Fri, 28 Aug 2026

Package wbstats updated to version 1.2 with previous version 1.1 dated 2025-09-14

Title: Programmatic Access to Data and Statistics from the World Bank API
Description: Search and download data from the World Bank Data API. Includes support for mutliple languages, access to annual, quarterly, and monthly data.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jesse Piburn [aut] , The World Bank [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between wbstats versions 1.1 dated 2025-09-14 and 1.2 dated 2026-08-28

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New package VanillaCalendar with initial version 1.0.0
Package: VanillaCalendar
Title: Interactive Calendar and Date Picker Widget
Version: 1.0.0
Description: An R interface to the 'Vanilla Calendar Pro' 'JavaScript' library (version 3.2.0, bundled) for creating interactive and customizable calendar widgets and date pickers. The package enables integration of modern calendar components in R and 'Shiny' applications, with support for date, month, year and time selection, popup input mode, theming, and in-place updates from the 'Shiny' server.
URL: https://github.com/ESCRI11/vanilla-calendar-r
BugReports: https://github.com/ESCRI11/vanilla-calendar-r/issues
License: GPL (>= 3)
Copyright: The bundled Vanilla Calendar Pro library is copyright Yury Uvarov and released under the MIT licence; see inst/htmlwidgets/lib/VanillaCalendar-3.2.0/LICENSE.
Encoding: UTF-8
Imports: htmlwidgets
Suggests: shiny, testthat (>= 3.0.0), shinytest2, chromote, htmltools, withr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 09:11:28 UTC; massagno
Author: Xavier Escriba Montagut [aut, cre], Yury Uvarov [ctb, cph]
Maintainer: Xavier Escriba Montagut <xavier.escriba.montagut@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-28 10:00:15 UTC

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Package uaparserjs updated to version 0.4.1 with previous version 0.4.0 dated 2026-07-02

Title: Parse 'User-Agent' Strings
Description: Parses HTTP user agent strings and returns user agent, device and OS information. This is a ‘V8’-backed package that uses the UA, device and OS definitions from the ‘ua-parser’ project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb], Jim Vine [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

Diff between uaparserjs versions 0.4.0 dated 2026-07-02 and 0.4.1 dated 2026-08-28

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Package TTE updated to version 1.1.2 with previous version 1.1.1 dated 2026-08-02

Title: Design and Analysis Tools for Target Trial Emulation
Description: Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

Diff between TTE versions 1.1.1 dated 2026-08-02 and 1.1.2 dated 2026-08-28

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Package MedZIsc updated to version 0.0.5 with previous version 0.0.4 dated 2025-07-16

Title: Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell Data
Description: A causal mediation framework for single-cell data that incorporates two key features ('MedZIsc', pronounced Magics): (1) zero-inflation using beta regression and (2) overdispersed expression counts using negative binomial regression. This approach also includes a screening step based on penalized and marginal models to handle high-dimensionality. Full methodological details are available in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2507.06113>.
Author: Seungjun Ahn [cre, aut] , Zhigang Li [ctb]
Maintainer: Seungjun Ahn <seungjun.ahn@mountsinai.org>

Diff between MedZIsc versions 0.0.4 dated 2025-07-16 and 0.0.5 dated 2026-08-28

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New package layeranalyzer with initial version 0.4.1
Package: layeranalyzer
Title: Time Series Analysis Tool using Linear Layered SDEs
Version: 0.4.1
Date: 2026-08-16
Encoding: UTF-8
Maintainer: Trond Reitan <trond.reitan@geo.uio.no>
Description: Time series analysis tool using linear layered stochastic differential equations. The package allows for multiple time series with correlative and/or causal links between them. Unmeasured causal processes are allowed to affect the measured processes in a layered structure, hence the name of the package. In case of causal feedback loops, the matrix operations (including eigenvalue decompositions) allows for complex numbers. In this case, cyclic behavior can be expected. Details can be found in Reitan and Liow (2019)<doi:10.1111/2041-210X.13299>.
License: LGPL-3
Suggests: knitr, rmarkdown, markdown
Depends: R (>= 2.10)
Imports: methods, stats, Rcpp, coda (>= 0.19.1)
LinkingTo: Rcpp
URL: https://folk.universitetetioslo.no/trondr/R/
LazyData: true
ByteCompile: yes
Biarch: no
NeedsCompilation: yes
Packaged: 2026-08-21 07:53:48 UTC; trondr
Author: Trond Reitan [aut, cre] , Lee Hsiang Liow [ctb] , Adam T. Kocsis [ctb]
Repository: CRAN
Date/Publication: 2026-08-28 09:50:08 UTC

