Thu, 24 Jul 2025

Package stablelearner updated to version 0.1-6 with previous version 0.1-5 dated 2023-04-13

Title: Stability Assessment of Statistical Learning Methods
Description: Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
Author: Michel Philipp [aut], Carolin Strobl [aut], Achim Zeileis [aut, cre] , Thomas Rusch [aut], Kurt Hornik [aut] , Lennart Schneider [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package microplot updated to version 1.0-47 with previous version 1.0-45 dated 2022-01-26

Title: Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'
Description: The microplot function writes a set of R graphics files to be used as microplots (sparklines) in tables in either 'LaTeX', 'HTML', 'Word', or 'Excel' files. For 'LaTeX', we provide methods for the Hmisc::latex() generic function to construct 'latex' tabular environments which include the graphs. These can be used directly with the operating system 'pdflatex' or 'latex' command, or by using one of 'Sweave', 'knitr', 'rmarkdown', or 'Emacs org-mode' as an intermediary. For 'MS Word', the msWord() function uses the 'flextable' package to construct 'Word' tables which include the graphs. There are several distinct approaches for constructing HTML files. The simplest is to use the msWord() function with argument filetype="html". Alternatively, use either 'Emacs org-mode' or the htmlTable::htmlTable() function to construct an 'HTML' file containing tables which include the graphs. See the documentation for our as.htmlimg() function. For 'Excel' use on 'Windows', the file examples/iri [...truncated...]
Author: Richard M. Heiberger [aut, cre] , Karen Byron [ctb], Nooreen Dabbish [ctb]
Maintainer: Richard M. Heiberger <rmh@temple.edu>

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Package DataExplorer updated to version 0.8.4 with previous version 0.8.3 dated 2024-01-23

Title: Automate Data Exploration and Treatment
Description: Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui@gmail.com>

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Package rice updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-13

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

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Package reglogit updated to version 1.2-8 with previous version 1.2-7 dated 2023-04-25

Title: Simulation-Based Regularized Logistic Regression
Description: Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes with varying efficiency depending on the data type (binary v. binomial, say) and the desired estimator (regularized maximum likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified interface. For details, see Gramacy & Polson (2012 <doi:10.1214/12-BA719>).
Author: Robert B. Gramacy [cre, aut]
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package nlmixr2est updated to version 4.0.2 with previous version 4.0.1 dated 2025-07-19

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package maths.genealogy updated to version 0.1.4 with previous version 0.1.3 dated 2025-07-07

Title: Mathematics PhD Genealogy Data and Plotting
Description: Query, extract, and plot genealogical data from The Mathematics Genealogy Project <https://mathgenealogy.org/>. Data is gathered from the 'WebSocket' server run by the 'geneagrapher-core' project <https://github.com/davidalber/geneagrapher-core>.
Author: Louis Aslett [aut, cre]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>

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Package gridSVG updated to version 1.7-6 with previous version 1.7-5 dated 2023-03-09

Title: Export 'grid' Graphics as SVG
Description: Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
Author: Paul Murrell [cre, aut], Simon Potter [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package flightsbr readmission to version 1.1.1 with previous version 1.1.0 dated 2025-05-19

Title: Download Flight and Airport Data from Brazil
Description: Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC) <https://www.gov.br/anac/pt-br>. The data covers detailed information on aircraft, airports, and airport operations registered with ANAC. It also includes data on airfares, all international flights to and from Brazil, and domestic flights within the country.
Author: Rafael H. M. Pereira [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

This is a re-admission after prior archival of version 1.1.0 dated 2025-05-19

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Package ellmer updated to version 0.3.0 with previous version 0.2.1 dated 2025-06-03

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Garrick Aden-Buie [aut] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package renv updated to version 1.1.5 with previous version 1.1.4 dated 2025-03-20

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.1.4 dated 2025-03-20 and 1.1.5 dated 2025-07-24

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Package vcdExtra updated to version 0.8-6 with previous version 0.8-5 dated 2023-08-21

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

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Package sklarsomega updated to version 3.0-3 with previous version 3.0-2 dated 2023-04-04

Title: Measuring Agreement Using Sklar's Omega Coefficient
Description: Provides tools for applying Sklar's Omega (Hughes, 2022) <doi:10.1007/s11222-022-10105-2> methodology to nominal scores, ordinal scores, percentages, counts, amounts (i.e., non-negative real numbers), and balances (i.e., any real number). The framework can accommodate any number of units, any number of coders, and missingness; and can be used to measure agreement with a gold standard, intra-coder agreement, and/or inter-coder agreement. Frequentist inference is supported for all levels of measurement. Bayesian inference is supported for continuous scores only.
Author: John Hughes [aut, cre]
Maintainer: John Hughes <drjphughesjr@gmail.com>

Diff between sklarsomega versions 3.0-2 dated 2023-04-04 and 3.0-3 dated 2025-07-24

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Package rtoot updated to version 0.3.6 with previous version 0.3.5 dated 2024-10-30

Title: Collecting and Analyzing Mastodon Data
Description: An implementation of calls designed to collect and organize Mastodon data via its Application Program Interfaces (API), which can be found at the following URL: <https://docs.joinmastodon.org/>.
Author: David Schoch [aut, cre] , Chung-hong Chan [aut] , Johannes Gruber [ctb] , Tim Schatto-Eckrodt [ctb] , Lluis Revilla Sancho [aut]
Maintainer: David Schoch <david@schochastics.net>

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Package ICSClust updated to version 0.1.1 with previous version 0.1.0 dated 2023-09-21

