discovery and access services. At first, default actions of the library were meant to focus on providing turn-key actions for geospatial (meta)data: 1) by creating manage geospatial (meta)data complying with 'ISO/TC211' (<https://committee.iso.org/home/tc211>) and 'OGC' (< [...truncated...]
Author: Emmanuel Blondel [aut, cre, cph] , Julien, Barde [aut] , Wilfried Heintz [aut] , Alexandre Bennici [ctb], Sylvain Poulain [ctb], Bastien Grasset [ctb], Mathias Rouan [ctb], Emilie Lerigoleur [ctb], Yvan Le Bras [ctb], Jeroen Ooms [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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 man/geoflow.Rd                                                                            |    2 
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Package alarmdata readmission to version 0.2.4 with previous version 0.2.1 dated 2024-02-28

Title: Download, Merge, and Process Redistricting Data
Description: Utility functions to download and process data produced by the ALARM Project, including 2020 redistricting files Kenny and McCartan (2021) <https://alarm-redist.org/posts/2021-08-10-census-2020/> and the 50-State Redistricting Simulations of McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.7910/DVN/SLCD3E>. The package extends the data introduced in McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.1038/s41597-022-01808-2> to also include states with only a single district. The package also includes the Japanese 2022 redistricting files from the 47-Prefecture Redistricting Simulations of Miyazaki, Yamada, Yatsuhashi, and Imai (2022) <doi:10.7910/DVN/Z9UKSH>.
Author: Cory McCartan [aut] , Christopher T. Kenny [aut, cre] , Tyler Simko [aut] , Michael Zhao [aut] , Sho Miyazaki [aut] , Kosuke Imai [aut]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 0.2.1 dated 2024-02-28

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Package mlt updated to version 1.7-3 with previous version 1.7-2 dated 2025-11-12

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

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Package GridOnClusters updated to version 0.3.2 with previous version 0.1.0.2 dated 2025-05-27

Title: Multivariate Joint Grid Discretization
Description: Discretize multivariate continuous data using a grid to capture the joint distribution that preserves clusters in original data. It can handle both labeled or unlabeled data. Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415> and new methods are included. Joint grid discretization can prepare data for model-free inference of association, function, or causality.
Author: Jiandong Wang [aut], Sajal Kumar [aut] , Joe Song [aut, cre]
Maintainer: Joe Song <joemsong@nmsu.edu>

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Package fungible updated to version 2.4.4.1 with previous version 2.4.4 dated 2024-03-09

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings mat [...truncated...]
Author: Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V. Nguyen [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package FoRDM updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-03

Title: Forest Many-Objective Robust Decision Making ('FoRDM')
Description: Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
Author: Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Maintainer: Marc Djahangard <marc.djahangard@ife.uni-freiburg.de>

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Package symmoments updated to version 1.2.1.1 with previous version 1.2.1 dated 2020-02-05

Title: Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
Description: Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
Author: Kem Phillips [aut, cre]
Maintainer: Kem Phillips <kemphillips@comcast.net>

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Package rtpcr updated to version 2.0.5 with previous version 2.0.4 dated 2025-12-04

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by 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. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor), analysis of variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated measure data to calculate the fold change (FC, Delta Delta Ct method) or relative expression (RE, Delta Ct method). The functions further provide standard errors and confidence intervals for means, a [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package PriceIndices updated to version 0.2.6 with previous version 0.2.5 dated 2025-10-12

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

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Package funcharts updated to version 1.8.0 with previous version 1.7.0 dated 2025-03-17

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Centofanti et al. (2025) <doi:10.1080/00224065.2024.2430978>, Capezza et al. (2025) <doi:10.48550/arXiv.2410.20138>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Davide Forcina [aut], Antonio Lepore [aut], Biagio Palumbo [aut], Alessandra Menafoglio [ctb], Simone Vantini [ctb]
Maintainer: Christian Capezza <christian.capezza@unina.it>

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Package SdeaR updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-16

Title: Stochastic Data Envelopment Analysis
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

Diff between SdeaR versions 1.0.1 dated 2025-10-16 and 1.0.2 dated 2025-12-12

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Package rmumps updated to version 5.2.1-36 with previous version 5.2.1-35 dated 2025-05-16

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.2.1-35 dated 2025-05-16 and 5.2.1-36 dated 2025-12-12

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Package bootcluster updated to version 0.4.3 with previous version 0.4.2 dated 2025-06-17

Title: Bootstrapping Estimates of Clustering Stability
Description: Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.
Author: Han Yu [aut], Mingmei Tian [aut], Tianmou Liu [aut, cre]
Maintainer: Tianmou Liu <tianmouliu@outlook.com>

Diff between bootcluster versions 0.4.2 dated 2025-06-17 and 0.4.3 dated 2025-12-12

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Package weightedGCM updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-29

Title: Weighted Generalised Covariance Measure Conditional Independence Test
Description: A conditional independence test that can be applied both to univariate and multivariate random variables. The test is based on a weighted form of the sample covariance of the residuals after a nonlinear regression on the conditioning variables. Details are described in Scheidegger, Hoerrmann and Buehlmann (2022) "The Weighted Generalised Covariance Measure" <http://jmlr.org/papers/v23/21-1328.html>. The test is a generalisation of the Generalised Covariance Measure (GCM) implemented in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on Shah and Peters (2020) "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure" <doi:10.1214/19-AOS1857>.
Author: Cyrill Scheidegger [aut, cre, cph], Julia Hoerrmann [ths], Peter Buehlmann [ths], Jonas Peters [ctb, cph] , Rajen D. Shah [ctb, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package nn2poly updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-11

Title: Neural Network Weights Transformation into Polynomial Coefficients
Description: Implements a method that builds the coefficients of a polynomial model that performs almost equivalently as a given neural network (densely connected). This is achieved using Taylor expansion at the activation functions. The obtained polynomial coefficients can be used to explain features (and their interactions) importance in the neural network, therefore working as a tool for interpretability or eXplainable Artificial Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>, and 2023 <doi:10.1109/TNNLS.2023.3330328>.
Author: Pablo Morala [aut, cre] , Inaki Ucar [aut] , Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>

Diff between nn2poly versions 0.1.2 dated 2024-11-11 and 0.1.3 dated 2025-12-12

 nn2poly-0.1.2/nn2poly/src/Makevars                                                                   |only
 nn2poly-0.1.3/nn2poly/DESCRIPTION                                                                    |   15 
 nn2poly-0.1.3/nn2poly/LICENSE                                                                        |    4 
 nn2poly-0.1.3/nn2poly/MD5                                                                            |  154 
 nn2poly-0.1.3/nn2poly/NAMESPACE                                                                      |   34 
 nn2poly-0.1.3/nn2poly/NEWS.md                                                                        |    7 
 nn2poly-0.1.3/nn2poly/R/RcppExports.R                                                                |   46 
 nn2poly-0.1.3/nn2poly/R/callback.R                                                                   |   92 
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 nn2poly-0.1.3/nn2poly/R/utils.R                                                                      |   54 
 nn2poly-0.1.3/nn2poly/README.md                                                                      |   83 
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 nn2poly-0.1.3/nn2poly/inst/CITATION                                                                  |   52 
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 nn2poly-0.1.3/nn2poly/inst/python/KerasCallback.py                                                   |   20 
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 nn2poly-0.1.3/nn2poly/man/add_constraints.Rd                                                         |  154 
 nn2poly-0.1.3/nn2poly/man/eval_poly.Rd                                                               |  110 
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Package IVDML updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-11

Title: Double Machine Learning with Instrumental Variables and Heterogeneity
Description: Instrumental variable (IV) estimators for homogeneous and heterogeneous treatment effects with efficient machine learning instruments. The estimators are based on double/debiased machine learning allowing for nonlinear and potentially high-dimensional control variables. Details can be found in Scheidegger, Guo and Bühlmann (2025) "Inference for heterogeneous treatment effects with efficient instruments and machine learning" <doi:10.48550/arXiv.2503.03530>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package tall updated to version 0.5.1 with previous version 0.5.0 dated 2025-12-06

Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>

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Package SHARK4R updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-09

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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Package IsoSpecR updated to version 2.3.3 with previous version 2.1.3 dated 2020-10-30

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry. See: Lacki, Valkenborg, Startek (2020) <DOI:10.1021/acs.analchem.0c00959> and Lacki, Startek, Valkenborg, Gambin (2017) <DOI:10.1021/acs.analchem.6b01459> for the description of the algorithms used.
Author: Mateusz Krzysztof Lacki [cre, aut] , Michal Piotr Startek [aut]
Maintainer: Mateusz Krzysztof Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 2.1.3 dated 2020-10-30 and 2.3.3 dated 2025-12-12

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Package fGarch updated to version 4052.93 with previous version 4033.92 dated 2024-03-26

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Analyze and model heteroskedastic behavior in financial time series.
Author: Diethelm Wuertz [aut] , Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler [aut] , Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package dextergui updated to version 1.0.3 with previous version 1.0.1 dated 2025-10-06

