Thu, 13 Nov 2025

Package gimme updated to version 0.9.3 with previous version 0.9.2 dated 2025-08-22

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen M Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

Diff between gimme versions 0.9.2 dated 2025-08-22 and 0.9.3 dated 2025-11-13

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Package EFM updated to version 1.3.0 with previous version 0.5.0 dated 2025-10-21

Title: Elliptical Factor Models
Description: The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Yuanyuan Zhou [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between EFM versions 0.5.0 dated 2025-10-21 and 1.3.0 dated 2025-11-13

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Package CFM updated to version 0.7.0 with previous version 0.6.0 dated 2025-10-22

Title: Analyzing Censored Factor Models
Description: Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Tong Meng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package turkeyelections updated to version 0.1.3 with previous version 0.1.2 dated 2024-04-30

Title: The Most Comprehensive R Package for Turkish Election Results
Description: Includes the results of general, local, and presidential elections held in Turkey between 1995 and 2023, broken down by provinces and overall national results. It facilitates easy processing of this data and the creation of visual representations based on these election results.
Author: Ozancan Ozdemir [aut, cre]
Maintainer: Ozancan Ozdemir <ozancanozdemir@gmail.com>

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Package rdav updated to version 0.2.2 with previous version 0.2.0 dated 2025-11-01

Title: Simple 'WebDAV' Client
Description: A simple 'WebDAV' client that provides functions to fetch and send files or folders to servers using the 'WebDAV' protocol (see 'RFC' 4918 <https://www.rfc-editor.org/rfc/rfc4918>). Only a subset of the protocol is implemented (e.g. file locks are not yet supported).
Author: Gunther Krauss [aut, cre]
Maintainer: Gunther Krauss <guntherkrauss@uni-bonn.de>

Diff between rdav versions 0.2.0 dated 2025-11-01 and 0.2.2 dated 2025-11-13

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New package XYomics with initial version 0.1.1
Package: XYomics
Title: Analysis of Sex Differences in Omics Data for Complex Diseases
Version: 0.1.1
Maintainer: Enrico Glaab <enrico.glaab@uni.lu>
Description: Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.
Depends: R (>= 3.6)
Imports: limma, igraph, edgeR, Seurat, SeuratObject, clusterProfiler, org.Hs.eg.db, ReactomePA, data.table, ggplot2, tidyr, grid, ggraph, dplyr, ggrepel, scales, Rcpp, methods
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: R.utils, DT, gridExtra, knitr, htmltools, kableExtra, rmarkdown, stringr
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-11-10 15:07:41 UTC; mohamed.soudy
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:08 UTC

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New package Ssarkartrim with initial version 1.0.0
Package: Ssarkartrim
Title: Trimmed-k Mean Estimator
Version: 1.0.0
Date: 2025-11-08
Description: Computes the trimmed-k mean by removing the k smallest and k largest values from a numeric vector. Created for STAT 5400 at the University of Iowa.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-11 03:41:42 UTC; shouhardyo
Author: Shouhardyo Sarkar [aut, cre]
Maintainer: Shouhardyo Sarkar <shouhardyo-sarkar@uiowa.edu>
Repository: CRAN
Date/Publication: 2025-11-13 21:10:10 UTC

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New package nlmixr2autoinit with initial version 1.0.0
Package: nlmixr2autoinit
Title: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling
Version: 1.0.0
Description: Provides automated methods for generating initial parameter estimates in population pharmacokinetic modeling. The pipeline integrates adaptive single-point methods, naive pooled graphic approaches, noncompartmental analysis methods, and parameter sweeping across pharmacokinetic models. It estimates residual unexplained variability using either data-driven or fixed-fraction approaches and assigns pragmatic initial values for inter-individual variability. These strategies are designed to improve model robustness and convergence in 'nlmixr2' workflows. For more details see Huang Z, Fidler M, Lan M, Cheng IL, Kloprogge F, Standing JF (2025) <doi:10.1007/s10928-025-10000-z>.
License: GPL (>= 3)
URL: https://github.com/ucl-pharmacometrics/nlmixr2autoinit
BugReports: https://github.com/ucl-pharmacometrics/nlmixr2autoinit/issues
Depends: nlmixr2data, R (>= 4.0)
Imports: nlmixr2, nlmixr2est, rxode2, dplyr, tidyr, crayon, purrr, knitr, magrittr, progressr, tibble, vpc
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-11 04:05:53 UTC; zhonghuihuang
Author: Zhonghui Huang [aut, cre], Joseph Standing [ctb], Matthew Fidler [ctb], Frank Kloprogge [ctb]
Maintainer: Zhonghui Huang <huangzhonghui22@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 21:10:02 UTC