Title: Tandem Clustering with Invariant Coordinate Selection
Description: Implementation of tandem clustering with invariant coordinate selection with different scatter matrices and several choices for the selection of components as described in Alfons, A., Archimbaud, A., Nordhausen, K.and Ruiz-Gazen, A. (2024) <doi:10.1016/j.ecosta.2024.03.002>.
Author: Aurore Archimbaud [aut, cre] , Andreas Alfons [aut] , Klaus Nordhausen [aut] , Anne Ruiz-Gazen [aut]
Maintainer: Aurore Archimbaud <aurore.archimbaud@live.fr>

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Package scimo updated to version 0.0.3 with previous version 0.0.2 dated 2024-06-07

Title: Extra Recipes Steps for Dealing with Omics Data
Description: Omics data (e.g. transcriptomics, proteomics, metagenomics...) offer a detailed and multi-dimensional perspective on the molecular components and interactions within complex biological (eco)systems. Analyzing these data requires adapted procedures, which are implemented as steps according to the 'recipes' package.
Author: Antoine BICHAT [aut, cre] , Julie AUBERT [ctb]
Maintainer: Antoine BICHAT <antoine.bichat@proton.me>

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Package kernscr updated to version 1.0.7 with previous version 1.0.6 dated 2023-04-17

Title: Kernel Machine Score Test for Semi-Competing Risks
Description: Kernel Machine Score Test for Pathway Analysis in the Presence of Semi-Competing Risks. Method is detailed in: Neykov, Hejblum & Sinnott (2018) <doi: 10.1177/0962280216653427>.
Author: Matey Neykov [aut], Boris P Hejblum [aut, cre], Jennifer A Sinnot [aut]
Maintainer: Boris P Hejblum <boris.hejblum@u-bordeaux.fr>

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Package etl updated to version 0.4.2 with previous version 0.4.1 dated 2023-10-12

Title: Extract-Transform-Load Framework for Medium Data
Description: A predictable and pipeable framework for performing ETL (extract-transform-load) operations on publicly-accessible medium-sized data set. This package sets up the method structure and implements generic functions. Packages that depend on this package download specific data sets from the Internet, clean them up, and import them into a local or remote relational database management system.
Author: Benjamin S. Baumer [aut, cre] , Carson Sievert [ctb], Natalia Iannucci [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package cytometree updated to version 2.0.6 with previous version 2.0.2 dated 2019-12-04

Title: Automated Cytometry Gating and Annotation
Description: Given the hypothesis of a bi-modal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bi-modal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.
Author: Chariff Alkhassim [aut], Boris P Hejblum [cre, aut], Anthony Devaux [aut], Van Hung Huynh Tran [aut], Melany Durand [aut]
Maintainer: Boris P Hejblum <boris.hejblum@u-bordeaux.fr>

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Package tidycensus updated to version 1.7.3 with previous version 1.7.1 dated 2025-01-31

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package pleLMA updated to version 0.2.2 with previous version 0.2.1 dated 2021-10-05

Title: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models
Description: Log-multiplicative association models (LMA) are models for cross-classifications of categorical variables where interactions are represented by products of category scale values and an association parameter. Maximum likelihood estimation (MLE) fails for moderate to large numbers of categorical variables. The 'pleLMA' package overcomes this limitation of MLE by using pseudo-likelihood estimation to fit the models to small or large cross-classifications dichotomous or multi-category variables. Originally proposed by Besag (1974, <doi:10.1111/j.2517-6161.1974.tb00999.x>), pseudo-likelihood estimation takes large complex models and breaks it down into smaller ones. Rather than maximizing the likelihood of the joint distribution of all the variables, a pseudo-likelihood function, which is the product likelihoods from conditional distributions, is maximized. LMA models can be derived from a number of different frameworks including (but not limited to) graphical models and uni-dimension [...truncated...]
Author: Carolyn J. Anderson [aut, cre]
Maintainer: Carolyn J. Anderson <cja@illinois.edu>

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Package tmaptools updated to version 3.3 with previous version 3.2 dated 2025-01-13

Title: Thematic Map Tools
Description: Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

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Package secsse updated to version 3.5.0 with previous version 3.1.0 dated 2024-04-30

Title: Several Examined and Concealed States-Dependent Speciation and Extinction
Description: Simultaneously infers state-dependent diversification across two or more states of a single or multiple traits while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. (2019) <doi:10.1093/sysbio/syy057>.
Author: Leonel Herrera Alsina [aut] , Paul van Els [aut] , Thijs Janzen [ctb] , Hanno Hildenbrandt [ctb] , Pedro Santos Neves [ctb] , Rampal S. Etienne [cre, aut]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

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Package locits updated to version 1.7.8 with previous version 1.7.7 dated 2023-09-05

Title: Test of Stationarity and Localized Autocovariance
Description: Provides test of second-order stationarity for time series (for dyadic and arbitrary-n length data). Provides localized autocovariance, with confidence intervals, for locally stationary (nonstationary) time series. See Nason, G P (2013) "A test for second-order stationarity and approximate confidence intervals for localized autocovariance for locally stationary time series." Journal of the Royal Statistical Society, Series B, 75, 879-904. <doi:10.1111/rssb.12015>.
Author: Guy Nason [aut, cre]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>

Diff between locits versions 1.7.7 dated 2023-09-05 and 1.7.8 dated 2025-07-24

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Package birdie updated to version 0.7.1 with previous version 0.6.1 dated 2024-06-11