Title: A Graphical User Interface for Dexter
Description: Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.
Author: Jesse Koops [aut, cre], Eva de Schipper [aut], Ivailo Partchev [aut, ctb], Gunter Maris [aut, ctb], Timo Bechger [aut, ctb], Gareth Watts [cph] , Hakim El Hattab [cph]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package airGR updated to version 1.7.8 with previous version 1.7.6 dated 2023-10-26

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] , Olivier Delaigue [aut, cre] , Guillaume Thirel [aut, ths] , David Dorchies [aut] , Charles Perrin [aut, ths] , Claude Michel [aut, ths], Vazken Andreassian [ctb, ths] , Francois Bourgin [ctb] , Pierre Brigode [ctb] , Nicola [...truncated...]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

Diff between airGR versions 1.7.6 dated 2023-10-26 and 1.7.8 dated 2025-12-12

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Package vip readmission to version 0.4.5 with previous version 0.4.3 dated 2025-12-10

Title: Variable Importance Plots
Description: A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Author: Brandon M. Greenwell [aut, cre] , Brad Boehmke [aut]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

This is a re-admission after prior archival of version 0.4.3 dated 2025-12-10

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Package tokenbrowser updated to version 0.1.6 with previous version 0.1.5 dated 2020-10-16

Title: Create Full Text Browsers from Annotated Token Lists
Description: Create browsers for reading full texts from a token list format. Information obtained from text analyses (e.g., topic modeling, word scaling) can be used to annotate the texts.
Author: Kasper Welbers [aut, cre], Wouter van Atteveldt [aut]
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package tectonicr updated to version 0.4.8 with previous version 0.4.7 dated 2025-05-22

Title: Analyzing the Orientation of Maximum Horizontal Stress
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package shinystan updated to version 2.7.0 with previous version 2.6.0 dated 2022-03-02

Title: Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models
Description: A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by the 'Shiny' web application framework from 'RStudio' and works with the output of MCMC programs written in any programming language (and has extended functionality for 'Stan' models fit using the 'rstan' and 'rstanarm' packages).
Author: Jonah Gabry [aut, cre], Duco Veen [aut], Stan Development Team [ctb], Michael Andreae [ctb], Michael Betancourt [ctb], Bob Carpenter [ctb], Yuanjun Gao [ctb], Andrew Gelman [ctb], Ben Goodrich [ctb], Daniel Lee [ctb], Dongying Song [ctb], Rob Tranguc [...truncated...]
Maintainer: Jonah Gabry <jgabry@gmail.com>

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Package parallelly updated to version 1.46.0 with previous version 1.45.1 dated 2025-07-24

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

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Package metricminer readmission to version 1.0.1 with previous version 1.0.0 dated 2025-02-19

Title: Mine Metrics from Common Places on the Web
Description: Mine metrics on common places on the web through the power of their APIs (application programming interfaces). It also helps make the data in a format that is easily used for a dashboard or other purposes. There is an associated dashboard template and tutorials that are underdevelopment that help you fully utilize 'metricminer'.
Author: Candace Savonen [aut, cre], Kate Isaac [aut], Howard Baek [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-02-19

Diff between metricminer versions 1.0.0 dated 2025-02-19 and 1.0.1 dated 2025-12-12

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More information about metricminer at CRAN
Permanent link

Package meteoland updated to version 2.2.5 with previous version 2.2.3 dated 2025-01-28

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Caceres [aut, cre] , Victor Granda [aut] , Nicolas Martin [aut] , Antoine Cabon [aut]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between meteoland versions 2.2.3 dated 2025-01-28 and 2.2.5 dated 2025-12-12

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Permanent link

Package Luminescence updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-11

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.1.1 dated 2025-09-11 and 1.1.2 dated 2025-12-12

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 Luminescence-1.1.2/Luminescence/man/as.Rd                                             |    6 
 Luminescence-1.1.2/Luminescence/man/bin_RLum.Data.Rd                                  |    2 
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 Luminescence-1.1.2/Luminescence/man/convert_Activity2Concentration.Rd                 |    2 
 Luminescence-1.1.2/Luminescence/man/convert_BIN2CSV.Rd                                |    2 
 Luminescence-1.1.2/Luminescence/man/convert_CW2pHMi.Rd                                |    5 
 Luminescence-1.1.2/Luminescence/man/convert_CW2pLM.Rd                                 |    9 
 Luminescence-1.1.2/Luminescence/man/convert_CW2pLMi.Rd                                |    5 
 Luminescence-1.1.2/Luminescence/man/convert_CW2pPMi.Rd                                |    5 
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 Luminescence-1.1.2/Luminescence/man/convert_Daybreak2CSV.Rd                           |    2 
 Luminescence-1.1.2/Luminescence/man/convert_PSL2CSV.Rd                                |    2 
 Luminescence-1.1.2/Luminescence/man/convert_PSL2Risoe.BINfileData.Rd                  |    2 
 Luminescence-1.1.2/Luminescence/man/convert_RLum2Risoe.BINfileData.Rd                 |    2 
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 Luminescence-1.1.2/Luminescence/man/names_RLum.Rd                                     |    2 
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 Luminescence-1.1.2/Luminescence/man/plot_DRCSummary.Rd                                |    2 
 Luminescence-1.1.2/Luminescence/man/plot_DRTResults.Rd                                |    8 
 Luminescence-1.1.2/Luminescence/man/plot_DetPlot.Rd                                   |    2 
 Luminescence-1.1.2/Luminescence/man/plot_DoseResponseCurve.Rd                         |    4 
 Luminescence-1.1.2/Luminescence/man/plot_FilterCombinations.Rd                        |    6 
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 Luminescence-1.1.2/Luminescence/man/set_Risoe.BINfileData.Rd                          |    2 
 Luminescence-1.1.2/Luminescence/man/smooth_RLum.Rd                                    |    2 
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 Luminescence-1.1.2/Luminescence/man/structure_RLum.Rd                                 |    2 
 Luminescence-1.1.2/Luminescence/man/subset_SingleGrainData.Rd                         |    2 
 Luminescence-1.1.2/Luminescence/man/template_DRAC.Rd                                  |    2 
 Luminescence-1.1.2/Luminescence/man/trim_RLum.Data.Rd                                 |    2 
 Luminescence-1.1.2/Luminescence/man/tune_Data.Rd                                      |    2 
 Luminescence-1.1.2/Luminescence/man/use_DRAC.Rd                                       |   15 
 Luminescence-1.1.2/Luminescence/man/verify_SingleGrainData.Rd                         |    4 
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 Luminescence-1.1.2/Luminescence/man/write_R2BIN.Rd                                    |    2 
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 Luminescence-1.1.2/Luminescence/src/Makevars.win                                      |    2 
 Luminescence-1.1.2/Luminescence/src/src_ThermoChronometry.cpp                         |    7 
 Luminescence-1.1.2/Luminescence/src/src_analyse_IRSARRF_SRS.cpp                       |   44 
 Luminescence-1.1.2/Luminescence/src/src_create_RLumDataCurve_matrix.cpp               |   35 
 Luminescence-1.1.2/Luminescence/src/src_get_XSYG_curve_values.cpp                     |   20 
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 Luminescence-1.1.2/Luminescence/tests/testthat/_data/xsyg-tests/XSYG_noSequence.xsyg  |only
 Luminescence-1.1.2/Luminescence/tests/testthat/setup.R                                |   25 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_RLum.Analysis-class.R             |    2 
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 Luminescence-1.1.2/Luminescence/tests/testthat/test_RLum.Data.Image.R                 |    6 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_RLum.Data.Spectrum.R              |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_Risoe.BINfileData2RLum.Analysis.R |   11 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_Al2O3C_CrossTalk.R        |   17 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_Al2O3C_ITC.R              |   14 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_Al2O3C_Measurement.R      |   35 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_FadingMeasurement.R       |  174 +
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_IRSAR.RF.R                |   77 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_SAR.CWOSL.R               |   25 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_SAR.TL.R                  |   37 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_ThermochronometryData.R   |   10 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_baSAR.R                   |   42 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_pIRIRSequence.R           |    6 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_analyse_portableOSL.R             |   57 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_apply_CosmicRayRemoval.R          |  102 -
 Luminescence-1.1.2/Luminescence/tests/testthat/test_apply_Crosstalk.R                 |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_AliquotSize.R                |   27 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_AverageDose.R                |    6 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_CentralDose.R                |   48 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_CosmicDoseRate.R             |   31 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_EED_Model.R                  |   60 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_FadingCorr.R                 |   23 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_FastRatio.R                  |   31 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_FiniteMixture.R              |   55 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_FuchsLang2001.R              |   51 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_HomogeneityTest.R            |   31 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_Huntley2006.R                |   28 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_Lamothe2003.R                |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_MinDose.R                    |   26 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_MoransI.R                    |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_OSLLxTxDecomposed.R          |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_OSLLxTxRatio.R               |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_SourceDoseRate.R             |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_Statistics.R                 |    7 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_TLLxTxRatio.R                |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_ThermalLifetime.R            |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_WodaFuchs2008.R              |   22 
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 Luminescence-1.1.2/Luminescence/tests/testthat/test_calc_gSGC_feldspar.R              |   10 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_combine_De_Dr.R                   |   63 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_CW2pX.R                   |   11 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_PSL2RisoeBINfiledata.R    |    3 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_SG2MG.R                   |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_Second2Gray.R             |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_Wavelength2Energy.R       |   27 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_convert_XSYG2CSV.R                |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_correct_PMTLinearity.R            |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_extract_IrradiationTimes.R        |   40 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_extract_ROI.R                     |   72 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_CWCurve.R                     |   88 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_DoseResponseCurve.R           |   23 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_EmissionSpectra.R             |  102 -
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_IsothermalHolding.R           |   20 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_LMCurve.R                     |    3 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_OSLLifeTimes.R                |   55 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_fit_SurfaceExposure.R             |   51 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_get_Layout.R                      |    3 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_get_RLum.R                        |   12 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_github.R                          |   91 
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 Luminescence-1.1.2/Luminescence/tests/testthat/test_merge_RLum.Data.Curve.R           |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_merge_RLum.Data.Spectrum.R        |    5 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_metadata.R                        |   12 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_methods_S3.R                      |   59 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_AbanicoPlot.R                |   48 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_DRCSummary.R                 |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_DRTResults.R                 |   12 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_DetPlot.R                    |    3 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_DoseResponseCurve.R          |   15 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_FilterCombinations.R         |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_Histogram.R                  |   24 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_KDE.R                        |   22 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_MoranScatterplot.R           |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_NRt.R                        |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_OSLAgeSummary.R              |   35 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.Analysis.R              |   53 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.Data.Curve.R            |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.Data.Image.R            |   54 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.Data.Spectrum.R         |  278 --
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.R                       |   29 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RLum.Results.R               |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_ROI.R                        |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_RadialPlot.R                 |   72 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_Risoe.BINfileData.R          |    3 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_SingleGrainDisc.R            |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_plot_ViolinPlot.R                 |    6 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_read_HeliosOSL2R.R                |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_read_PSL2R.R                      |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_read_SPE2R.R                      |   18 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_read_TIFF2R.R                     |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_read_XSYG2R.R                     |   11 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_remove_SignalBackground.R         |    2 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_scale_GammaDose.R                 |    1 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_set_RLum.R                        |only
 Luminescence-1.1.2/Luminescence/tests/testthat/test_structure_RLum.R                  |   17 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_template_DRAC.R                   |    5 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_use_DRAC.R                        |   21 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_verify_SingleGrainData.R          |   26 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_write_R2BIN.R                     |    4 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_write_R2TIFF.R                    |    6 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_write_RLum2CSV.R                  |   11 
 Luminescence-1.1.2/Luminescence/tests/testthat/test_zzz.R                             |    8 
 Luminescence-1.1.2/Luminescence/vignettes/crosstalk.Rmd                               |    1 
 417 files changed, 7152 insertions(+), 7856 deletions(-)

