Wed, 26 Nov 2025

New package xtvfreg with initial version 1.1.0
Package: xtvfreg
Title: Variance Function Panel Regression
Version: 1.1.0
Description: Implements an iterative mean-variance panel regression estimator that allows both the mean and variance of the dependent variable to be functions of covariates. The method alternates between estimating a mean equation (using generalized linear models with Gaussian family) and a variance equation (using generalized linear models with Gamma family on squared within-group residuals) until convergence. Based on the methodology in Mooi-Reci and Liao (2025) <doi:10.1093/esr/jcae052>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, rlang
Suggests: haven, ggplot2, knitr, gt, modelsummary
NeedsCompilation: no
Packaged: 2025-11-22 14:56:52 UTC; tfliao
Author: Tim F. Liao [aut, cre]
Maintainer: Tim F. Liao <tfliao@illinois.edu>
Repository: CRAN
Date/Publication: 2025-11-26 20:40:02 UTC

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New package macro with initial version 0.1.5
Package: macro
Title: A Macro Language for 'R' Programs
Version: 0.1.5
Description: A macro language for 'R' programs, which provides a macro facility similar to 'SAS®'. This package contains basic macro capabilities like defining macro variables, executing conditional logic, and defining macro functions.
License: CC0
Encoding: UTF-8
URL: https://macro.r-sassy.org, https://github.com/dbosak01/macro
BugReports: https://github.com/dbosak01/macro/issues
Depends: R (>= 4.0), common
Suggests: sassy, knitr, rmarkdown, testthat (>= 3.0.0), rstudioapi
Imports: fmtr, utils, crayon
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-22 11:42:00 UTC; dbosa
Author: David Bosak [aut, cre], Bill Huang [ctb], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 20:30:02 UTC

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New package KWCChangepoint with initial version 0.2.3
Package: KWCChangepoint
Title: Robust Changepoint Detection for Functional and Multivariate Data
Version: 0.2.3
Description: Detect and test for changes in covariance structures of functional data, as well as changepoint detection for multivariate data more generally. Method for detecting non-stationarity in resting state functional Magnetic Resonance Imaging (fMRI) scans as seen in Ramsay, K., & Chenouri, S. (2025) <doi:10.1080/10485252.2025.2503891> is implemented in fmri_changepoints(). Also includes depth- and rank-based implementation of the wild binary segmentation algorithm for detecting multiple changepoints in multivariate data.
License: MIT + file LICENSE
URL: https://github.com/adeeb99/KWCChangepoint, https://adeeb99.github.io/KWCChangepoint/
BugReports: https://github.com/adeeb99/KWCChangepoint/issues
Depends: R (>= 4.1)
Encoding: UTF-8
Imports: ddalpha, fda.usc, tibble, Rcpp (>= 1.0.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-23 00:19:01 UTC; adeeb
Author: Adeeb Rouhani [aut, cre, cph] , Kelly Ramsay [aut]
Maintainer: Adeeb Rouhani <adeeb.rouhani@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 20:50:02 UTC

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New package kuzuR with initial version 0.2.3
Package: kuzuR
Title: Interface to 'kuzu' Graph Database
Version: 0.2.3
Maintainer: Manuel Wick-Eckl <manuel.wick@gmail.com>
Description: Provides a high-performance 'R' interface to the 'kuzu' graph database. It uses the 'reticulate' package to wrap the official 'Python' client ('kuzu', 'pandas', and 'networkx'), allowing users to interact with 'kuzu' seamlessly from within 'R'. Key features include managing database connections, executing 'Cypher' queries, and efficiently loading data from 'R' data frames. It also provides seamless integration with the 'R' ecosystem by converting query results directly into popular 'R' data structures, including 'tibble', 'igraph', 'tidygraph', and 'g6R' objects, making 'kuzu's powerful graph computation capabilities readily available for data analysis and visualization workflows in 'R'. The 'kuzu' documentation can be found at <https://kuzudb.github.io/docs/>.
URL: https://github.com/WickM/kuzuR, https://wickm.github.io/kuzuR/
BugReports: https://github.com/WickM/kuzuR/issues
License: MIT + file LICENSE
Imports: reticulate, igraph, tibble, tidygraph
Suggests: g6R, jsonlite, testthat (>= 3.0.0), knitr, rmarkdown, spelling, arrow
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-22 09:38:54 UTC; krist
Author: Manuel Wick-Eckl [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-26 20:30:07 UTC