Title: Bayesian Instrumental Regression for Disparity Estimation
Description: Bayesian models for accurately estimating conditional distributions by race, using Bayesian Improved Surname Geocoding (BISG) probability estimates of individual race. Implements the methods described in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.
Author: Cory McCartan [aut, cre], Kosuke Imai [ctb], Daniel Ho [ctb], Jacob Goldin [ctb], Robin Fisher [ctb], The Stan Development Team [cph]
Maintainer: Cory McCartan <mccartan@psu.edu>

Diff between birdie versions 0.6.1 dated 2024-06-11 and 0.7.1 dated 2025-07-24

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Package scregclust updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-06

Title: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Description: Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
Author: Felix Held [aut, cre] , Ida Larsson [aut] , Sven Nelander [aut] , Andre Armatowski [ctb]
Maintainer: Felix Held <felix.held@gmail.com>

Diff between scregclust versions 0.2.0 dated 2024-12-06 and 0.2.1 dated 2025-07-24

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Package parallelly updated to version 1.45.1 with previous version 1.45.0 dated 2025-06-02

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

Diff between parallelly versions 1.45.0 dated 2025-06-02 and 1.45.1 dated 2025-07-24

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Package modeltests updated to version 0.1.7 with previous version 0.1.6 dated 2024-05-03

Title: Testing Infrastructure for Broom Model Generics
Description: Provides a number of testthat tests that can be used to verify that tidy(), glance() and augment() methods meet consistent specifications. This allows methods for the same generic to be spread across multiple packages, since all of those packages can make the same guarantees to users about returned objects.
Author: Alex Hayes [aut, cre] , Simon Couch [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between modeltests versions 0.1.6 dated 2024-05-03 and 0.1.7 dated 2025-07-24

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Package ludic updated to version 0.2.1 with previous version 0.2.0 dated 2021-08-18

Title: Linkage Using Diagnosis Codes
Description: Probabilistic record linkage without direct identifiers using only diagnosis codes. Method is detailed in: Hejblum, Weber, Liao, Palmer, Churchill, Szolovits, Murphy, Kohane & Cai (2019) <doi: 10.1038/sdata.2018.298> ; Zhang, Hejblum, Weber, Palmer, Churchill, Szolovits, Murphy, Liao, Kohane & Cai (2021) <doi: 10.1093/jamia/ocab187>.
Author: Boris P Hejblum [aut, cre], Harrison G Zhang [aut], Tianxi Cai [aut]
Maintainer: Boris P Hejblum <boris.hejblum@u-bordeaux.fr>

Diff between ludic versions 0.2.0 dated 2021-08-18 and 0.2.1 dated 2025-07-24

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Package genieclust updated to version 1.2.0 with previous version 1.1.6 dated 2024-08-22

Title: Fast and Robust Hierarchical Clustering with Noise Point Detection
Description: The Genie algorithm (Gagolewski, 2021 <DOI:10.1016/j.softx.2021.100722>) is a robust and outlier-resistant hierarchical clustering method (Gagolewski, Bartoszuk, Cena, 2016 <DOI:10.1016/j.ins.2016.05.003>). This package features its faster and more powerful version. It allows clustering with respect to mutual reachability distances, enabling it to act as a noise point detector or a version of 'HDBSCAN*' that can identify a predefined number of clusters. The package also features an implementation of the Gini and Bonferroni inequality indices, external cluster validity measures (e.g., the normalised clustering accuracy, the adjusted Rand index, the Fowlkes-Mallows index, and normalised mutual information), and internal cluster validity indices (e.g., the Calinski-Harabasz, Davies-Bouldin, Ball-Hall, Silhouette, and generalised Dunn indices). The 'Python' version of 'genieclust' is available via 'PyPI'.
Author: Marek Gagolewski [aut, cre, cph] , Maciej Bartoszuk [ctb], Anna Cena [ctb], Peter M. Larsen [ctb]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between genieclust versions 1.1.6 dated 2024-08-22 and 1.2.0 dated 2025-07-24

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Package fastRG updated to version 0.3.3 with previous version 0.3.2 dated 2023-08-21

Title: Sample Generalized Random Dot Product Graphs in Linear Time
Description: Samples generalized random product graphs, a generalization of a broad class of network models. Given matrices X, S, and Y with with non-negative entries, samples a matrix with expectation X S Y^T and independent Poisson or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017) <https://www.jmlr.org/papers/v19/17-128.html>. The algorithm first samples the number of edges and then puts them down one-by-one. As a result it is O(m) where m is the number of edges, a dramatic improvement over element-wise algorithms that which require O(n^2) operations to sample a random graph, where n is the number of nodes.
Author: Alex Hayes [aut, cre, cph] , Karl Rohe [aut, cph], Jun Tao [aut], Xintian Han [aut], Norbert Binkiewicz [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between fastRG versions 0.3.2 dated 2023-08-21 and 0.3.3 dated 2025-07-24

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Package bmm updated to version 1.2.0 with previous version 1.0.1 dated 2024-05-27

Title: Easy and Accessible Bayesian Measurement Models Using 'brms'
Description: Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.
Author: Vencislav Popov [aut, cre, cph] , Gidon T. Frischkorn [aut, cph] , Chenyu Li [ctb], Paul-Christian Buerkner [cph]
Maintainer: Vencislav Popov <vencislav.popov@gmail.com>

Diff between bmm versions 1.0.1 dated 2024-05-27 and 1.2.0 dated 2025-07-24

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Package blockmodeling updated to version 1.1.7 with previous version 1.1.5 dated 2023-08-23

Title: Generalized and Classical Blockmodeling of Valued Networks
Description: This is primarily meant as an implementation of generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted: Žiberna (2007)<doi:10.1016/j.socnet.2006.04.002>, Žiberna (2008)<doi:10.1080/00222500701790207>, Žiberna (2014)<doi:10.1016/j.socnet.2014.04.002>.
Author: Ales Ziberna [aut, cre], Marjan Cugmas [ctb]
Maintainer: Ales Ziberna <ales.ziberna@gmail.com>