More information about Luminescence at CRAN
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Package fmesher updated to version 0.6.1 with previous version 0.5.0 dated 2025-07-07

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1-, 2-, and 3-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between fmesher versions 0.5.0 dated 2025-07-07 and 0.6.1 dated 2025-12-12

 fmesher-0.5.0/fmesher/man/fm_CRSargs.Rd                    |only
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 fmesher-0.6.1/fmesher/R/bbox.R                             |    2 
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Package contentanalysis updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-30

Title: Scientific Content and Citation Analysis from PDF Documents
Description: Provides comprehensive tools for extracting and analyzing scientific content from PDF documents, including citation extraction, reference matching, text analysis, and bibliometric indicators. Supports multi-column PDF layouts, 'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package bayesplot updated to version 1.15.0 with previous version 1.14.0 dated 2025-08-31

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut] , Paul-Christian Buerkner [ctb], Martin Modrak [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Teemu Sailynoja [ctb], Aki Vehtari [ctb], Behram Ulukir [ctb], Visruth Srimath Kan [...truncated...]
Maintainer: Jonah Gabry <jgabry@gmail.com>

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Package arcpullr updated to version 0.3.2 with previous version 0.3.0 dated 2025-02-06

Title: Pull Data from an 'ArcGIS REST' API
Description: Functions to efficiently query 'ArcGIS REST' APIs <https://developers.arcgis.com/rest/>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

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Package valdr updated to version 2.1.0 with previous version 2.0.0 dated 2025-08-31

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

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Thu, 11 Dec 2025

Package csmpv updated to version 1.0.5 with previous version 1.0.3 dated 2024-03-01

Title: Biomarker Confirmation, Selection, Modelling, Prediction, and Validation
Description: There are diverse purposes such as biomarker confirmation, novel biomarker discovery, constructing predictive models, model-based prediction, and validation. It handles binary, continuous, and time-to-event outcomes at the sample or patient level. - Biomarker confirmation utilizes established functions like glm() from 'stats', coxph() from 'survival', surv_fit(), and ggsurvplot() from 'survminer'. - Biomarker discovery and variable selection are facilitated by three LASSO-related functions LASSO2(), LASSO_plus(), and LASSO2plus(), leveraging the 'glmnet' R package with additional steps. - Eight versatile modeling functions are offered, each designed for predictive models across various outcomes and data types. 1) LASSO2(), LASSO_plus(), LASSO2plus(), and LASSO2_reg() perform variable selection using LASSO methods and construct predictive models based on selected variables. 2) XGBtraining() employs 'XGBoost' for model building and is the only function not involving variable selection. 3 [...truncated...]
Author: Aixiang Jiang [aut, cre, cph]
Maintainer: Aixiang Jiang <aijiang@bccrc.ca>

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Package xtdml updated to version 0.1.11 with previous version 0.1.10 dated 2025-12-10

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package tepr updated to version 1.1.13 with previous version 1.1.12 dated 2025-11-04

Title: Transcription Elongation Profiling
Description: The general principle relies on calculating the cumulative signal of nascent RNA sequencing over the gene body of any given gene or transcription unit. 'tepr' can identify transcription attenuation sites by comparing profile to a null model which assumes uniform read density over the entirety of the transcription unit. It can also identify increased or diminished transcription attenuation by comparing two conditions. Besides rigorous statistical testing and high sensitivity, a major feature of 'tepr' is its ability to provide the elongation pattern of each individual gene, including the position of the main attenuation point when such a phenomenon occurs. Using 'tepr', users can visualize and refine genome-wide aggregated analyses of elongation patterns to robustly identify effects specific to subsets of genes. These metrics are suitable for internal comparisons (between genes in each condition) and for studying elongation of the same gene in different conditions or comparing it to a p [...truncated...]
Author: Nicolas Descostes [cre], Victor Billon [aut], Gael Cristofari [aut]
Maintainer: Nicolas Descostes <nicolas.descostes@gmail.com>

Diff between tepr versions 1.1.12 dated 2025-11-04 and 1.1.13 dated 2025-12-11

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Package geomander readmission to version 2.5.2 with previous version 2.5.0 dated 2025-09-01

Title: Geographic Tools for Studying Gerrymandering
Description: A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 2.5.0 dated 2025-09-01

Diff between geomander versions 2.5.0 dated 2025-09-01 and 2.5.2 dated 2025-12-11

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Package geeLite updated to version 1.0.6 with previous version 1.0.5 dated 2025-12-09

Title: Building and Managing Local Databases from 'Google Earth Engine'
Description: Simplifies the creation, management, and updating of local databases using data extracted from 'Google Earth Engine' ('GEE'). It integrates with 'GEE' to store, aggregate, and process spatio-temporal data, leveraging 'SQLite' for efficient, serverless storage. The 'geeLite' package provides utilities for data transformation and supports real-time monitoring and analysis of geospatial features, making it suitable for researchers and practitioners in geospatial science. For details, see Kurbucz and Andrée (2025) "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package" <https://hdl.handle.net/10986/43165>.
Author: Marcell T. Kurbucz [aut, cre], Bo Pieter Johannes Andree [aut]
Maintainer: Marcell T. Kurbucz <m.kurbucz@ucl.ac.uk>

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Package ddml updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-02

Title: Double/Debiased Machine Learning
Description: Estimate common causal parameters using double/debiased machine learning as proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>. 'ddml' simplifies estimation based on (short-)stacking as discussed in Ahrens et al. (2024) <doi:10.1002/jae.3103>, which leverages multiple base learners to increase robustness to the underlying data generating process.
Author: Achim Ahrens [aut], Christian B Hansen [aut], Mark E Schaffer [aut], Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <thomas.wiemann@chicagobooth.edu>

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Package baker readmission to version 1.0.4 with previous version 1.0.3 dated 2024-01-30

Title: "Nested Partially Latent Class Models"
Description: Provides functions to specify, fit and visualize nested partially-latent class models ( Wu, Deloria-Knoll, Hammitt, and Zeger (2016) <doi:10.1111/rssc.12101>; Wu, Deloria-Knoll, and Zeger (2017) <doi:10.1093/biostatistics/kxw037>; Wu and Chen (2021) <doi:10.1002/sim.8804>) for inference of population disease etiology and individual diagnosis. In the motivating Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities of interest sum to one hundred percent, the PERCH scientists frequently refer to them as population etiology pie and individual etiology pie, hence the name of the package.
Author: Zhenke Wu [cre, aut, cph] , Scott Zeger [aut] , John Muschelli [ctb] , Irena Chen [ctb]
Maintainer: Zhenke Wu <zhenkewu@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2024-01-30