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Package BTM updated to version 0.3.8 with previous version 0.3.7 dated 2023-02-11

Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Xiaohui Yan [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between BTM versions 0.3.7 dated 2023-02-11 and 0.3.8 dated 2025-11-26

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Package gofigR updated to version 1.1.3 with previous version 1.1.2 dated 2025-07-31

Title: Client for 'GoFigr.io'
Description: Integrates with your 'RMarkdown' documents to automatically publish figures to the <https://GoFigr.io> service. Supports both 'knitr' and interactive execution within 'RStudio'.
Author: Maciej Pacula [cre, aut], Flagstaff Solutions, LLC [cph]
Maintainer: Maciej Pacula <maciej@gofigr.io>

Diff between gofigR versions 1.1.2 dated 2025-07-31 and 1.1.3 dated 2025-11-26

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Package charlesschwabapi updated to version 1.0.5 with previous version 1.0.4 dated 2024-12-10

Title: Wrapper Functions Around 'Charles Schwab Individual Trader API'
Description: For those wishing to interact with the 'Charles Schwab Individual Trader API' (<https://developer.schwab.com/products/trader-api--individual>) with R in a simplified manner, this package offers wrapper functions around authentication and the available API calls to streamline the process.
Author: Nick Bultman [aut, cre, cph], Todd Sykes [ctb]
Maintainer: Nick Bultman <njbultman74@gmail.com>

Diff between charlesschwabapi versions 1.0.4 dated 2024-12-10 and 1.0.5 dated 2025-11-26

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 61 files changed, 1256 insertions(+), 774 deletions(-)

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Package SNPannotator updated to version 1.4.3 with previous version 1.4.0 dated 2025-11-16

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

Diff between SNPannotator versions 1.4.0 dated 2025-11-16 and 1.4.3 dated 2025-11-26

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Package semtree updated to version 0.9.23 with previous version 0.9.22 dated 2025-07-28

Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups each sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees. A description of the method was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut], Caspar J. Van Lissa [aut], Moritz John [ctb]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>

Diff between semtree versions 0.9.22 dated 2025-07-28 and 0.9.23 dated 2025-11-26

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Package fastbioclim updated to version 0.3.0 with previous version 0.2.1 dated 2025-09-08

Title: Scalable and Efficient Derivation of Bioclimatic Variables
Description: Provides a high-performance framework for deriving bioclimatic and custom summary variables from large-scale climate raster data. The package features a dual-backend architecture that intelligently switches between fast in-memory processing for smaller datasets (via the 'terra' package) and a memory-safe tiled approach for massive datasets that do not fit in RAM (via 'exactextractr' and 'Rfast'). The main functions, derive_bioclim() and derive_statistics(), offer a unified interface with advanced options for custom time periods and static indices, making it suitable for a wide range of ecological and environmental modeling applications. A software note is in preparation. In the meantime, you can visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
Author: Gonzalo E. Pinilla-Buitrago [aut, cre] , Luis Osorio-Olvera [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago <gepinillab@gmail.com>

Diff between fastbioclim versions 0.2.1 dated 2025-09-08 and 0.3.0 dated 2025-11-26

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Package BioTrajectory updated to version 1.1.0 with previous version 1.0.1 dated 2025-06-06

Title: Image Processing Tools for Barnes Maze Experiments
Description: Tools to process the information obtained from experiments conducted in the Barnes Maze. These tools enable the detection of trajectories generated by subjects during trials, as well as the acquisition of precise coordinates and relevant statistical data regarding the results. Through this approach, it aims to facilitate the analysis and interpretation of observed behaviors, thereby contributing to a deeper understanding of learning and memory processes in such experiments.
Author: Antonio Guerrero [cre], Vanessa Ramirez [aut], Jorge Macias [ctb]
Maintainer: Antonio Guerrero <jaguerrero@correo.uaa.mx>