Diff between blockmodeling versions 1.1.5 dated 2023-08-23 and 1.1.7 dated 2025-07-24

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Package betapart updated to version 1.6.1 with previous version 1.6 dated 2023-03-13

Title: Partitioning Beta Diversity into Turnover and Nestedness Components
Description: Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Author: Andres Baselga [aut, cre], David Orme [aut], Sebastien Villeger [aut], Julien De Bortoli [aut], Fabien Leprieur [aut], Maxime Logez [aut], Sara Martinez-Santalla [aut], Ramiro Martin-Devasa [aut], Carola Gomez-Rodriguez [aut], Rosa M. Crujeiras [aut] [...truncated...]
Maintainer: Andres Baselga <andres.baselga@usc.es>

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Package vivainsights updated to version 0.7.0 with previous version 0.6.2 dated 2025-05-28

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

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More information about vivainsights at CRAN
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Package tensr updated to version 1.0.2 with previous version 1.0.1 dated 2018-08-15

Title: Covariance Inference and Decompositions for Tensor Datasets
Description: A collection of functions for Kronecker structured covariance estimation and testing under the array normal model. For estimation, maximum likelihood and Bayesian equivariant estimation procedures are implemented. For testing, a likelihood ratio testing procedure is available. This package also contains additional functions for manipulating and decomposing tensor data sets. This work was partially supported by NSF grant DMS-1505136. Details of the methods are described in Gerard and Hoff (2015) <doi:10.1016/j.jmva.2015.01.020> and Gerard and Hoff (2016) <doi:10.1016/j.laa.2016.04.033>.
Author: David Gerard [aut, cre] , Peter Hoff [aut]
Maintainer: David Gerard <gerard.1787@gmail.com>

Diff between tensr versions 1.0.1 dated 2018-08-15 and 1.0.2 dated 2025-07-24

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Package rxode2 updated to version 4.0.3 with previous version 4.0.2 dated 2025-07-21

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

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Permanent link

Package Publish updated to version 2025.07.24 with previous version 2023.01.17 dated 2023-01-17

Title: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description: A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
Author: Thomas A. Gerds [aut, cre], Christian Torp-Pedersen [ctb], Klaus K Holst [ctb], Brice Ozenne [aut]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package pec updated to version 2025.06.24 with previous version 2023.04.12 dated 2023-04-11

Title: Prediction Error Curves for Risk Prediction Models in Survival Analysis
Description: Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation. Most of the 'pec' functionality has been moved to 'riskRegression'.
Author: Thomas A. Gerds [aut, cre]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package parfm updated to version 2.7.8 with previous version 2.7.7 dated 2023-01-17

Title: Parametric Frailty Models
Description: Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
Author: Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer: Federico Rotolo <federico.rotolo@sanofi.com>

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Package mvSLOUCH updated to version 2.7.7 with previous version 2.7.6 dated 2023-11-20

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F. Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005> and K. Bartoszek, and J. Tredgett Clarke, J. Fuentes-Gonzalez, V. Mitov, J. Pienaar, M. Piwczynski, R. Puchalka, K. Spalik, K. L. Voje (2024) <doi:10.1111/2041-210X.14376>. The suggested PCMBaseCpp package (which significantly speeds up the likelihood calculations) can be obtained from <https://github.com/venelin/PCMBaseCpp/>.
Author: Krzysztof Bartoszek [cre, aut], John Clarke [ctb], Jesualdo Fuentes-Gonzalez [ctb], Jason Pienaar [ctb]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package kmBlock updated to version 0.1.4 with previous version 0.1.2 dated 2023-09-18

Title: k-Means Like Blockmodeling of One-Mode and Linked Networks
Description: Implements k-means like blockmodeling of one-mode and linked networks as presented in Žiberna (2020) <doi:10.1016/j.socnet.2019.10.006>. The development of this package is financially supported by the Slovenian Research Agency (<https://www.arrs.si/>) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).
Author: Ales Ziberna [aut, cre]
Maintainer: Ales Ziberna <ales.ziberna@fdv.uni-lj.si>

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Package JDCruncheR updated to version 0.3.6 with previous version 0.3.5 dated 2025-04-15

Title: Interface Between the 'JDemetra+' Cruncher and R, and Quality Report Generator
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package fastml updated to version 0.6.2 with previous version 0.6.0 dated 2025-06-10

Title: Fast Machine Learning Model Training and Evaluation
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package EMgaussian updated to version 0.2.2 with previous version 0.2.1 dated 2024-03-04

Title: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data
Description: Initially designed to distribute code for estimating the Gaussian graphical model with Lasso regularization, also known as the graphical lasso (glasso), using an Expectation-Maximization (EM) algorithm based on work by Städler and Bühlmann (2012) <doi:10.1007/s11222-010-9219-7>. As a byproduct, code for estimating means and covariances (or the precision matrix) under a multivariate normal (Gaussian) distribution is also available.
Author: Carl F. Falk [cre, aut]
Maintainer: Carl F. Falk <carl.falk@mcgill.ca>

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Package arrow updated to version 21.0.0 with previous version 20.0.0.2 dated 2025-05-26

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

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Package apex updated to version 1.0.7 with previous version 1.0.6 dated 2024-01-31