Diff between baker versions 1.0.3 dated 2024-01-30 and 1.0.4 dated 2025-12-11

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Package serocalculator updated to version 1.4.0 with previous version 1.3.0 dated 2025-01-25

Title: Estimating Infection Rates from Serological Data
Description: Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.
Author: Kristina Lai [aut, cre], Chris Orwa [aut], Kwan Ho Lee [ctb], Peter Teunis [aut, cph] , Kristen Aiemjoy [aut], Douglas Ezra Morrison [aut]
Maintainer: Kristina Lai <kwlai@ucdavis.edu>

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Package resilience updated to version 2025.1.0 with previous version 2024.1.2 dated 2024-08-22

Title: Predictors of Resilience to a Stressor in a Single-Arm Study
Description: Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.
Author: Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package stochtree updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-22

Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [cph] , Microsoft C [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>

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Package tgml updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-24

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 GMAC updated to version 3.2 with previous version 3.1 dated 2022-03-17

Title: Genomic Mediation Analysis with Adaptive Confounding Adjustment
Description: Performs genomic mediation analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/gr.216754.116>. It implements large scale mediation analysis and adaptively selects potential confounding variables to adjust for each mediation test from a pool of candidate confounders. The package is tailored for but not limited to genomic mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern where an eQTL, its cis-linking gene transcript, and its trans-gene transcript play the roles as treatment, mediator and the outcome, respectively), restricting to scenarios with the presence of cis-association (i.e., treatment-mediator association) and random eQTL (i.e., treatment).
Author: Fan Yang [aut], Jiebiao Wang [aut, cre], Lin Chen [aut]
Maintainer: Jiebiao Wang <randel.wang@gmail.com>

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Package geoprofiler updated to version 0.0.3 with previous version 0.0.2 dated 2025-04-10

Title: Perpendicular Line Transects for Geosciences
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package bWGR updated to version 2.2.17 with previous version 2.2.15 dated 2025-11-05

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 2.2.15 dated 2025-11-05 and 2.2.17 dated 2025-12-11

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Package WARDEN updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-13

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

Diff between WARDEN versions 2.0.0 dated 2025-10-13 and 2.0.1 dated 2025-12-11

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Package SEMdeep updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-10

Title: Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms
Description: Training and validation of a custom (or data-driven) Structural Equation Models using Deep Neural Networks or Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
Author: Mario Grassi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMdeep versions 1.1.0 dated 2025-11-10 and 1.1.1 dated 2025-12-11

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Package cellGeometry updated to version 0.5.7 with previous version 0.5.4 dated 2025-09-15

Title: Geometric Single Cell Deconvolution
Description: Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.
Author: Myles Lewis [aut, cre] , Rachel Lau [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between cellGeometry versions 0.5.4 dated 2025-09-15 and 0.5.7 dated 2025-12-11

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Package GaussSuppression updated to version 1.2.3 with previous version 1.2.0 dated 2025-09-25

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Jonas Lindblad [ctb], Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package feltr updated to version 0.1.0 with previous version 0.0.4 dated 2023-11-05

Title: Access the Felt API
Description: Upload, download, and edit internet maps with the Felt API (<https://developers.felt.com/rest-api/getting-started>). Allows users to create new maps, edit existing maps, and extract data. Provides tools for working with layers, which represent geographic data, and elements, which are interactive annotations. Spatial data accessed from the API is transformed to work with 'sf'.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between feltr versions 0.0.4 dated 2023-11-05 and 0.1.0 dated 2025-12-11

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Package ergm.sign updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-21

Title: Exponential-Family Models for Signed Networks
Description: Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.
Author: Marc Schalberger [cre], Cornelius Fritz [aut], Pavel Krivitsky [ctb]
Maintainer: Marc Schalberger <m.schalberger@fu-berlin.de>

Diff between ergm.sign versions 0.1.0 dated 2025-11-21 and 0.1.1 dated 2025-12-11

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Package diemr updated to version 1.5.2 with previous version 1.5.1 dated 2025-10-09

Title: Genome Polarization via Diagnostic Index Expectation Maximization
Description: Implements a likelihood-based method for genome polarization, identifying which alleles of SNV markers belong to either side of a barrier to gene flow. The approach co-estimates individual assignment, barrier strength, and divergence between sides, with direct application to studies of hybridization. Includes VCF-to-diem conversion and input checks, support for mixed ploidy and parallelization, and tools for visualization and diagnostic outputs. Based on diagnostic index expectation maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package codalm updated to version 0.1.3 with previous version 0.1.2 dated 2021-07-26

Title: Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Description: Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2022) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
Author: Jacob Fiksel [aut] , Abhirup Datta [ctb], Sandipan Pramanik [cre, ctb]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>

Diff between codalm versions 0.1.2 dated 2021-07-26 and 0.1.3 dated 2025-12-11

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Package bibliometrix updated to version 5.2.1 with previous version 5.2.0 dated 2025-11-08

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package BayesNSGP updated to version 0.2.0 with previous version 0.1.2 dated 2022-01-08

Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <doi:10.48550/arXiv.1702.00434>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the "nimble" package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
Author: Daniel Turek [aut, cre], Mark Risser [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

Diff between BayesNSGP versions 0.1.2 dated 2022-01-08 and 0.2.0 dated 2025-12-11

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Package bartCause updated to version 1.0-10 with previous version 1.0-9 dated 2024-09-16

Title: Causal Inference using Bayesian Additive Regression Trees
Description: Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).
Author: Vincent Dorie [aut, cre] , Jennifer Hill [aut]
Maintainer: Vincent Dorie <vdorie@gmail.com>

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Package proxy updated to version 0.4-28 with previous version 0.4-27 dated 2022-06-09

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre] , Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package lime updated to version 0.5.4 with previous version 0.5.3 dated 2022-08-19

Title: Local Interpretable Model-Agnostic Explanations
Description: When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>.
Author: Emil Hvitfeldt [aut, cre] , Thomas Lin Pedersen [aut] , Michael Benesty [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package lessR updated to version 4.5 with previous version 4.4.5 dated 2025-08-22

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 aorsf updated to version 0.1.6 with previous version 0.1.5 dated 2024-05-29

Title: Accelerated Oblique Random Forests
Description: Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
Author: Byron Jaeger [aut, cre] , Nicholas Pajewski [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <byron.jaeger@gmail.com>

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Package CoxBoost readmission to version 1.5.1 with previous version 1.4 dated 2013-05-10

Title: Cox Models by Likelihood Based Boosting for a Single Survival Endpoint or Competing Risks
Description: Provides routines for fitting Cox models by likelihood based boosting for single event survival data with right censoring or in the presence of competing risks. The methodology is described in Binder and Schumacher (2008) <doi:10.1186/1471-2105-9-14> and Binder et al. (2009) <doi:10.1093/bioinformatics/btp088>.
Author: John Zobolas [cre, aut] , Harald Binder [aut]
Maintainer: John Zobolas <bblodfon@gmail.com>

This is a re-admission after prior archival of version 1.4 dated 2013-05-10

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Package mesonet updated to version 0.0.2 with previous version 0.0.1 dated 2025-07-28

Title: Download and Process Oklahoma Mesonet Data
Description: A collection of functions to download and process weather data from the Oklahoma Mesonet <https://mesonet.org>. Functions are available for downloading station metadata, downloading Mesonet time series (MTS) files, importing MTS files into R, and converting soil temperature change measurements into soil matric potential and volumetric soil moisture.
Author: Phillip D. Alderman [aut, cre]
Maintainer: Phillip D. Alderman <phillip.alderman@okstate.edu>

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Package scCustomize updated to version 3.2.4 with previous version 3.2.3 dated 2025-12-09

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

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Package sars updated to version 2.1.0 with previous version 2.0.0 dated 2025-03-03

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] , Francois Guilhaumon [aut] , Kevin Cazelles [rev]
Maintainer: Thomas J. Matthews <txm676@gmail.com>

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Package plotthis updated to version 0.9.0 with previous version 0.8.2 dated 2025-11-10

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package hydroEvents updated to version 0.13.0 with previous version 0.12.0 dated 2025-02-12

Title: Extract Event Statistics in Hydrologic Time Series
Description: Events from individual hydrologic time series are extracted, and events are matched across multiple time series. The package has been applied in studies such as Wasko and Guo (2022) <doi:10.1002/hyp.14563> and Mohammadpour Khoie, Guo and Wasko (2025) <doi:10.1016/j.envsoft.2025.106521>.
Author: Conrad Wasko [aut, cre], Danlu Guo [aut], Mohammad Masoud Mohammadpour Khoie [ctb]
Maintainer: Conrad Wasko <conrad.wasko@gmail.com>

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Package countprop updated to version 1.1.1 with previous version 1.0.1 dated 2023-08-18

Title: Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data
Description: Calculates metrics of proportionality using the logit-normal multinomial model. It can also provide empirical and plugin estimates of these metrics.
Author: Kevin McGregor [aut, cre, cph], Nneka Okaeme [aut]
Maintainer: Kevin McGregor <kevin.mcgregor@umanitoba.ca>

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Package srppp updated to version 2.0.0 with previous version 1.1.0 dated 2025-07-17