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Package hockeystick updated to version 1.0.0 with previous version 0.9.1 dated 2026-07-08

Title: Download and Visualize Essential Global Heating Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, CMIP6 projections, sea levels, Arctic/Antarctic sea-ice, Hurricanes, Wildfires, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.htm [...truncated...]
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>

Diff between hockeystick versions 0.9.1 dated 2026-07-08 and 1.0.0 dated 2026-08-28

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More information about hockeystick at CRAN
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Package fntl updated to version 0.1.3.2 with previous version 0.1.3.1 dated 2026-07-30

Title: Numerical Tools for 'Rcpp' and Lambda Functions
Description: Provides a 'C++' API for routinely used numerical tools such as integration, root-finding, and optimization, where function arguments are given as lambdas. This facilitates 'Rcpp' programming, enabling the development of 'R'-like code in 'C++' where functions can be defined on the fly and use variables in the surrounding environment.
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>

Diff between fntl versions 0.1.3.1 dated 2026-07-30 and 0.1.3.2 dated 2026-08-28

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Package ebrahim.gof updated to version 2.6.0 with previous version 2.4.0 dated 2026-07-22

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test, the directed 'EDGE' test, 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), a Cauchy-combination ensemble, 'legoft()' (a pretrained combination whose weights are fixed offline and ship frozen, so two analysts obtain the same p-value), and 'shrink. [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

Diff between ebrahim.gof versions 2.4.0 dated 2026-07-22 and 2.6.0 dated 2026-08-28

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Package dobson updated to version 0.4.1 with previous version 0.4 dated 2018-11-20

Title: Data from the GLM Book by Dobson and Barnett
Description: Example datasets from the book "An Introduction to Generalised Linear Models" (4th edition) (Year: 2018, <isbn:9781138741515>) by Dobson and Barnett.
Author: Adrian Barnett [aut, cre, cph]
Maintainer: Adrian Barnett <a.barnett@qut.edu.au>

Diff between dobson versions 0.4 dated 2018-11-20 and 0.4.1 dated 2026-08-28

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New package deli with initial version 0.1.0
Package: deli
Title: M-Estimation and Empirical Sandwich Variance Estimation
Version: 0.1.0
Description: Solves estimating equations to obtain M-estimators together with empirical sandwich variance estimates, providing a general interface for both custom and built-in estimating equations. Built-in equations cover basic statistics, regression, causal inference, survival analysis, measurement error, and more. An 'R' port of the 'Python' library 'delicatessen' described in 'Zivich et al. (2022)' <doi:10.48550/arXiv.2203.11300>.
License: MIT + file LICENSE
URL: https://github.com/r-causal/deli, https://r-causal.github.io/deli/
BugReports: https://github.com/r-causal/deli/issues
Depends: R (>= 4.3)
Imports: cli, generics, rlang (>= 1.0.0), rootSolve, S7 (>= 0.2.0), stats
Suggests: causaldata, jsonlite, knitr, MASS, minpack.lm, nleqslv, nlme, quarto, readxl, rmarkdown, testthat (>= 3.0.0), yaml
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-08-21 08:13:57 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph] , Paul Zivich [ctb]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-28 09:40:02 UTC

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Package deepspat updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-25

Title: Deep Compositional Spatial Models
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using `tensorflow`, which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>, and Shao et al. (2025) <doi:10.48550/arXiv.2505.12548>.
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Maintainer: Quan Vu <quanvustats@gmail.com>

Diff between deepspat versions 0.3.1 dated 2025-11-25 and 0.3.2 dated 2026-08-28

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Package bayess readmission to version 1.7 with previous version 1.6 dated 2024-03-06

Title: Bayesian Essentials with R
Description: Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.
Author: Jean-Michel Marin [aut, cre], Christian P. Robert [aut]
Maintainer: Jean-Michel Marin <jean-michel.marin@umontpellier.fr>

This is a re-admission after prior archival of version 1.6 dated 2024-03-06

Diff between bayess versions 1.6 dated 2024-03-06 and 1.7 dated 2026-08-28

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Permanent link

Package VizTest updated to version 0.8 with previous version 0.7 dated 2026-03-03

Title: Optimal Confidence Intervals for Visual Testing
Description: Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.
Author: Dave Armstrong [aut, cre] , William Poirier [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>

Diff between VizTest versions 0.7 dated 2026-03-03 and 0.8 dated 2026-08-28

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Package Rmixmod updated to version 2.1.12 with previous version 2.1.10 dated 2023-12-13