Title: Phylogenetic Methods for Multiple Gene Data
Description: Toolkit for the analysis of multiple gene data (Jombart et al. 2017) <doi:10.1111/1755-0998.12567>. 'apex' implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Author: Klaus Schliep [aut, cre] , Thibaut Jombart [aut], Zhian Namir Kamvar [aut], Eric Archer [aut], Rebecca Harris [aut]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

Diff between apex versions 1.0.6 dated 2024-01-31 and 1.0.7 dated 2025-07-24

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Package Andromeda updated to version 1.1.0 with previous version 1.0.0 dated 2025-05-07

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut], Egill Fridgeirsson [aut], Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between Andromeda versions 1.0.0 dated 2025-05-07 and 1.1.0 dated 2025-07-24

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Package valdr updated to version 1.0.1 with previous version 1.0.0 dated 2025-07-19

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

Diff between valdr versions 1.0.0 dated 2025-07-19 and 1.0.1 dated 2025-07-24

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Package SmoothHazard updated to version 2025.07.24 with previous version 2024.04.10 dated 2024-04-10

Title: Estimation of Smooth Hazard Models for Interval-Censored Data
Description: Estimation of two-state (survival) models and irreversible illness- death models with possibly interval-censored, left-truncated and right-censored data. Proportional intensities regression models can be specified to allow for covariates effects separately for each transition. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates of the hazard functions. Parameter estimates are obtained by maximum likelihood in the parametric approach and by penalized maximum likelihood in the semi-parametric approach.
Author: Celia Touraine [aut], Thomas Alexander Gerds [aut, cre], Pierre Joly [aut] , Cecile Proust-Lima [aut] , Helene Jacqmin-Gadda [aut] , Amadou Diakite [aut] , W.D. Cody [aut] , A.H. Morris [aut] , B.W. Brown [aut] , Robin Genuer [ctb]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between SmoothHazard versions 2024.04.10 dated 2024-04-10 and 2025.07.24 dated 2025-07-24

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Package parzer readmission to version 0.4.4 with previous version 0.4.3 dated 2025-05-29

Title: Parse Messy Geographic Coordinates
Description: Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut] , Alban Sagouis [aut, cre] , Alec L. Robitaille [ctb] , Maelle Salmon [ctb] , Hiroaki Yutani [ctb], Jeffrey Bogan [ctb] , Julien Brun [rev] , Maria Munafo [rev] , rOpenSci [fnd] , German Centre for Integrative Biodiversity Res [...truncated...]
Maintainer: Alban Sagouis <sagouis@pm.me>

This is a re-admission after prior archival of version 0.4.3 dated 2025-05-29

Diff between parzer versions 0.4.3 dated 2025-05-29 and 0.4.4 dated 2025-07-24

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Package funcMapper updated to version 1.0.1 with previous version 1.0.0 dated 2025-07-22

Title: Map User-Created Functions
Description: Create an interactive function map by analyzing a specified R script. It uses the find_dependencies() function from the 'functiondepends' package to recursively trace all user-defined function dependencies.
Author: Antonio Fratamico [aut, cre]
Maintainer: Antonio Fratamico <fratamicoa@outlook.com>

Diff between funcMapper versions 1.0.0 dated 2025-07-22 and 1.0.1 dated 2025-07-24

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Package extraSuperpower updated to version 1.5.2 with previous version 1.5.0 dated 2025-07-15

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>

Diff between extraSuperpower versions 1.5.0 dated 2025-07-15 and 1.5.2 dated 2025-07-24

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Package contsurvplot updated to version 0.2.2 with previous version 0.2.1 dated 2023-08-15

Title: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Description: Graphically display the (causal) effect of a continuous variable on a time-to-event outcome using multiple different types of plots based on g-computation. Those functions include, among others, survival area plots, survival contour plots, survival quantile plots and 3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally. For details, see Robin Denz, Nina Timmesfeld (2023) <doi:10.1097/EDE.0000000000001630>.
Author: Robin Denz [aut, cre]
Maintainer: Robin Denz <robin.denz@rub.de>

Diff between contsurvplot versions 0.2.1 dated 2023-08-15 and 0.2.2 dated 2025-07-24

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Package AnalyzeFMRI readmission to version 1.1-25 with previous version 1.1-24 dated 2021-10-05

Title: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or 'NIFTI' Format
Description: Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or 'NIFTI' format. Note that the latest version of 'XQuartz' seems to be necessary under MacOS.
Author: Pierre Lafaye De Micheaux [aut, cre], Jonathan L Marchini [aut], Cleve Moler [cph] , Jack Dongarra [cph] , Richard Hanson [cph] , Sven Hammarling [cph] , Jeremy Du Croz [cph]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

This is a re-admission after prior archival of version 1.1-24 dated 2021-10-05

Diff between AnalyzeFMRI versions 1.1-24 dated 2021-10-05 and 1.1-25 dated 2025-07-24

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New package vacalibration with initial version 2.0
Package: vacalibration
Title: Calibration of Computer-Coded Verbal Autopsy Algorithm
Version: 2.0
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>
Description: Calibrates cause-specific mortality fractions (CSMF) estimates generated by computer-coded verbal autopsy (CCVA) algorithms from WHO-standardized verbal autopsy (VA) survey data. It leverages data from the multi-country Child Health and Mortality Prevention Surveillance (CHAMPS) project <https://champshealth.org/>, which determines gold standard causes of death via Minimally Invasive Tissue Sampling (MITS). By modeling the CHAMPS data using the misclassification matrix modeling framework proposed in Pramanik et al. (2025, <doi:10.1214/24-AOAS2006>), the package includes an inventory of 48 uncertainty-quantified misclassification matrices for three CCVA algorithms (EAVA, InSilicoVA, InterVA), two age groups (neonates aged 0-27 days and children aged 1-59 months), and eight "countries" (seven countries in CHAMPS -- Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, South Africa -- and an estimate for countries not in CHAMPS). Given a VA-only data for an age group, C [...truncated...]
License: GPL-2
Encoding: UTF-8
Imports: rstan, ggplot2, loo, patchwork, reshape2
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-23 01:14:51 UTC; sandipanpramanik
Author: Sandipan Pramanik [aut, cre] , Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut]
Repository: CRAN
Date/Publication: 2025-07-24 12:50:02 UTC