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New package gTestsPair with initial version 0.1
Package: gTestsPair
Version: 0.1
Date: 2025-11-02
Title: New Nonparametric Tests for Multivariate Paired Data and Pair Matching
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Depends: R (>= 3.5.0)
Imports: ade4
Description: Implements three nonparametric two-sample tests for multivariate paired data and pair matching. Methods are described in the associated preprint: <doi:10.48550/arXiv.2007.01497>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-11 20:39:51 UTC; hao
Author: Jingru Zhang [aut], Hao Chen [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 21:30:02 UTC

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New package carts with initial version 0.1.0
Package: carts
Title: Simulation-Based Assessment of Covariate Adjustment in Randomized Trials
Version: 0.1.0
Maintainer: Benedikt Sommer <benediktsommer92@gmail.com>
Description: Monte Carlo simulation framework for different randomized clinical trial designs with a special emphasis on estimators based on covariate adjustment. The package implements regression-based covariate adjustment (Rosenblum & van der Laan (2010) <doi:10.2202/1557-4679.1138>) and a one-step estimator (Van Lancker et al (2024) <doi:10.48550/arXiv.2404.11150>) for trials with continuous, binary and count outcomes. The estimation of the minimum sample-size required to reach a specified statistical power for a given estimator uses bisection to find an initial rough estimate, followed by stochastic approximation (Robbins-Monro (1951) <doi:10.1214/aoms/1177729586>) to improve the estimate, and finally, a grid search to refine the estimate in the neighborhood of the current best solution.
License: Apache License (>= 2)
Depends: R (>= 4.1), lava (>= 1.8.0)
Imports: data.table (>= 1.14), logger (>= 0.2.2), methods, progressr, R6 (>= 2.5.1), survival, targeted (>= 0.6), rlang
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo
Suggests: future, tinytest, MASS, geepack, covr, pdftools, knitr, mets (>= 1.3.4), rmarkdown, magick, pwr, pwrss
BugReports: https://github.com/NovoNordisk-OpenSource/carts/issues
URL: https://novonordisk-opensource.github.io/carts/, https://github.com/NovoNordisk-OpenSource/carts
VignetteBuilder: knitr
ByteCompile: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-11 09:09:54 UTC; bkts
Author: Benedikt Sommer [aut, cre], Klaus K. Holst [aut], Foroogh Shamsi [aut], Novo Nordisk A/S [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:02 UTC

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New package biostats with initial version 1.0.0
Package: biostats
Title: Biostatistics and Clinical Data Analysis
Version: 1.0.0
Description: Biostatistical and clinical data analysis, including descriptive statistics, exploratory data analysis, sample size and power calculations, statistical inference, and data visualization. Normality tests are implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, omnibus test procedures are based on Blanca et al. (2017) <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), while sample size and power calculation methods follow Chow et al. (2017) <doi:10.1201/9781315183084>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), covr
Imports: ggplot2, gridExtra, rlang, car, gt
URL: https://github.com/sebasquirarte/biostats
BugReports: https://github.com/sebasquirarte/biostats/issues
NeedsCompilation: no
Packaged: 2025-11-11 22:11:53 UTC; squirartej
Author: Sebastian Quirarte-Justo [aut, cre] , Angela Carolina Montano-Ruiz [aut] , Jose Maria Torres-Arellano [aut] , Laboratorios Sophia S.A. de C.V. [cph, fnd]
Maintainer: Sebastian Quirarte-Justo <sebastian.quirarte@sophia.com.mx>
Repository: CRAN
Date/Publication: 2025-11-13 21:40:02 UTC

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New package unifiedml with initial version 0.1.0
Package: unifiedml
Title: Unified Interface for Machine Learning Models
Version: 0.1.0
Date: 2025-11-05
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>
Description: Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
License: MIT + file LICENSE
URL: https://github.com/Techtonique/unifiedml
BugReports: https://github.com/Techtonique/unifiedml/issues
Depends: R (>= 3.5.0), doParallel, R6, foreach
Imports: Rcpp (>= 1.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, glmnet, randomForest, e1071, covr, spelling, MASS
VignetteBuilder: knitr
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-11-10 21:42:50 UTC; t
Author: T. Moudiki [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 19:10:02 UTC

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Package SimInf updated to version 10.0.0 with previous version 9.8.1 dated 2024-06-21

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides function [...truncated...]
Author: Stefan Widgren [aut, cre] , Robin Eriksson [aut] , Stefan Engblom [aut] , Pavol Bauer [aut] , Thomas Rosendal [ctb] , Ivana Rodriguez Ewerloef [ctb] , Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between SimInf versions 9.8.1 dated 2024-06-21 and 10.0.0 dated 2025-11-13