Title: Read the Swiss Register of Plant Protection Products
Description: Generate data objects from XML versions of the Swiss Register of Plant Protection Products. An online version of the register can be accessed at <https://www.psm.admin.ch/de/produkte>. There is no guarantee of correspondence of the data read in using this package with that online version, or with the original registration documents. Also, the Federal Food Safety and Veterinary Office, coordinating the authorisation of plant protection products in Switzerland, does not answer requests regarding this package.
Author: Daniel Baumgartner [ctb] , Marcel Mathis [rev, ctb], Romualdus Kasteel [rev] , Elisabeth Lutz [ctb], Johannes Ranke [aut, cre] , Agroscope [cph]
Maintainer: Johannes Ranke <johannes.ranke@agroscope.admin.ch>

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Package OrgHeatmap updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-26

Title: Visualization Tool for Numerical Data on Human/Mouse Organs and Organelles
Description: A tool for visualizing numerical data (e.g., gene expression, protein abundance) on predefined anatomical maps of human/mouse organs and subcellular organelles. It supports customization of color schemes, filtering by organ systems (for organisms) or organelle types, and generation of optional bar charts for quantitative comparison. The package integrates coordinate data for organs and organelles to plot anatomical/subcellular contours, mapping data values to specific structures for intuitive visualization of biological data distribution.The underlying method was described in the preprint by Zhou et al. (2022) <doi:10.1101/2022.09.07.506938>.
Author: Qirui Shen [aut, cre]
Maintainer: Qirui Shen <shenqr@i.smu.edu.cn>

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Package DIVINE updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-11

Title: Curated Datasets and Tools for Epidemiological Data Analysis
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Maintainer: Natalia Pallares <npallares@igtp.cat>

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Package vcdExtra updated to version 0.8.7 with previous version 0.8-6 dated 2025-07-24

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , Heather Turner [ctb], David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], David Firth [ctb], Matt Kumar [ctb], Shuguang Sun [ctb], Daniel Sabanes Bove [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package reqres updated to version 1.2.0 with previous version 1.1.0 dated 2025-11-06

Title: Powerful Classes for HTTP Requests and Responses
Description: In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the 'rook' specification and is thus well suited to be combined with 'httpuv' based web servers.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package kendallknight updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-31

Title: Efficient Implementation of Kendall's Correlation Coefficient Computation
Description: The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0326090>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Loader Catherine [ctb] ), Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package firesale updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-27

Title: Datastore for 'fiery' Web Servers
Description: Provides a persistent datastore for 'fiery' apps. The datastore is build on top of the 'storr' package and can thus be based on a variety of backends. The datastore contains both a global and session-scoped section.
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package explore updated to version 1.4.0 with previous version 1.3.6 dated 2025-10-02

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package cpp11bigwig updated to version 0.1.3 with previous version 0.1.2 dated 2025-08-18

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package chillR updated to version 0.77 with previous version 0.76 dated 2024-11-14

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Lued [...truncated...]
Author: Eike Luedeling [aut, cre] , Lars Caspersen [aut] , Eduardo Fernandez [aut]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Wed, 10 Dec 2025

Package BioMoR updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-03

Title: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble
Description: Tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows. The methodology builds on ensemble learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov 2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).
Author: MD. Arshad [aut, cre]
Maintainer: MD. Arshad <arshad10867c@gmail.com>

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Package anomo updated to version 1.2.2 with previous version 1.0.0 dated 2025-02-23

Title: Analysis of Moderation, Statistical Power, and Optimal Design for Studies Detecting Difference and Equivalence
Description: Analysis of moderation (ANOMO) method conceptualizes the difference and equivalence tests as a moderation problem to test the difference and equivalence of two estimates (e.g., two means or two effects).
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>

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Package wdnr.gis updated to version 0.1.7 with previous version 0.1.6 dated 2025-10-13

Title: Pull Spatial Layers from 'WDNR ArcGIS REST API'
Description: Functions for finding and pulling data from the 'Wisconsin Department of Natural Resources ArcGIS REST APIs' <https://dnrmaps.wi.gov/arcgis/rest/services> and <https://dnrmaps.wi.gov/arcgis2/rest/services>.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

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Package mcga updated to version 3.0.9 with previous version 3.0.7 dated 2023-11-27

Title: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Description: Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.
Author: Mehmet Hakan Satman [aut, cre]
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between mcga versions 3.0.7 dated 2023-11-27 and 3.0.9 dated 2025-12-10

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Package fcall updated to version 0.1.6 with previous version 0.1.5 dated 2025-11-19

Title: Parse Farm Credit Administration Call Report Data into Tidy Data Frames
Description: Parses financial condition and performance data (Call Reports) for institutions in the United States Farm Credit System. Contains functions for downloading files from the Farm Credit Administration (FCA) Call Report archive website and reading the files into tidy data frame format. The archive website can be found at <https://www.fca.gov/bank-oversight/call-report-data-for-download>.
Author: Michael Thomas [aut, cre], Ivan Millanes [aut], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>

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Package networkscaleup updated to version 0.2-1 with previous version 0.1-2 dated 2024-02-25

Title: Network Scale-Up Models for Aggregated Relational Data
Description: Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, through the use of Stan and 'glmmTMB'. Also provides tools for model checking In this version, the package implements models from Laga, I., Bao, L., and Niu, X (2023) <doi:10.1080/01621459.2023.2165929>, Zheng, T., Salganik, M. J., and Gelman, A. (2006) <doi:10.1198/016214505000001168>, Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998) <doi:10.1016/S0378-8733(96)00305-X>, and Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998) <doi:10.1177/0193841X9802200205>.
Author: Ian Laga [aut, cre] , Owen G. Ward [aut], Anna L. Smith [aut], Benjamin Vogel [aut], Jieyun Wang [aut], Le Bao [aut], Xiaoyue Niu [aut]
Maintainer: Ian Laga <ilaga25@gmail.com>

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Package arima2 updated to version 3.4.3 with previous version 3.4.2 dated 2025-10-31

Title: Likelihood Based Inference for ARIMA Modeling
Description: Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) <doi:10.1371/journal.pone.0333993>.
Author: Jesse Wheeler [aut, cre, cph], Noel McAllister [aut], Dhajanae Sylvertooth [aut], Edward Ionides [ctb], Brian Ripley [ctb] , R Core Team [cph]
Maintainer: Jesse Wheeler <jessewheeler@isu.edu>

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Package validate updated to version 1.1.7 with previous version 1.1.6 dated 2025-11-14

Title: Data Validation Infrastructure
Description: Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Author: Mark van der Loo [cre, aut] , Edwin de Jonge [aut] , Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package omopgenerics updated to version 1.3.5 with previous version 1.3.4 dated 2025-12-01

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package xtdml updated to version 0.1.10 with previous version 0.1.9 dated 2025-11-12

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package mmpca updated to version 2.0.4 with previous version 2.0.3 dated 2022-11-15

Title: Integrative Analysis of Several Related Data Matrices
Description: A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <doi:10.48550/arXiv.1911.04927>.
Author: Jonatan Kallus [aut], Felix Held [ctb, cre]
Maintainer: Felix Held <felix.held@gmail.com>

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Package mlts updated to version 2.0.1 with previous version 2.0.0 dated 2025-12-08

Title: Multilevel Latent Time Series Models with 'R' and 'Stan'
Description: Fit multilevel manifest or latent time-series models, including popular Dynamic Structural Equation Models (DSEM). The models can be set up and modified with user-friendly functions and are fit to the data using 'Stan' for Bayesian inference. Path models and formulas for user-defined models can be easily created with functions using 'knitr'. Asparouhov, Hamaker, & Muthen (2018) <doi:10.1080/10705511.2017.1406803>.
Author: Kenneth Koslowski [aut, cre, cph] , Fabian Muench [aut] , Tobias Koch [aut] , Jana Holtmann [aut]
Maintainer: Kenneth Koslowski <kenneth.koslowski@uni-leipzig.de>

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Package GDPuc updated to version 1.6.1 with previous version 1.6.0 dated 2025-11-19

Title: Easily Convert GDP Data
Description: Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.
Author: Johannes Koch [aut, cre]
Maintainer: Johannes Koch <jokoch@pik-potsdam.de>

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Package rvec updated to version 1.0.0 with previous version 0.0.8 dated 2025-07-12

Title: Vectors Representing Random Variables
Description: Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package pharmaverseadamjnj updated to version 0.0.2 with previous version 0.0.1 dated 2025-07-15

Title: J&J Innovative Medicine ADaM Test Data
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package getRad updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-14

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between getRad versions 0.2.3 dated 2025-10-14 and 0.2.4 dated 2025-12-10

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Package DImodelsMulti updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-21

Title: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description: An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Author: Laura Byrne [aut, cre] , Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]
Maintainer: Laura Byrne <Laura.Byrne.Work@outlook.com>

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Package cocons updated to version 0.1.5 with previous version 0.1.4 dated 2024-12-12

Title: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
Description: Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.
Author: Federico Blasi [aut, cre] , Reinhard Furrer [ctb]
Maintainer: Federico Blasi <federicoblasi@gmail.com>