Diff between BioTrajectory versions 1.0.1 dated 2025-06-06 and 1.1.0 dated 2025-11-26

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Package SCORPIUS updated to version 1.0.10 with previous version 1.0.9 dated 2023-08-07

Title: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Description: An accurate and easy tool for performing linear trajectory inference on single cells using single-cell RNA sequencing data. In addition, 'SCORPIUS' provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [ctb]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package GeneScoreR updated to version 0.2.0 with previous version 0.1.1 dated 2024-10-25

Title: Gene Scoring from Count Tables
Description: Provides methods for automatic calculation of gene scores from gene count tables, including a Z-score method that requires a table of samples being scored and a count table with control samples; a geometric mean method that does not rely on control samples; and a principal component-based method that summarizes gene expression using user-selected principal components. The Z-score and geometric mean approaches are described in Kim et al. (2018) <doi:10.1089/jir.2017.0127>.
Author: Aris Syntakas [aut, cre]
Maintainer: Aris Syntakas <sejjsyn@ucl.ac.uk>

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Package BCEA updated to version 2.4.83 with previous version 2.4.82 dated 2025-10-30

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Author: Gianluca Baio [aut, cre, cph] , Andrea Berardi [aut] , Anna Heath [aut] , Nathan Green [aut]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>

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Package PFIM updated to version 7.0.1 with previous version 7.0 dated 2025-07-02

Title: Population Fisher Information Matrix
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Author: Romain Leroux [aut, cre] , France Mentre [aut] , Jeremy Seurat [ctb]
Maintainer: Romain Leroux <romainlerouxPFIM@gmail.com>

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Package latentcor updated to version 2.0.2 with previous version 2.0.1 dated 2022-09-05

Title: Fast Computation of Latent Correlations for Mixed Data
Description: The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017). For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <doi:10.48550/arXiv.1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>. The latter method uses multi-linear interpolation originally implemented in the R package <https://cran.r-project.org/package=chebpol>.
Author: Mingze Huang [aut] , Grace Yoon [aut] , Christian M&uuml;ller [aut] , Irina Gaynanova [aut, cre]
Maintainer: Irina Gaynanova <irinagn@umich.edu>

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Package GPpenalty updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-15

Title: Penalized Likelihood in Gaussian Processes
Description: Implements maximum likelihood estimation for Gaussian processes, supporting both isotropic and separable models with predictive capabilities. Includes penalized likelihood estimation following Li and Sudjianto (2005, <doi:10.1198/004017004000000671>), with cross-validation guided by decorrelated prediction error (DPE) metric. DPE metric, motivated by Mahalanobis distance, serves as evaluation criteria that accounts for predictive uncertainty in tuning parameter selection (Mutoh, Booth, and Stallrich, 2025, <doi:10.48550/arXiv.2511.18111>). Designed specifically for small datasets.
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>

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Package flowchart updated to version 1.0.0 with previous version 0.9.0 dated 2025-08-22

Title: Tidy Flowchart Generator
Description: Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.
Author: Pau Satorra [aut, cre] , Joao Carmezim [aut] , Natalia Pallares [aut] , Cristian Tebe [aut] , Kenneth Taylor [aut]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package CSHShydRology updated to version 1.4.4 with previous version 1.4.3 dated 2025-08-26

Title: Canadian Hydrological Analyses
Description: A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
Author: Kevin Shook [cre, aut], Paul Whitfield [aut], Robert Chlumsky [aut], Daniel Moore [aut], Martin Durocher [aut], Matthew Lemieux [ctb], Jason Chiang [ctb], Joel Trubilowicz [ctb], SJ Kim [ctb]
Maintainer: Kevin Shook <kevin.shook@usask.ca>

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Package saeHB updated to version 0.2.3 with previous version 0.2.2 dated 2023-11-08