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New package cld with initial version 0.0.1
Package: cld
Title: Create Compact Letter Display (CLD) for Statistical Comparisons
Version: 0.0.1
Description: Creates compact letter displays (CLDs) for pairwise comparisons from statistical post-hoc tests. Groups sharing the same letter are not significantly different from each other. Supports multiple input formats including results from 'stats' pairwise tests, 'DescTools', 'PMCMRplus', 'rstatix', symmetric matrices of p-values, and data frames. Provides a consistent interface for visualizing statistical groupings across different testing frameworks.
License: GPL (>= 3)
URL: https://gegznav.github.io/cld/
BugReports: https://github.com/GegznaV/cld/issues
Imports: checkmate, multcompView, rlang
Suggests: DescTools, dplyr, ggplot2, knitr, PMCMR, PMCMRplus, rcompanion, rmarkdown, rstatix, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 19:26:21 UTC; ViG
Author: Vilmantas Gegzna [aut, cre]
Maintainer: Vilmantas Gegzna <GegznaV@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:10:07 UTC

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New package transGFM with initial version 1.0.1
Package: transGFM
Title: Transfer Learning for Generalized Factor Models
Version: 1.0.1
Date: 2025-11-10
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Description: Transfer learning for generalized factor models with support for continuous, count (Poisson), and binary data types. The package provides functions for single and multiple source transfer learning, source detection to identify positive and negative transfer sources, factor decomposition using Maximum Likelihood Estimation (MLE), and information criteria ('IC1' and 'IC2') for rank selection. The methods are particularly useful for high-dimensional data analysis where auxiliary information from related source datasets can improve estimation efficiency in the target domain.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-10 01:57:23 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 18:40:02 UTC

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New package PSRICalc with initial version 1.0.0
Package: PSRICalc
Title: Plant Stress Response Index Calculator
Version: 1.0.0
Description: Calculate Plant Stress Response Index (PSRI) from time-series germination data with optional radicle vigor integration. Built on the methodological foundation of the Osmotic Stress Response Index (OSRI) framework developed by Walne et al. (2020) <doi:10.1002/agg2.20087>. Provides clean, direct PSRI calculations suitable for agricultural research and statistical analysis. Note: This package implements methodology currently under peer review. Please contact the author before publication using this approach.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-11-10 17:43:17 UTC; feiss026
Author: Richard Feiss [aut, cre], University of Minnesota [cph]
Maintainer: Richard Feiss <feiss026@umn.edu>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:18 UTC

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Package mpathsenser updated to version 1.2.4 with previous version 1.2.3 dated 2024-03-29

Title: Process and Analyse Data from m-Path Sense
Description: Overcomes one of the major challenges in mobile (passive) sensing, namely being able to pre-process the raw data that comes from a mobile sensing app, specifically 'm-Path Sense' <https://m-path.io>. The main task of 'mpathsenser' is therefore to read 'm-Path Sense' JSON files into a database and provide several convenience functions to aid in data processing.
Author: Koen Niemeijer [aut, cre] , Kristof Meers [ctb] , KU Leuven [cph, fnd]
Maintainer: Koen Niemeijer <koen.niemeijer@kuleuven.be>

Diff between mpathsenser versions 1.2.3 dated 2024-03-29 and 1.2.4 dated 2025-11-13

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New package mccount with initial version 0.1.1
Package: mccount
Title: Estimate Recurrent Event Burden with Competing Risks
Version: 0.1.1
Description: Calculates mean cumulative count (MCC) to estimate the expected cumulative number of recurrent events per person over time in the presence of competing risks and censoring. Implements both the Dong-Yasui equation method and sum of cumulative incidence method described in Dong, et al. (2015) <doi:10.1093/aje/kwu289>. Supports inverse probability weighting for causal inference as outlined in Gaber, et al. (2023) <doi:10.1093/aje/kwad031>. Provides S3 methods for printing, summarizing, plotting, and extracting results. Handles grouped analyses and integrates with 'ggplot2' <https://ggplot2.tidyverse.org/> for visualization.
License: MIT + file LICENSE
URL: https://github.com/KennethATaylor/mccount, https://kennethataylor.github.io/mccount/
BugReports: https://github.com/KennethATaylor/mccount/issues
Depends: R (>= 4.1.0)
Imports: cards, cli, cmprsk, data.table, dplyr, glue, lifecycle, rlang, stringr, tibble, tidyr
Suggests: boot, ggplot2 (>= 3.5.0), knitr, MatchIt, mstate, optmatch, patchwork, rmarkdown, spelling, survival, testthat (>= 3.0.0), WeightIt, withr
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 14:18:54 UTC; uindy
Author: Kenneth A. Taylor [aut, cre, cph]
Maintainer: Kenneth A. Taylor <kenneth.taylor.dpt@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:02 UTC