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Package tm updated to version 0.7-17 with previous version 0.7-16 dated 2025-02-19

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package git2rdata updated to version 0.5.1 with previous version 0.5.0 dated 2025-01-24

Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion [...truncated...]
Author: Thierry Onkelinx [aut, cre] ), Floris Vanderhaeghe [ctb] ), Peter Desmet [ctb] ), Els Lommelen [ctb] ), Research Institute for Nature and Forest [cph, fnd]
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>

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Package twbparser updated to version 0.3.1 with previous version 0.2.3 dated 2025-09-30

Title: Parse 'Tableau' Workbooks into Functional Data
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package TCHazaRds updated to version 1.1.5 with previous version 1.1.4 dated 2025-08-24

Title: Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Description: Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.
Author: Julian O'Grady [aut, cre]
Maintainer: Julian O'Grady <julian.ogrady@csiro.au>

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 man/update_Track.Rd                     |    3 ++-
 src/TCHazaRds.cpp                       |   16 ++++++++--------
 vignettes/Introduction_to_TCHazaRds.Rmd |    5 +++--
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More information about TCHazaRds at CRAN
Permanent link

Package poseticDataAnalysis updated to version 1.0.0 with previous version 0.1.1 dated 2025-10-29

Title: Posetic Data Analysis
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>

Diff between poseticDataAnalysis versions 0.1.1 dated 2025-10-29 and 1.0.0 dated 2025-12-10

 DESCRIPTION                       |    6 
 MD5                               |    8 -
 src/lexicographicProductPOSet.cpp |  175 ++++++++++++++--------------
 src/posetWrapper.cpp              |   41 +++---
 src/rwrapper.cpp                  |  234 +++++++++++++++++++-------------------
 5 files changed, 232 insertions(+), 232 deletions(-)

More information about poseticDataAnalysis at CRAN
Permanent link

Package misha updated to version 5.3.1 with previous version 4.3.12 dated 2025-08-31

Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between misha versions 4.3.12 dated 2025-08-31 and 5.3.1 dated 2025-12-10

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 misha-5.3.1/misha/src/GenomeTrack.h                                     |   17 
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Package qrmtools updated to version 0.0-19 with previous version 0.0-18 dated 2025-09-10

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package guideR updated to version 0.8.0 with previous version 0.7.0 dated 2025-11-26

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

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Package ForIT updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-22

Title: Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005
Description: Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (<https://www.inventarioforestale.org/it/>) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinct functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (<https://data.eppo.int/>).
Author: Nicola Puletti [aut, cre] , Mirko Grotti [aut], Roberto Scotti [aut]
Maintainer: Nicola Puletti <nicola.puletti@gmail.com>

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Package bundle updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-12

Title: Serialize Model Objects with a Consistent Interface
Description: Typically, models in 'R' exist in memory and can be saved via regular 'R' serialization. However, some models store information in locations that cannot be saved using 'R' serialization alone. The goal of 'bundle' is to provide a common interface to capture this information, situate it within a portable object, and restore it for use in new settings.
Author: Julia Silge [aut, cre] , Simon Couch [aut], Qiushi Yan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package vinereg updated to version 0.12.1 with previous version 0.11.0 dated 2025-01-11

Title: D-Vine Quantile Regression
Description: Implements D-vine quantile regression models with parametric or nonparametric pair-copulas. See Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and Schallhorn et al. (2017) <doi:10.48550/arXiv.1705.08310>.
Author: Thomas Nagler [aut, cre], Dani Kraus [ctb]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package OmopViewer updated to version 0.6.0 with previous version 0.5.0 dated 2025-11-16

Title: Visualise OMOP Results using 'shiny' Applications
Description: Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Edward Burn [ctb] , Nuria Mercade-Besora [ctb] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package LBBNN updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-01

Title: Latent Binary Bayesian Neural Networks Using 'torch'
Description: Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
Author: Lars Skaaret-Lund [aut, cre], Aliaksandr Hubin [aut], Eirik Hoeyheim [aut]
Maintainer: Lars Skaaret-Lund <lars.skaaret-lund@nmbu.no>

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Package gam updated to version 1.22-7 with previous version 1.22-6 dated 2025-08-22

Title: Generalized Additive Models
Description: Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
Author: Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package exametrika updated to version 1.8.0 with previous version 1.7.0 dated 2025-11-22

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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More information about exametrika at CRAN
Permanent link

Package dataone readmission to version 2.3.0 with previous version 2.2.2 dated 2022-06-10

Title: R Interface to the 'DataONE' REST API
Description: Provides read and write access to data and metadata from the 'DataONE' network <https://www.dataone.org> of data repositories. Each 'DataONE' repository implements a consistent repository application programming interface. Users call methods in R to access these remote repository functions, such as methods to query the metadata catalog, get access to metadata for particular data packages, and read the data objects from the data repository. Users can also insert and update data objects on repositories that support these methods.
Author: Matthew B. Jones [aut, cre] , Peter Slaughter [aut] , Rob Nahf [aut], Carl Boettiger [aut] , Chris Jones [aut] , Bryce Mecum [aut] , Jeanette Clark [aut] , Jordan Read [ctb] , Lauren Walker [aut] , Edmund Hart [ctb] , Scott Chamberlain [ctb] , Regent [...truncated...]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

This is a re-admission after prior archival of version 2.2.2 dated 2022-06-10

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Package WeightedCluster updated to version 2.0 with previous version 1.8-1 dated 2024-12-10

Title: Clustering of Weighted Data
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions, sequence analysis typology validation using parametric bootstraps and plotting (fuzzy) clusters of state sequences. It further provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT).
Author: Matthias Studer [aut, cre], Leonard Roth [ctb]
Maintainer: Matthias Studer <matthias.studer@unige.ch>

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Package W3CMarkupValidator updated to version 0.2-2 with previous version 0.2-1 dated 2025-08-23

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package valr updated to version 0.9.0 with previous version 0.8.4 dated 2025-06-22

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut, cre] , Kent Riemondy [aut] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Jay Hesselberth <jay.hesselberth@cuanschutz.edu>

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Package tidygate updated to version 1.0.19 with previous version 1.0.14 dated 2024-09-17

Title: Interactively Gate Points
Description: Interactively gate points on a scatter plot. Interactively drawn gates are recorded and can be applied programmatically to reproduce results exactly. Programmatic gating is based on the package gatepoints by Wajid Jawaid.
Author: Stefano Mangiola [aut], Wajid Jawaid [ctb], William Hutchison [cre, aut]
Maintainer: William Hutchison <hutchison.w@wehi.edu.au>

Diff between tidygate versions 1.0.14 dated 2024-09-17 and 1.0.19 dated 2025-12-10

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Package ready4 updated to version 0.1.19 with previous version 0.1.18 dated 2024-09-30

Title: Develop and Use Modular Health Economic Models
Description: A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>

Diff between ready4 versions 0.1.18 dated 2024-09-30 and 0.1.19 dated 2025-12-10

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More information about ready4 at CRAN
Permanent link

Package mice updated to version 3.19.0 with previous version 3.18.0 dated 2025-05-27

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Gerko Vink [ctb], Rianne Schouten [ctb], Alexander Robitzsch [ctb], Patrick Rockenschaub [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Margarita Moreno-Betancur [ctb], Ian White [ctb], Phil [...truncated...]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

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Package memo updated to version 1.1.2 with previous version 1.1.1 dated 2023-12-11

Title: Hashmaps and Memoization (in-Memory Caching of Repeated Computations)
Description: A simple in-memory, LRU cache that can be wrapped around any function to memoize it. The cache is keyed on a hash of the input data (using 'digest') or on pointer equivalence. Also includes a generic hashmap object that can key on any object type.
Author: Peter Meilstrup [aut, cre]
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>

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Permanent link

Package giscoR updated to version 1.0.0 with previous version 0.6.1 dated 2025-01-27

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>

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Package yaml updated to version 2.3.12 with previous version 2.3.11 dated 2025-11-28

Title: Methods to Convert R Data to YAML and Back
Description: Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<https://pyyaml.org/wiki/LibYAML>) for R.
Author: Hadley Wickham [cre] , Shawn Garbett [ctb] , Jeremy Stephens [aut, ctb], Kirill Simonov [aut], Yihui Xie [ctb] , Zhuoer Dong [ctb], Jeffrey Horner [ctb], reikoch [ctb], Will Beasley [ctb] , Brendan O'Connor [ctb], Michael Quinn [ctb], Charlie Gao [ct [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package vip updated to version 0.4.3 with previous version 0.4.2 dated 2025-12-02

Title: Variable Importance Plots
Description: A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Author: Brandon M. Greenwell [aut, cre] , Brad Boehmke [aut]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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Package targeted updated to version 0.7 with previous version 0.6 dated 2025-10-30

Title: Targeted Inference
Description: Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) <doi:10.2202/1557-4679.1008>), estimators for risk differences and relative risks (Richardson et al. (2017) <doi:10.1080/01621459.2016.1192546>), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) <doi:10.1111/rssb.12504>).
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [aut], Andreas Nordland [aut], Christian B. Pipper [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package redland updated to version 1.0.17-19 with previous version 1.0.17-18 dated 2024-02-23