Title: Small Area Estimation using Hierarchical Bayesian Method
Description: Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) methods with several univariate distributions for variables of interest. The dataset that is used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
Author: Zaza Yuda Perwira [aut, cre, cph], Azka Ubaidillah [aut], Ridson Al Farizal P [aut], Ika Yuni Wulansari [aut]
Maintainer: Zaza Yuda Perwira <zazayudaperwira93@gmail.com>

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New package RPesto with initial version 0.1.4
Package: RPesto
Title: Phylogenetic Estimation of Shifts in the Tempo of Origination
Version: 0.1.4
Description: Implements diversification analyses using the phylogenetic birth-death-shift model. It leverages belief propagation techniques to calculate branch-specific diversification rates, see Kopperud & Hoehna (2025) <doi:10.1093/sysbio/syaf041>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tidytree, treeio, ape
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2025-11-21 10:49:56 UTC; bkopper
Author: Bjoern Tore Kopperud [aut, cre], Sebastian Hoehna [aut]
Maintainer: Bjoern Tore Kopperud <kopperud@protonmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 14:00:02 UTC

More information about RPesto at CRAN
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Package rclsp updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-17

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package mlr3inferr updated to version 0.2.1 with previous version 0.2.0 dated 2025-08-28

Title: Inference on the Generalization Error
Description: Confidence interval and resampling methods for inference on the generalization error.
Author: Sebastian Fischer [cre, aut] , Hannah Schulz-Kuempel [aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package ggtern updated to version 4.0.0 with previous version 3.5.0 dated 2024-03-24

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nicholasehamilton@gmail.com>

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Package GenSA updated to version 1.1.15 with previous version 1.1.14.1 dated 2024-09-21

Title: R Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.
Author: Sylvain Gubian [aut, cre], Yang Xiang [aut], Brian Suomela [aut], Julia Hoeng [aut], PMP SA. [aut]
Maintainer: Sylvain Gubian <DL.RSupport@pmi.com>

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Package ecoval updated to version 1.2.10 with previous version 1.2.9 dated 2021-12-10

Title: Procedures for Ecological Assessment of Surface Waters
Description: Functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.
Author: Nele Schuwirth [aut, cre], Peter Reichert [aut]
Maintainer: Nele Schuwirth <nele.schuwirth@eawag.ch>

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Package dynwrap updated to version 1.2.5 with previous version 1.2.4 dated 2023-07-19

Title: Representing and Inferring Single-Cell Trajectories
Description: Provides functionality to infer trajectories from single-cell data, represent them into a common format, and adapt them. Other biological information can also be added, such as cellular grouping, RNA velocity and annotation. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package PublicationBiasBenchmark updated to version 0.1.2 with previous version 0.1.1 dated 2025-11-17

Title: Benchmark for Publication Bias Correction Methods
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package guideR updated to version 0.7.0 with previous version 0.6.0 dated 2025-11-08

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 udpipe updated to version 0.8.14 with previous version 0.8.13 dated 2025-11-26

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph] , Milan Straka [aut, cph] , Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package organik updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-25

Title: Multi-Horizon Probabilistic Ensemble with Copulas for Time Series Forecasting
Description: Trains per-horizon probabilistic ensembles from a univariate time series. It supports 'rpart', 'glmnet', and 'kNN' engines with flexible residual distributions and heteroscedastic scale models, weighting variants by calibration-aware scores. A Gaussian/t copula couples the marginals to simulate joint forecast paths, returning quantiles, means, and step increments across horizons.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package fmtr updated to version 1.7.0 with previous version 1.6.9 dated 2025-09-09

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

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Package appeears updated to version 1.2 with previous version 1.1 dated 2023-09-15

Title: Interface to 'AppEEARS' NASA Web Services
Description: Programmatic interface to the NASA Application for Extracting and Exploring Analysis Ready Samples services (AppEEARS; <https://appeears.earthdatacloud.nasa.gov/>). The package provides easy access to analysis ready earth observation data in R.
Author: Koen Hufkens [aut, cre] , Elio Campitelli [ctb] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package REDCapDM updated to version 1.0.0 with previous version 0.9.9 dated 2024-05-06

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

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Package bbotk updated to version 1.8.1 with previous version 1.8.0 dated 2025-11-06