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New package gkwdist with initial version 1.0.10
Package: gkwdist
Title: Generalized Kumaraswamy Distribution Family
Version: 1.0.10
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/gkwdist, https://evandeilton.github.io/gkwdist/
BugReports: https://github.com/evandeilton/gkwdist/issues
Encoding: UTF-8
Language: en-US
Imports: Rcpp, RcppArmadillo, magrittr, numDeriv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2025-11-10 13:32:00 UTC; jlopes
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:08 UTC

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New package epitabulate with initial version 0.1.0
Package: epitabulate
Title: Tables for Epidemiological Analysis
Version: 0.1.0
Description: Produces tables for descriptive epidemiological analysis. These tables include attack rates, case fatality ratios, and mortality rates (with appropriate confidence intervals), with additional functionality to calculate Mantel-Haenszel odds, risk, and incidence rate ratios. The methods implemented follow standard epidemiological approaches described in Rothman et al. (2008, ISBN:978-0-19-513554-2). This package is part of the 'R4EPIs' project <https://R4EPI.github.io/sitrep/>.
License: GPL-3
URL: https://R4EPI.github.io/epitabulate/, https://github.com/R4EPI/epitabulate/
BugReports: https://github.com/R4EPI/epitabulate/issues
Imports: binom, dplyr (>= 1.0.2), epikit (>= 0.1.2), forcats, glue, gtsummary, MASS, purrr, rlang (>= 0.4.0), scales, stats, tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.0.0)
Suggests: broom.helpers, cardx, covr, matchmaker (>= 0.1.0), testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 09:59:54 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Amy Gimma [aut], Kate Doyle [ctb], Applied Epi Incorporated [cph], Medecins Sans Frontieres Operational Centre Amsterdam [fnd]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-11-13 18:50:02 UTC

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New package epidict with initial version 0.1.0
Package: epidict
Title: Epidemiology Data Dictionaries and Random Data Generators
Version: 0.1.0
Description: The 'R4EPIs' project <https://r4epi.github.io/sitrep/> seeks to provide a set of standardized tools for analysis of outbreak and survey data in humanitarian aid settings. This package currently provides standardized data dictionaries from Medecins Sans Frontieres Operational Centre Amsterdam for outbreak scenarios (Acute Jaundice Syndrome, Cholera, Diphtheria, Measles, Meningitis) and surveys (Retrospective mortality and access to care, Malnutrition, Vaccination coverage and Event Based Surveillance) - as described in the following <https://scienceportal.msf.org/assets/standardised-mortality-surveys?utm_source=chatgpt.com>. In addition, a data generator from these dictionaries is provided. It is also possible to read in any Open Data Kit format data dictionary.
License: GPL-3
URL: https://github.com/R4EPI/epidict/, https://r4epi.github.io/epidict/
Imports: clipr, dplyr, readxl, rlang, stats, tibble, tidyr, utils
Suggests: covr, DT, knitr, matchmaker, rmarkdown, testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 13:13:32 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Lukas Richter [aut], Patrick Keating [aut], Annick Lenglet [ctb], Applied Epi Incorporated [cph], Medecins Sans Frontieres Operational Centre Amsterdam [fnd]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-11-13 18:50:07 UTC

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Package T4transport updated to version 0.1.5 with previous version 0.1.3 dated 2025-05-29

Title: Tools for Computational Optimal Transport
Description: Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between T4transport versions 0.1.3 dated 2025-05-29 and 0.1.5 dated 2025-11-13

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Package psc readmission to version 2.0.0 with previous version 1.3.0 dated 2025-05-29

Title: Personalised Synthetic Controls
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
Author: Richard Jackson [cre, aut, cph]
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>

This is a re-admission after prior archival of version 1.3.0 dated 2025-05-29

Diff between psc versions 1.3.0 dated 2025-05-29 and 2.0.0 dated 2025-11-13

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Package plm updated to version 2.6-7 with previous version 2.6-6 dated 2025-04-04

Title: Linear Models for Panel Data
Description: A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>).
Author: Yves Croissant [aut], Giovanni Millo [aut], Kevin Tappe [aut, cre], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Kevin Tappe <kevin.tappe@bwi.uni-stuttgart.de>

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Package lavinteract updated to version 0.3.4 with previous version 0.2.2 dated 2025-11-04

Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

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Package ggsmc readmission to version 0.2.0 with previous version 0.1.2.0 dated 2024-07-27

Title: Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods
Description: Functions for plotting, and animating, the output of importance samplers, sequential Monte Carlo samplers (SMC) and ensemble-based methods. The package can be used to plot and animate histograms, densities, scatter plots and time series, and to plot the genealogy of an SMC or ensemble-based algorithm. These functions all rely on algorithm output to be supplied in tidy format. A function is provided to transform algorithm output from matrix format (one Monte Carlo point per row) to the tidy format required by the plotting and animating functions.
Author: Richard G Everitt [aut, cre]
Maintainer: Richard G Everitt <richard.g.everitt@gmail.com>

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Package extraSuperpower readmission to version 1.6.1 with previous version 1.6.0 dated 2025-10-24

Title: Power Calculation for Two-Way Factorial Designs
Description: The basic use of this package is with 3 sequential functions. One to generate expected cell means and standard deviations, along with correlation and covariance matrices in the case of repeated measurements. This is followed by experiment simulation i number of times. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation and non-normal distributions.
Author: Louis Macias [aut, cre, cph] , Silke Szymczak [aut]
Maintainer: Louis Macias <louis.macias@uni-luebeck.de>

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

Title: Statistical Metrics and Reporting Tool
Description: A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, reports. The classical test theory methods used are described in Ebel & Frisbie (1991, ISBN:978-0132892314).
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>

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Package cookiemonster updated to version 0.0.5 with previous version 0.0.4 dated 2025-11-12

Title: Your Friendly Solution to Managing Browser Cookies
Description: A convenient tool to store and format browser cookies and use them in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').
Author: Johannes B. Gruber [aut, cre]
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Package testthat updated to version 3.3.0 with previous version 3.2.3 dated 2025-01-13

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@posit.co>

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Package gridify updated to version 0.7.5 with previous version 0.7.4 dated 2025-08-28

Title: Enrich Figures and Tables with Custom Headers and Footers and More
Description: A simple and flexible tool designed to create enriched figures and tables by providing a way to add text around them through predefined or custom layouts. Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.
Author: Maciej Nasinski [aut, cre], Alexandra Wall [aut], Sarah Robson [aut], Pritish Dash [aut], Jennifer Winick-Ng [aut], Lily Nan [ctb], Alphonse Kwizera [ctb], Agota Bodoni [ctb], Eilis Meldrum-Dolan [ctb], Gary Cao [ctb], UCB S.A., Belgium [cph, fnd]
Maintainer: Maciej Nasinski <Maciej.Nasinski@ucb.com>

Diff between gridify versions 0.7.4 dated 2025-08-28 and 0.7.5 dated 2025-11-13

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Permanent link

Package rgbif updated to version 3.8.4 with previous version 3.8.3 dated 2025-09-04

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

Diff between rgbif versions 3.8.3 dated 2025-09-04 and 3.8.4 dated 2025-11-13

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More information about rgbif at CRAN
Permanent link

Package CatPredi (with last version 1.4) was removed from CRAN

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

2025-10-30 1.4
2022-01-10 1.3

Permanent link
Package rstpm2 updated to version 1.7.1 with previous version 1.7.0 dated 2025-08-27

Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0 [...truncated...]
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Benjamin Christoffersen [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between rstpm2 versions 1.7.0 dated 2025-08-27 and 1.7.1 dated 2025-11-13

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Permanent link

Package learnr updated to version 0.11.6 with previous version 0.11.5 dated 2023-09-28

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Garrick Aden-Buie [aut, cre] , Barret Schloerke [aut] , JJ Allaire [aut, ccp], Alexander Rossell Hayes [aut] , Nischal Shrestha [ctb] , Angela Li [ctb] , Posit, PBC [cph, fnd], Ajax.org B.V. [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Payne [ctb, cph] [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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Package bioacoustics updated to version 0.2.10 with previous version 0.2.8 dated 2022-02-08

Title: Analyse Audio Recordings and Automatically Extract Animal Vocalizations
Description: Contains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as classification.
Author: Jean Marchal [aut, cre], Francois Fabianek [aut], Christopher Scott [aut], Chris Corben [ctb, cph] , David Riggs [ctb, cph] , Peter Wilson [ctb, cph] , Wildlife Acoustics, inc. [ctb, cph] , Jordan Biserkov [ctb], WavX, inc. [cph]
Maintainer: Jean Marchal <jean.marchal@wavx.ca>

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Package BayesSIM updated to version 0.1.5 with previous version 0.1.4 dated 2025-10-30

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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