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <https://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre] , Peter Slaughter [aut] , Jeroen Ooms [aut] , Carl Boettiger [aut] , Scott Chamberlain [ctb] , David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package LINselect updated to version 1.1.6 with previous version 1.1.5 dated 2023-12-07

Title: Selection of Linear Estimators
Description: Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
Author: Yannick Baraud [aut], Christophe Giraud [aut], Sylvie Huet [aut], Benjamin Auder [cre]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

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Package duckdb updated to version 1.4.3 with previous version 1.4.2 dated 2025-11-17

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Tue, 09 Dec 2025

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

Title: Access EPA 'ATTAINS' Data
Description: An R interface to United States Environmental Protection Agency (EPA) Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System ('ATTAINS') data. 'ATTAINS' is the EPA database used to track information provided by states about water quality assessments conducted under federal Clean Water Act requirements. ATTAINS information and API information is available at <https://www.epa.gov/waterdata/attains>.
Author: Michael Schramm [aut, cre, cph]
Maintainer: Michael Schramm <mpschramm@gmail.com>

Diff between rATTAINS versions 1.0.1 dated 2025-05-19 and 1.1.0 dated 2025-12-09

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Permanent link

Package scCustomize updated to version 3.2.3 with previous version 3.2.2 dated 2025-11-12

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

Diff between scCustomize versions 3.2.2 dated 2025-11-12 and 3.2.3 dated 2025-12-09

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Package raptools updated to version 1.23.0 with previous version 1.22.0 dated 2025-11-24

Title: Risk Assessment Plot and Reclassification Metrics
Description: Assessing the comparative performance of two logistic regression models or results of such models or classification models. Discrimination metrics include Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), and difference in Area Under the Curves (AUCs), Brier scores and Brier skill. Plots include Risk Assessment Plots, Decision curves and Calibration plots. Methods are described in Pickering and Endre (2012) <doi:10.1373/clinchem.2011.167965> and Pencina et al. (2008) <doi:10.1002/sim.2929>.
Author: John W Pickering [aut], Dimitrios Doudesis [aut], Daniel Perez Vicencio [cre]
Maintainer: Daniel Perez Vicencio <dvicencio947@gmail.com>

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Package chores updated to version 0.3.0 with previous version 0.2.0 dated 2025-04-30

Title: A Collection of Large Language Model Assistants
Description: Provides a collection of ergonomic large language model assistants designed to help you complete repetitive, hard-to-automate tasks quickly. After selecting some code, press the keyboard shortcut you've chosen to trigger the package app, select an assistant, and watch your chore be carried out. While the package ships with a number of chore helpers for R package development, users can create custom helpers just by writing some instructions in a markdown file.
Author: Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package sourcoise updated to version 1.0.0 with previous version 0.6.2 dated 2025-05-27

Title: Source a Script and Cache
Description: Provides a function that behaves nearly as base::source() but implements a caching mechanism on disk, project based. It allows to quasi source() R scripts that gather data but can fail or consume to much time to respond even if nothing new is expected. It comes with tools to check and execute on demand or when cache is invalid the script.
Author: Xavier Timbeau [aut, cre, cph]
Maintainer: Xavier Timbeau <xavier.timbeau@sciencespo.fr>

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Package chilemapas updated to version 0.4.0 with previous version 0.3.0 dated 2022-07-14

Title: Mapas de las Divisiones Politicas y Administrativas de Chile (Maps of the Political and Administrative Divisions of Chile)
Description: Mapas terrestres con topologias simplificadas. Estos mapas no tienen precision geodesica, por lo que aplica el DFL-83 de 1979 de la Republica de Chile y se consideran referenciales sin validez legal. No se incluyen los territorios antarticos y bajo ningun evento estos mapas significan que exista una cesion u ocupacion de territorios soberanos en contra del Derecho Internacional por parte de Chile. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Terrestrial maps with simplified toplogies. These maps lack geodesic precision, therefore DFL-83 1979 of the Republic of Chile applies and are considered to have no legal validity. Antartic territories are excluded and under no event these maps mean there is a cession or occupation of sovereign territories against International Laws from Chile. This package was intentionally documented in asciified spanish to make it work without problem on different platforms.)
Author: Mauricio Vargas [aut, cre], Roberto Salas [ctb], Joshua Kunst [ctb], Juan Correa [dtc], Ricardo Aravena [ths], Pontificia Universidad Catolica de Chile [cph], Instituto Nacional de Estadisticas [dtc], Subsecretaria de Desarrollo Regional [dtc], Bib [...truncated...]
Maintainer: Mauricio Vargas <mavargas11@uc.cl>

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Package sglg updated to version 0.2.4 with previous version 0.2.3 dated 2025-11-27

Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Description: Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right or left censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Inference is based on likelihood, penalized likelihood and bootstrap methods. Lastly, some numerical and graphical devices for diagnostic of the fitted models are offered.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] , Gilberto Paula [aut], Luis Vanegas [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package odiffr updated to version 0.5.1 with previous version 0.1.0 dated 2025-12-01

Title: Fast Pixel-by-Pixel Image Comparison Using 'odiff'
Description: R bindings to 'odiff', a blazing-fast pixel-by-pixel image comparison tool <https://github.com/dmtrKovalenko/odiff>. Supports PNG, JPEG, WEBP, and TIFF with configurable thresholds, antialiasing detection, and region ignoring. Requires system installation of 'odiff'. Ideal for visual regression testing in automated workflows.
Author: Ben Wolstenholme [aut, cre]
Maintainer: Ben Wolstenholme <odiffr@benwolst.dev>

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Package geocodebr updated to version 0.5.0 with previous version 0.4.0 dated 2025-11-18

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] , 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>

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Package dcortools updated to version 0.1.7 with previous version 0.1.6 dated 2022-12-09

Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <doi:10.48550/arXiv.1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

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Package arulesNBMiner updated to version 0.1.9 with previous version 0.1-8 dated 2021-09-07

Title: Mining NB-Frequent Itemsets and NB-Precise Rules
Description: NBMiner is an implementation of the model-based mining algorithm for mining NB-frequent itemsets and NB-precise rules. Michael Hahsler (2006) <doi:10.1007/s10618-005-0026-2>.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package opalr updated to version 3.5.2 with previous version 3.5.1 dated 2025-11-16

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] , Amadou Gaye [ctb] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package metacor updated to version 1.2.1 with previous version 1.2.0 dated 2025-09-26

Title: Meta-Analytic Effect Size Calculation for Pre-Post Designs with Correlation Imputation
Description: Tools for the calculation of effect sizes (standardised mean difference) and mean difference in pre-post controlled studies, including robust imputation of missing variances (standard deviation of changes) and correlations (Pearson correlation coefficient). The main function 'metacor_dual()' implements several methods for imputing missing standard deviation of changes or Pearson correlation coefficient, and generates transparent imputation reports. Designed for meta-analyses with incomplete summary statistics. For details on the methods, see Higgins et al. (2023) and Fu et al. (2013).
Author: Iker J. Bautista [aut, cre], Saul M. Rodriguez [ctb]
Maintainer: Iker J. Bautista <ikerugr@gmail.com>

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Package maestro updated to version 0.7.1 with previous version 0.7.0 dated 2025-10-31

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package ggstatsplot updated to version 0.13.4 with previous version 0.13.3 dated 2025-10-05

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package pkgstats readmission to version 0.2.1 with previous version 0.1.1 dated 2022-06-21

Title: Metrics of R Packages
Description: Static code analyses for R packages using the external code-tagging libraries 'ctags' and 'gtags'. Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full 'CRAN' archive, enabling the statistical properties of any package to be compared with all other 'CRAN' packages.
Author: Mark Padgham [aut, cre] , Michael Sumner [ctb] , Jeffrey Hollister [ctb] , Egor Kotov [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

This is a re-admission after prior archival of version 0.1.1 dated 2022-06-21

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Package mmrm updated to version 0.3.16 with previous version 0.3.15 dated 2025-06-10

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

Diff between mmrm versions 0.3.15 dated 2025-06-10 and 0.3.16 dated 2025-12-09

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Package robustHD updated to version 0.8.3 with previous version 0.8.2 dated 2025-10-02

Title: Robust Methods for High-Dimensional Data
Description: Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression. Specifically, the package implements robust least angle regression (Khan, Van Aelst & Zamar, 2007; <doi:10.1198/016214507000000950>), (robust) groupwise least angle regression (Alfons, Croux & Gelper, 2016; <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed squares regression (Alfons, Croux & Gelper, 2013; <doi:10.1214/12-AOAS575>).
Author: Andreas Alfons [aut, cre] , Dirk Eddelbuettel [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package sampcompR updated to version 0.3.2 with previous version 0.3.1.2 dated 2025-07-04

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package ecotrends updated to version 1.2 with previous version 1.1 dated 2025-07-07

Title: Temporal Trends in Ecological Niche Models
Description: Computes temporal trends in environmental suitability obtained from ecological niche models, based on a set of species presence point coordinates and predictor variables.
Author: A. Marcia Barbosa [aut, cre], Joao Alirio [aut], Nuno Garcia [aut], Joao Campos [aut], Ana Claudia Teodoro [aut], Lia Barbara Duarte [aut], Isabel Pocas [aut], Salvador Arenas-Castro [aut], Neftali Sillero [aut]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between ecotrends versions 1.1 dated 2025-07-07 and 1.2 dated 2025-12-09