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.8.0 dated 2025-11-06 and 1.8.1 dated 2025-11-26

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New package pmxNODE with initial version 0.1.0
Package: pmxNODE
Title: Application of NODEs in 'Monolix', 'NONMEM', and 'nlmixr2'
Version: 0.1.0
Description: An easy-to-use tool for implementing Neural Ordinary Differential Equations (NODEs) in pharmacometric software such as 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024) <doi:10.1007/s10928-023-09886-4> and Bräm et al. (2025) <doi:10.1002/psp4.13265>. The main functionality is to automatically generate structural model code describing computations within a neural network. Additionally, parameters and software settings can be initialized automatically. For using these additional functionalities with 'Monolix', 'pmxNODE' interfaces with 'MonolixSuite' via the 'lixoftConnectors' package. The 'lixoftConnectors' package is distributed with 'MonolixSuite' (<https://monolixsuite.slp-software.com/r-functions/2024R1/package-lixoftconnectors>) and is not available from public repositories.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: rxode2, nlmixr2, lixoftConnectors, withr, testthat (>= 3.0.0), knitr, rmarkdown
Imports: tidyr, ggplot2, checkmate
BugReports: https://github.com/braemd/pmxNODE/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-19 13:00:17 UTC; BraemD
Author: Dominic Braem [aut, cre] , Bernhard Steiert [ctb], Gilbert Koch [ctb], Matthew Fidler [ctb]
Maintainer: Dominic Braem <domi.braem@hotmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 09:20:02 UTC

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Package GGIRread updated to version 1.0.7 with previous version 1.0.5 dated 2025-05-09

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIRread versions 1.0.5 dated 2025-05-09 and 1.0.7 dated 2025-11-26

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Package geojsonsf updated to version 2.0.5 with previous version 2.0.3 dated 2022-05-30

Title: GeoJSON to Simple Feature Converter
Description: Converts Between GeoJSON and simple feature objects.
Author: David Cooley [aut, cre], Andy Teucher [ctb]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between geojsonsf versions 2.0.3 dated 2022-05-30 and 2.0.5 dated 2025-11-26

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New package flassomsm with initial version 0.1.0
Package: flassomsm
Title: Penalized Estimation for Multi-State Models with Lasso and Fused Penalties
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Provides a suite of methods for detecting influential subjects in longitudinal datasets, particularly when observations occur at irregular time points. The methods identify individuals whose response trajectories deviate significantly from the population pattern, enabling detection of anomalies or subjects exerting undue influence on model outcomes.
Imports: dplyr, corpcor, future, future.apply, glmnet, mstate,numDeriv, penalized, progress, progressr, survival
Suggests: ggplot2, rlang, mice
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 04:56:53 UTC; ABHIPSA TRIPATHY
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Abhipsa Tripathy [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-26 09:30:02 UTC

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Package xegaPopulation updated to version 1.0.0.11 with previous version 1.0.0.10 dated 2025-08-22

Title: Genetic Population Level Functions
Description: This collection of gene representation-independent functions implements the population layer of extended evolutionary and genetic algorithms and its support. The population layer consists of functions for initializing, logging, observing, evaluating a population of genes, as well as of computing the next population. For parallel evaluation of a population of genes 4 execution models - named Sequential, MultiCore, FutureApply, and Cluster - are provided. They are implemented by configuring the lapply() function. The execution model FutureApply can be externally configured as recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized approximate search procedure elements. Adaptive crossover and mutation rates depending on po [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package udpipe updated to version 0.8.13 with previous version 0.8.12 dated 2025-09-04

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package terminalgraphics updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-25

Title: Graphical Output in Terminals
Description: Defines a graphics device and functions for graphical output in terminal emulators that support graphical output. Currently terminals that support the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) and terminal supporting Sixel (<https://en.wikipedia.org/wiki/Sixel>) are supported.
Author: Jan van der Laan [aut, cre] , Doug Kelkhoff [ctb]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

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Package RALSA updated to version 1.6.0 with previous version 1.5.5 dated 2025-02-24