More information about vacalibration at CRAN
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Package robustbetareg updated to version 0.3.1 with previous version 0.3.0 dated 2022-10-28

Title: Robust Beta Regression
Description: Robust estimators for the beta regression, useful for modeling bounded continuous data. Currently, four types of robust estimators are supported. They depend on a tuning constant which may be fixed or selected by a data-driven algorithm also implemented in the package. Diagnostic tools associated with the fitted model, such as the residuals and goodness-of-fit statistics, are implemented. Robust Wald-type tests are available. More details about robust beta regression are described in Maluf et al. (2025) <doi:10.1007/s00184-024-00949-1>.
Author: Felipe Queiroz [aut, cre], Yuri Maluf [aut], Silvia Ferrari [ctb]
Maintainer: Felipe Queiroz <ffelipeq@outlook.com>

Diff between robustbetareg versions 0.3.0 dated 2022-10-28 and 0.3.1 dated 2025-07-24

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Package keyholder updated to version 0.1.8 with previous version 0.1.7 dated 2023-03-11

Title: Store Data About Rows
Description: Tools for keeping track of information, named "keys", about rows of data frame like objects. This is done by creating special attribute "keys" which is updated after every change in rows (subsetting, ordering, etc.). This package is designed to work tightly with 'dplyr' package.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

Diff between keyholder versions 0.1.7 dated 2023-03-11 and 0.1.8 dated 2025-07-24

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New package ggdmcPrior with initial version 0.2.9.0
Package: ggdmcPrior
Title: Prior Probability Functions of the Standard and Truncated Distribution
Version: 0.2.9.0
Date: 2025-07-23
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides tools for specifying and evaluating standard and truncated probability distributions, with support for log-space computation and joint distribution specification. It enables Bayesian computation for cognition models and includes utilities for density calculation, sampling, and visualisation, facilitating prior distribution specification and model assessment in hierarchical Bayesian frameworks.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.7), methods, lattice
Depends: R (>= 3.5.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat, ggdmcModel
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-23 02:04:46 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-24 13:00:02 UTC

More information about ggdmcPrior at CRAN
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Package ggarchery updated to version 0.4.4 with previous version 0.4.3 dated 2024-03-28

Title: Flexible Segment Geoms with Arrows for 'ggplot2'
Description: Geoms for placing arrowheads at multiple points along a segment, not just at the end; position function to shift starts and ends of arrows to avoid exactly intersecting points.
Author: Matthew Hall [aut, cre]
Maintainer: Matthew Hall <matthew.hall@lshtm.ac.uk>

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Package DTAT updated to version 0.3-8 with previous version 0.3-7 dated 2024-05-24

Title: Dose Titration Algorithm Tuning
Description: Dose Titration Algorithm Tuning (DTAT) is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017a) <doi:10.12688/f1000research.10624.3> and Norris (2017c) <doi:10.1101/240846>.
Author: David C. Norris [aut, cre]
Maintainer: David C. Norris <david@precisionmethods.guru>

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New package APRScenario with initial version 0.0.3.0
Package: APRScenario
Title: Structural Scenario Analysis for Bayesian Structural Vector Autoregression Models
Version: 0.0.3.0
Author: Giovanni Lombardo [aut, cre]
Maintainer: Giovanni Lombardo <giannilmbd@gmail.com>
Description: Implements the scenario analysis proposed by Antolin-Diaz, Petrella and Rubio-Ramirez (2021) "Structural scenario analysis with SVARs" <doi:10.1016/j.jmoneco.2020.06.001>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, lubridate, parallel, MASS, tidyr, abind, psych, Rcpp (>= 1.0.12), RcppProgress
Suggests: bsvars, bsvarSIGNs, devtools, ggfortify, gridExtra, zoo, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
SystemRequirements: LAPACK
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-23 09:00:32 UTC; gianni
Repository: CRAN
Date/Publication: 2025-07-24 13:00:07 UTC

More information about APRScenario at CRAN
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Package seminr updated to version 2.3.6 with previous version 2.3.4 dated 2024-10-13

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package rpact updated to version 4.2.1 with previous version 4.2.0 dated 2025-03-24

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut] , Friedrich Pahlke [aut, cre] , Till Jensen [ctb], Daniel Sabanes Bove [ctb] , Stephen Schueuerhuis [ctb] , Tobias Muetze [ctb]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package PWIR updated to version 0.0.3.1 with previous version 0.0.3 dated 2023-10-20

Title: Provides a Function to Calculate Prize Winner Indices Based on Bibliometric Data
Description: A function 'PWI()' that calculates prize winner indices based on bibliometric data is provided. The default is the 'Derek de Solla Price Memorial Medal'. Users can provide recipients of other prizes.
Author: Robin Haunschild [aut, cre]
Maintainer: Robin Haunschild <R.Haunschild@fkf.mpg.de>

Diff between PWIR versions 0.0.3 dated 2023-10-20 and 0.0.3.1 dated 2025-07-24

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Package coconots updated to version 2.0.1 with previous version 2.0.0 dated 2025-03-22