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Package StableEstim updated to version 2.4 with previous version 2.3 dated 2024-10-24

Title: Estimate the Four Parameters of Stable Laws using Different Methods
Description: Estimate the four parameters of stable laws using maximum likelihood method, generalised method of moments with finite and continuum number of points, iterative Koutrouvelis regression and Kogon-McCulloch method. The asymptotic properties of the estimators (covariance matrix, confidence intervals) are also provided.
Author: Tarak Kharrat [aut] , Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package rxode2 updated to version 5.0.1 with previous version 5.0.0 dated 2025-11-28

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

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Package groundhog updated to version 3.3.0 with previous version 3.2.3 dated 2025-05-12

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts reproducible, by ensuring that every time a given script is run, the same version of the used packages are loaded (instead of whichever version the user running the script happens to have installed). This is achieved by using the command groundhog.library() instead of the base command library(), and including a date in the call. The date is used to call on the same version of the package every time (the most recent version available at that date). Load packages from CRAN, GitHub, or Gitlab.
Author: Uri Simonsohn [aut, cre] , Hugo Gruson [ctb, aut]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package geeLite updated to version 1.0.5 with previous version 1.0.4 dated 2025-12-01

Title: Building and Managing Local Databases from 'Google Earth Engine'
Description: Simplifies the creation, management, and updating of local databases using data extracted from 'Google Earth Engine' ('GEE'). It integrates with 'GEE' to store, aggregate, and process spatio-temporal data, leveraging 'SQLite' for efficient, serverless storage. The 'geeLite' package provides utilities for data transformation and supports real-time monitoring and analysis of geospatial features, making it suitable for researchers and practitioners in geospatial science. For details, see Kurbucz and Andrée (2025) "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package" <https://hdl.handle.net/10986/43165>.
Author: Marcell T. Kurbucz [aut, cre], Bo Pieter Johannes Andree [aut]
Maintainer: Marcell T. Kurbucz <m.kurbucz@ucl.ac.uk>

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Package BAwiR updated to version 1.4.3 with previous version 1.4.2 dated 2025-11-20

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

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Package PoweREST updated to version 0.1.2 with previous version 0.1.1 dated 2025-08-24

Title: A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics
Description: Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2025) <doi:10.1371/journal.pcbi.1013293> for method details.
Author: Lan Shui [aut, cre]
Maintainer: Lan Shui <Lan.Shui@uth.tmc.edu>

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Package MSclassifR updated to version 0.5.0 with previous version 0.4.0 dated 2025-07-02

Title: Automated Classification of Mass Spectra
Description: Functions to classify mass spectra in known categories and to determine discriminant mass-to-charge values (m/z). Includes easy-to-use preprocessing pipelines for Matrix Assisted Laser Desorption Ionisation - Time Of Flight Mass Spectrometry (MALDI-TOF) mass spectra, methods to select discriminant m/z from labelled libraries, and tools to predict categories (species, phenotypes, etc.) from selected features. Also provides utilities to build design matrices from peak intensities and labels. While this package was developed with the aim of identifying very similar species or phenotypes of bacteria from MALDI-TOF MS, the functions of this package can also be used to classify other categories associated to mass spectra; or from mass spectra obtained with other mass spectrometry techniques. Parallelized processing and optional C++-accelerated functions are available (notably to deal with large datasets) from version 0.5.0. If you use this package in your research, please cite the associat [...truncated...]
Author: Alexandre Godmer [aut, cre], Quentin Giai Gianetto [aut], Karen Druart [aut]
Maintainer: Alexandre Godmer <alexandre.godmer@aphp.fr>

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Package gsynth updated to version 1.3.1 with previous version 1.2.1 dated 2021-08-06

Title: Generalized Synthetic Control Method
Description: Conducts causal inference with interactive fixed-effect models. It imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability.
Author: Yiqing Xu [aut, cre] , Licheng Liu [aut], Ziyi Liu [aut], Shiyun Hu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package g6R updated to version 0.5.0 with previous version 0.1.0 dated 2025-07-10

Title: Graph Visualisation Engine Widget for R and 'shiny' Apps
Description: Create stunning network experiences powered by the 'G6' graph visualisation engine 'JavaScript' library <https://g6.antv.antgroup.com/en>. In 'shiny' mode, modify your graph directly from the server function to dynamically interact with nodes and edges. Select your favorite layout among 20 choices. 15 behaviors are available such as interactive edge creation, collapse-expand and brush select. 17 plugins designed to improve the user experience such as a mini-map, toolbars and grid lines. Customise the look and feel of your graph with comprehensive options for nodes, edges and more.
Author: David Granjon [aut, cre], David Schoch [aut], cynkra GmbH [fnd], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package dittoViz updated to version 1.0.5 with previous version 1.0.4 dated 2025-07-22

Title: User Friendly Data Visualization
Description: A comprehensive visualization toolkit built with coders of all skill levels and color-vision impaired audiences in mind. It allows creation of finely-tuned, publication-quality figures from single function calls. Visualizations include scatter plots, compositional bar plots, violin, box, and ridge plots, and more. Customization ranges from size and title adjustments to discrete-group circling and labeling, hidden data overlay upon cursor hovering via ggplotly() conversion, and many more, all with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>

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Package CalibrationCurves updated to version 3.0.0 with previous version 2.0.7 dated 2025-07-07

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See Lasai et al. (2025) <doi:10.48550/arXiv.2503.08389>, De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Barrenada Lasai [aut], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

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Package svDialogs updated to version 1.1.2 with previous version 1.1.1 dated 2025-08-26

Title: 'SciViews::R' - Standard Dialog Boxes for Windows, MacOS and Linuxes
Description: Quickly construct standard dialog boxes for your GUI, including message boxes, input boxes, list, file or directory selection, ... In case R cannot display GUI dialog boxes, a simpler command line version of these interactive elements is also provided as fallback solution.
Author: Philippe Grosjean [aut, cre] , Paul Hibbins [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package geneExpressionFromGEO updated to version 1.3 with previous version 1.2 dated 2025-04-11

Title: Easily Downloads a Gene Expression Dataset from a GEO Code and Retrieves the Gene Symbols of Its Probesets
Description: A function that reads in the GEO code of a gene expression dataset, retrieves its data from GEO, (optionally) retrieves the gene symbols of the dataset, and returns a simple dataframe table containing all the data. Platforms available: GPL11532, GPL23126, GPL6244, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>. More information can be found in the following manuscript: Davide Chicco, "geneExpressionFromGEO: an R package to facilitate data reading from Gene Expression Omnibus (GEO)". Microarray Data Analysis, Methods in Molecular Biology, volume 2401, chapter 12, pages 187-194, Springer Protocols, 2021, <doi:10.1007/978-1-0716-1839-4_12>.
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>

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Package diceplot updated to version 0.2.2 with previous version 0.2.1 dated 2025-08-18

Title: High Dimensional Categorical Data Visualization
Description: Easy visualization for datasets with more than two categorical variables and additional continuous variables. The package is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. This package is now in maintenance-only mode and kept for legacy compatibility; for new projects and active development, please use the successor package 'ggdiceplot' (see <https://github.com/maflot/ggdiceplot> and <https://dice-and-domino-plot.readthedocs.io/en/latest/>).
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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Package box.linters updated to version 0.10.7 with previous version 0.10.6 dated 2025-06-26

Title: Linters for 'box' Modules
Description: Static code analysis of 'box' modules. The package enhances code quality by providing linters that check for common issues, enforce best practices, and ensure consistent coding standards.
Author: Ricardo Rodrigo Basa [aut, cre], Jakub Nowicki [aut], Mateusz Kolomanski [ctb], Guilherme Vituri [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>

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Package wordvector updated to version 0.6.0 with previous version 0.5.1 dated 2025-06-20

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

Diff between wordvector versions 0.5.1 dated 2025-06-20 and 0.6.0 dated 2025-12-09

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Package VLMC updated to version 1.4-5 with previous version 1.4-4 dated 2024-08-19

Title: Variable Length Markov Chains ('VLMC') Models
Description: Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
Author: Martin Maechler [aut, cre]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between VLMC versions 1.4-4 dated 2024-08-19 and 1.4-5 dated 2025-12-09

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Package shiny updated to version 1.12.1 with previous version 1.12.0 dated 2025-12-03

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut, cre] , Barret Schloerke [aut] , Garrick Aden-Buie [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], Posit Softwa [...truncated...]
Maintainer: Carson Sievert <carson@posit.co>

Diff between shiny versions 1.12.0 dated 2025-12-03 and 1.12.1 dated 2025-12-09

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Package ReliaGrowR readmission to version 0.3.2 with previous version 0.3.1 dated 2025-11-21

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2025-11-21

Diff between ReliaGrowR versions 0.3.1 dated 2025-11-21 and 0.3.2 dated 2025-12-09

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Package redcapAPI updated to version 2.11.5 with previous version 2.11.4 dated 2025-10-29

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between redcapAPI versions 2.11.4 dated 2025-10-29 and 2.11.5 dated 2025-12-09

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