Title: R Analyzer for Large-Scale Assessments
Description: Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (< [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package OrgHeatmap updated to version 0.3.1 with previous version 0.1.2 dated 2025-09-22

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 opendataformat readmission to version 2.2.2 with previous version 2.2.0 dated 2025-03-11

Title: Reading and Writing Open Data Format Files
Description: The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format with metadata structured in the Data Documentation Initiative (DDI) Codebook standard. This package allows reading and writing of data files in the Open Data Format (ODF) in R, and displaying metadata in different languages. For further information on the Open Data Format, see <https://opendataformat.github.io/>.
Author: Tom Hartl [aut, cre] , Claudia Saalbach [ctb]
Maintainer: Tom Hartl <tom.hartl96@gmail.com>

This is a re-admission after prior archival of version 2.2.0 dated 2025-03-11

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Package nomisdata updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-24

Title: Access 'Nomis' UK Labour Market Data and Statistics
Description: Interface to the 'Nomis' database (<https://www.nomisweb.co.uk>), a comprehensive resource of United Kingdom labour market statistics provided by the Office for National Statistics (ONS). Facilitates programmatic access to census data, labour force surveys, benefit statistics, and socioeconomic indicators through a modern HTTP client with intelligent caching, automatic query pagination, and tidy data principles. Includes spatial data integration, interactive helpers, and visualization utilities. Independent implementation unaffiliated with ONS or Durham University.
Author: Cheryl Isabella Lim [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic@gmail.com>

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Package MMAD updated to version 2.0 with previous version 1.0.0 dated 2023-07-08

Title: An R Package of Minorization-Maximization Algorithm via the Assembly--Decomposition Technology
Description: The minorization-maximization (MM) algorithm is a powerful tool for maximizing nonconcave target function. However, for most existing MM algorithms, the surrogate function in the minorization step is constructed in a case-specific manner and requires manual programming. To address this limitation, we develop the R package MMAD, which systematically integrates the assembly--decomposition technology in the MM framework. This new package provides a comprehensive computational toolkit for one-stop inference of complex target functions, including function construction, evaluation, minorization and optimization via MM algorithm. By representing the target function through a hierarchical composition of assembly functions, we design a hierarchical algorithmic structure that supports both bottom-up operations (construction, evaluation) and top-down operation (minorization).
Author: Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

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Package liver updated to version 1.26 with previous version 1.25 dated 2025-11-14

Title: Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liveR," symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package jellyfisher updated to version 1.1.1 with previous version 1.0.4 dated 2025-02-06

Title: Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots
Description: Generates interactive Jellyfish plots to visualize spatiotemporal tumor evolution by integrating sample and phylogenetic trees into a unified plot. This approach provides an intuitive way to analyze tumor heterogeneity and evolution over time and across anatomical locations. The Jellyfish plot visualization design was first introduced by Lahtinen, Lavikka, et al. (2023, <doi:10.1016/j.ccell.2023.04.017>). This package also supports visualizing ClonEvol results, a tool developed by Dang, et al. (2017, <doi:10.1093/annonc/mdx517>), for analyzing clonal evolution from multi-sample sequencing data. The 'clonevol' package is not available on CRAN but can be installed from its GitHub repository (<https://github.com/hdng/clonevol>).
Author: Kari Lavikka [cph, aut, cre]
Maintainer: Kari Lavikka <kari.lavikka@helsinki.fi>

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Package galamm updated to version 0.3.0 with previous version 0.2.3 dated 2025-07-03

Title: Generalized Additive Latent and Mixed Models
Description: Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to 'lme4' (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>).
Author: Oeystein Soerensen [aut, cre] , Douglas Bates [ctb], Ben Bolker [ctb], Martin Maechler [ctb], Allan Leal [ctb], Fabian Scheipl [ctb], Steven Walker [ctb], Simon Wood [ctb]
Maintainer: Oeystein Soerensen <oystein.sorensen@psykologi.uio.no>

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Package DominoDataR updated to version 0.3.1 with previous version 0.3.0 dated 2025-10-21