Title: Convolution-Closed Models for Count Time Series
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modelled via Poisson and Generalized Poisson innovations. Regression effects can be incorporated through time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x> and, Tsay (1992) <doi:10.2307/2347612>.
Author: Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>

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Package CITAN updated to version 2025.7.1 with previous version 2022.1.1 dated 2022-03-21

Title: CITation ANalysis Toolpack
Description: Supports quantitative research in scientometrics and bibliometrics. Provides various tools for preprocessing bibliographic data retrieved, e.g., from Elsevier's Scopus, computing bibliometric impact of individuals, or modelling phenomena encountered in the social sciences. This package is deprecated; see 'agop' instead.
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package soilhypfit updated to version 0.1-8 with previous version 0.1-7 dated 2022-08-31

Title: Modelling of Soil Water Retention and Hydraulic Conductivity Data
Description: Provides functions for efficiently estimating properties of the Van Genuchten-Mualem model for soil hydraulic parameters from possibly sparse soil water retention and hydraulic conductivity data by multi-response parameter estimation methods (Stewart, W.E., Caracotsios, M. Soerensen, J.P. (1992) "Parameter estimation from multi-response data" <doi:10.1002/aic.690380502>). Parameter estimation is simplified by exploiting the fact that residual and saturated water contents and saturated conductivity are conditionally linear parameters (Bates, D. M. and Watts, D. G. (1988) "Nonlinear Regression Analysis and Its Applications" <doi:10.1002/9780470316757>). Estimated parameters are optionally constrained by the evaporation characteristic length (Lehmann, P., Bickel, S., Wei, Z. and Or, D. (2020) "Physical Constraints for Improved Soil Hydraulic Parameter Estimation by Pedotransfer Functions" <doi:10.1029/2019WR025963>) to ensure that the estimated parameters are physically [...truncated...]
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

Diff between soilhypfit versions 0.1-7 dated 2022-08-31 and 0.1-8 dated 2025-07-24

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Package ICGE updated to version 0.4.3 with previous version 0.4.2 dated 2022-10-17

Title: Estimation of Number of Clusters and Identification of Atypical Units
Description: It is a package that helps to estimate the number of real clusters in data as well as to identify atypical units. The underlying methods are based on distances rather than on unit x variables.
Author: Itziar Irigoien [aut, cre], Concepcion Arenas [aut]
Maintainer: Itziar Irigoien <itziar.irigoien@ehu.eus>

Diff between ICGE versions 0.4.2 dated 2022-10-17 and 0.4.3 dated 2025-07-24

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Package ggfx updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-22

Title: Pixel Filters for 'ggplot2' and 'grid'
Description: Provides a range of filters that can be applied to layers from the 'ggplot2' package and its extensions, along with other graphic elements such as guides and theme elements. The filters are applied at render time and thus uses the exact pixel dimensions needed.
Author: Thomas Lin Pedersen [aut, cre] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package FastCUB updated to version 0.0.4 with previous version 0.0.3 dated 2024-03-08

Title: Fast Estimation of CUB Models via Louis' Identity
Description: For ordinal rating data, consider the accelerated EM algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection is then implemented since it becomes more feasible from the computational point of view.
Author: Rosaria Simone [aut, cre]
Maintainer: Rosaria Simone <rosaria.simone@unina.it>

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Package BuyseTest updated to version 3.3.3 with previous version 3.3.1 dated 2025-07-07

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better/worse/equivalently than a random observation drawn from the other group. Summary statistics such as the net treatment benefit, win ratio, or win odds are then deduced from these probabilities. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] , Eva Cantagallo [aut], William Anderson [aut], Julien Peron [ctb], Johan Verbeeck [ctb]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

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Package biogeom updated to version 1.4.4 with previous version 1.4.3 dated 2024-03-29

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. [...truncated...]
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package tidyMC updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-11

Title: Monte Carlo Simulations Made Easy and Tidy
Description: Framework to run Monte Carlo simulations over a parameter grid. Allows to parallelize the simulations. Generates plots and 'LaTeX' tables summarizing the results from the simulation.
Author: Stefan Linner [aut, cre, cph], Ignacio Moreira Lara [aut], Konstantin Lehmann [aut]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>

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Package spatstat.linnet updated to version 3.3-1 with previous version 3.2-6 dated 2025-05-22

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package sensobol updated to version 1.1.6 with previous version 1.1.5 dated 2024-02-21

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package mlr3oml updated to version 0.10.1 with previous version 0.10.0 dated 2024-06-04

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface with more upload options, see the 'OpenML' package.
Author: Michel Lang [aut] , Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package mcmcensemble updated to version 3.2.0 with previous version 3.1.0 dated 2024-03-20

Title: Ensemble Sampler for Affine-Invariant MCMC
Description: Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain, which allow a faster convergence for badly scaled estimation problems. Two samplers are proposed: the 'differential.evolution' sampler from ter Braak and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.
Author: Hugo Gruson [cre, aut, cph] , Sanda Dejanic [aut, cph], Andreas Scheidegger [aut, cph]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package mcboost updated to version 0.4.4 with previous version 0.4.3 dated 2024-04-12

Title: Multi-Calibration Boosting
Description: Implements 'Multi-Calibration Boosting' (2018) <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and 'Multi-Accuracy Boosting' (2019) <doi:10.48550/arXiv.1805.12317> for the multi-calibration of a machine learning model's prediction. 'MCBoost' updates predictions for sub-groups in an iterative fashion in order to mitigate biases like poor calibration or large accuracy differences across subgroups. Multi-Calibration works best in scenarios where the underlying data & labels are unbiased, but resulting models are. This is often the case, e.g. when an algorithm fits a majority population while ignoring or under-fitting minority populations.
Author: Florian Pfisterer [aut] , Susanne Dandl [ctb] , Christoph Kern [ctb] , Carolin Becker [ctb], Bernd Bischl [ctb] , Sebastian Fischer [ctb, cre]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package GECal updated to version 0.1.7 with previous version 0.1.5 dated 2024-09-25