Title: 'Domino Data R SDK'
Description: A wrapper on top of the 'Domino Data Python SDK' library. It lets you query and access 'Domino Data Sources' directly from your R environment. Under the hood, 'Domino Data R SDK' leverages the API provided by the 'Domino Data Python SDK', which must be installed as a prerequisite. 'Domino' is a platform that makes it easy to run your code on scalable hardware, with integrated version control and collaboration features designed for analytical workflows. See <https://docs.dominodatalab.com/en/latest/api_guide/140b48/domino-data-api> for more information.
Author: Murat Cetin [cre], Gabriel Haim [aut]
Maintainer: Murat Cetin <murat.cetin@dominodatalab.com>

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Package deeptime updated to version 2.3.1 with previous version 2.3.0 dated 2025-11-20

Title: Plotting Tools for Anyone Working in Deep Time
Description: Extends the functionality of other plotting packages (notably 'ggplot2') to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
Author: William Gearty [aut, cre]
Maintainer: William Gearty <willgearty@gmail.com>

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Package synMicrodata updated to version 2.1.3 with previous version 2.1.2 dated 2025-11-18

Title: Synthetic Microdata Generator
Description: This tool fits a non-parametric Bayesian model called a "hierarchically coupled mixture model with local dependence (HCMM-LD)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for capturing the joint distribution of the original input data in a highly flexible manner, leading to the generation of synthetic data whose distributional features are similar to that of the input data. The package allows the original input data to have missing values and impute them with the posterior predictive distribution, so no missing values exist in the synthetic data output. The method builds on the work of Murray and Reiter (2016) <doi:10.1080/01621459.2016.1174132>.
Author: Juhee Lee [aut, cre], Hang J. Kim [aut], Young-Min Kim [aut], Jared Murray [aut]
Maintainer: Juhee Lee <ljh988488@gmail.com>

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Package tidyCpp updated to version 0.0.8 with previous version 0.0.7 dated 2023-12-02

Title: Tidy C++ Header-Only Definitions for Parts of the C API of R
Description: Core parts of the C API of R are wrapped in a C++ namespace via a set of inline functions giving a tidier representation of the underlying data structures and functionality using a header-only implementation without additional dependencies.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package sommer updated to version 4.4.4 with previous version 4.4.3 dated 2025-07-30

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package sdmTMB updated to version 0.8.0 with previous version 0.7.4 dated 2025-07-29

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

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Package randomForestSRC updated to version 3.4.5 with previous version 3.4.4 dated 2025-11-05

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package MCMCvis updated to version 0.16.5 with previous version 0.16.3 dated 2023-10-17

Title: Tools to Visualize, Manipulate, and Summarize MCMC Output
Description: Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with Stan, NIMBLE, JAGS, and other software.
Author: Casey Youngflesh [aut, cre] , Christian Che-Castaldo [aut] , Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh@gmail.com>

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Package completejourney updated to version 1.1.1 with previous version 1.1.0 dated 2019-09-28

Title: Retail Shopping Data
Description: Retail shopping transactions for 2,469 households over one year. Originates from the 84.51° Complete Journey 2.0 source files <https://www.8451.com/area51> which also includes useful metadata on products, coupons, campaigns, and promotions.
Author: Brad Boehmke [aut, cre] , Steven M. Mortimer [aut]
Maintainer: Brad Boehmke <bradleyboehmke@gmail.com>

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Package sumR (with last version 0.4.15) was removed from CRAN

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

2023-11-28 0.4.15
2023-08-21 0.4.14
2022-10-14 0.4.10
2022-09-29 0.4.8
2022-03-13 0.4.6
2022-02-16 0.4.4
2022-02-14 0.4.3

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Package FORTLS (with last version 1.6.1) was removed from CRAN

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

2025-11-11 1.6.1
2025-07-29 1.6.0
2025-06-12 1.5.3
2025-05-04 1.5.2
2025-05-01 1.5.1
2025-03-17 1.5.0
2024-01-21 1.4.0
2023-09-11 1.3.0

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Package lazy (with last version 1.2-18) was removed from CRAN

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

2022-10-21 1.2-18
2022-04-06 1.2-17
2018-07-20 1.2-16
2013-09-22 1.2-15

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