Title: Generalized Entropy Calibration
Description: Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. 'GECal' incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.
Author: Yonghyun Kwon [aut, cre] , Jae Kwang Kim [aut] , Yumou Qiu [aut]
Maintainer: Yonghyun Kwon <yhkwon@kma.ac.kr>

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Package DSMolgenisArmadillo updated to version 3.0.0 with previous version 2.0.9 dated 2024-07-09

Title: 'DataSHIELD' Client for 'MOLGENIS Armadillo'
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation to analyze data shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight 'DataSHIELD' server using a file store and an 'RServe' server.
Author: Mariska Slofstra [aut, cre] , Sido Haakma [aut] , Tommy de Boer [aut] , Fleur Kelpin [aut] , MOLGENIS org [cph, fnd]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>

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Package sapfluxnetr updated to version 0.1.5 with previous version 0.1.4 dated 2023-01-25

Title: Working with 'Sapfluxnet' Project Data
Description: Access, modify, aggregate and plot data from the 'Sapfluxnet' project, the first global database of sap flow measurements.
Author: Victor Granda [aut, cre] , Rafael Poyatos [aut] , Victor Flo [aut] , Jacob Nelson [ctb] , Sapfluxnet Core Team [cph]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package mecoturn updated to version 0.3.1 with previous version 0.3.0 dated 2023-09-10

Title: Decipher Microbial Turnover along a Gradient
Description: Two pipelines are provided to study microbial turnover along a gradient, including the beta diversity and microbial abundance change. The 'betaturn' class consists of the steps of community dissimilarity matrix generation, matrix conversion, differential test and visualization. The workflow of 'taxaturn' class includes the taxonomic abundance calculation, abundance transformation, abundance change summary, statistical analysis and visualization. Multiple statistical approaches can contribute to the analysis of microbial turnover.
Author: Chi Liu [aut, cre], Xiangzhen Li [ctb], Minjie Yao [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package simsalapar updated to version 1.0-13 with previous version 1.0-12 dated 2023-04-27

Title: Tools for Simulation Studies in Parallel
Description: Tools for setting up ("design"), conducting, and evaluating large-scale simulation studies with graphics and tables, including parallel computations.
Author: Marius Hofert [aut, cre] , Martin Maechler [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package ggpolypath updated to version 0.4.0 with previous version 0.3.0 dated 2023-09-25

Title: Polygons with Holes for the Grammar of Graphics
Description: Tools for working with polygons with holes in 'ggplot2', with a new 'geom' for drawing a 'polypath' applying the 'evenodd' or 'winding' rules.
Author: Michael D. Sumner [aut, cre], Kohske Takahashi [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package epiR updated to version 2.0.85 with previous version 2.0.84 dated 2025-05-26

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package graphTweets (with last version 0.5.3) was removed from CRAN

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

2020-01-08 0.5.3
2019-07-10 0.5.2
2019-02-14 0.5.1
2018-08-25 0.5.0
2018-08-07 0.4.3
2018-07-15 0.4.2
2018-07-08 0.4.1
2018-03-31 0.4.0
2016-05-08 0.3.2
2016-03-29 0.3.1
2016-03-11 0.3
2016-02-26 0.2

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Package lmtp updated to version 1.5.3 with previous version 1.5.2 dated 2025-06-13

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes. Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi; <doi:10.1007/s10985-023-09606-7>).
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph] , Beaudan Campbell-Brown [ctb]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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Package incase updated to version 0.4.0 with previous version 0.3.2 dated 2023-08-21

Title: Pipe-Friendly Vector Replacement with Case Statements
Description: Offers a pipe-friendly alternative to the 'dplyr' functions case_when() and if_else(), as well as a number of user-friendly simplifications for common use cases. These functions accept a vector as an optional first argument, allowing conditional statements to be built using the 'magrittr' dot operator. The functions also coerce all outputs to the same type, meaning you no longer have to worry about using specific typed variants of NA or explicitly declaring integer outputs, and evaluate outputs somewhat lazily, so you don't waste time on long operations that won't be used.
Author: Alexander Rossell Hayes [aut, cre, cph] , Patrice Kiener [ctb] , ORCID: <https://orcid.org/0000-0002-0505-9920>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package DLMRMV updated to version 1.0.0 with previous version 0.2.0 dated 2025-06-24

Title: Distributed Linear Regression Models with Response Missing Variables
Description: As a distributed imputation strategy, the Distributed full information Multiple Imputation method is developed to impute missing response variables in distributed linear regression. The philosophy of the package is described in 'Guo' (2025) <doi:10.1038/s41598-025-93333-6>.
Author: Guangbao Guo [aut, cre] , Limin Song [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package cheese updated to version 0.1.3 with previous version 0.1.2 dated 2023-01-06

Title: Tools for Working with Data During Statistical Analysis
Description: Contains tools for working with data during statistical analysis, promoting flexible, intuitive, and reproducible workflows. There are functions designated for specific statistical tasks such building a custom univariate descriptive table, computing pairwise association statistics, etc. These are built on a collection of data manipulation tools designed for general use that are motivated by the functional programming concept.
Author: Alex Zajichek [aut, cre]
Maintainer: Alex Zajichek <alexzajichek@gmail.com>

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