Title: Classification with Mixture Modelling
Description: Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling <doi: 10.18637/jss.v067.i06>.
Author: Florent Langrognet [aut], Remi Lebret [aut], Christian Poli [aut], Serge Iovleff [aut], Benjamin Auder [aut], Parmeet Bhatia [ctb], Anwuli Echenim [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb], Gerard Govaert [ctb], Julien Schueller [ctb], Q [...truncated...]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

Diff between Rmixmod versions 2.1.10 dated 2023-12-13 and 2.1.12 dated 2026-08-28

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More information about Rmixmod at CRAN
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Package lares updated to version 5.4.1 with previous version 5.4.0 dated 2026-04-23

Title: Lean Analytics and Robust Exploration Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.4.0 dated 2026-04-23 and 5.4.1 dated 2026-08-28

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More information about lares at CRAN
Permanent link

Package directlabels updated to version 2026.8.27 with previous version 2026.4.23 dated 2026-04-23

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between directlabels versions 2026.4.23 dated 2026-04-23 and 2026.8.27 dated 2026-08-28

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Package cloudosR updated to version 0.2.4 with previous version 0.2.0 dated 2026-06-01

Title: 'Lifebit' Platform 'API' Client
Description: Interacts with the 'Lifebit' Platform Cohort Browser 'API' <https://cloudos.lifebit.ai>. Enables schema discovery, table exploration, and read-only 'SQL' query execution with policy-aware behavior and team-based access control for cohort data analysis. Requires bastion-enabled workspaces for 'API' access.
Author: Leila Mansouri [aut, cre]
Maintainer: Leila Mansouri <leila.mansouri@lifebit.ai>

Diff between cloudosR versions 0.2.0 dated 2026-06-01 and 0.2.4 dated 2026-08-28

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Package climniche updated to version 0.3.8 with previous version 0.0.1 dated 2026-05-29

Title: Climate Exposure Relative to a Species' Climatic Niche
Description: Quantifies projected climatic change relative to the climatic niche represented by a species' current distribution. A weighted current reference defines the niche centre and empirical radial boundary. Present and projected conditions at each location give local climatic displacement, signed change in niche distance, a derived non-radial reconfiguration term, and exceedance beyond the niche boundary. Occurrence records, range maps, and binary or continuous species distribution model outputs can define reference weights. Matrix and spatial workflows return location-level values, weighted summaries, maps and climatic-variable contributions.
Author: Bohao He [aut, cre]
Maintainer: Bohao He <bohao.he@polimi.it>

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Package WeightedROC updated to version 2026.8.27 with previous version 2020.1.31 dated 2020-02-01

Title: Fast, Weighted ROC Curves
Description: Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).
Author: Toby Dylan Hocking [cre, aut]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package tongfen updated to version 0.3.8 with previous version 0.3.7 dated 2026-06-05

Title: Make Data Based on Different Geographies Comparable
Description: Several functions to allow comparisons of data across different geographies, in particular for Canadian census data from different censuses.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package tidylda updated to version 0.1.0 with previous version 0.0.7 dated 2025-11-14

Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via 'warpLDA', a Metropolis-Hastings sampler, Chen et al. (2016) <doi:10.48550/arXiv.1510.08628>. Also implements several novel features for LDA such as guided models and transfer learning.
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

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Package stablelearner updated to version 0.1-9 with previous version 0.1-8 dated 2026-07-30

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>

Diff between stablelearner versions 0.1-8 dated 2026-07-30 and 0.1-9 dated 2026-08-28

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Package sixtyfour updated to version 0.2.4 with previous version 0.2.0 dated 2025-03-31

Title: Humane Interface to Amazon Web Services
Description: An opinionated interface to Amazon Web Services <https://aws.amazon.com>, with functions for interacting with 'IAM' (Identity and Access Management), 'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift, and Billing. Lower level functions ('aws_' prefix) are for do it yourself workflows, while higher level functions ('six_' prefix) automate common tasks.
Author: Sean Kross [aut], Scott Chamberlain [aut, cre] , Fred Hutchinson Cancer Center [fnd]
Maintainer: Scott Chamberlain <sachamber@fredhutch.org>

Diff between sixtyfour versions 0.2.0 dated 2025-03-31 and 0.2.4 dated 2026-08-28

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Package SEQTaRget updated to version 1.4.4 with previous version 1.4.3 dated 2026-06-23

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Tom Palmer [aut] , Paul Madley-Dowd [aut] , Alejandro Szmulewicz [aut] , Miguel A. Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package runExamplesWrapper updated to version 2.0 with previous version 1.1 dated 2026-01-16

Title: Wrapper for 'run_example()'
Description: Captures errors or missing examples encountered when iteratively running 'run_examplez()', and archives them.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

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Package rquest updated to version 1.1.0 with previous version 1.0.5 dated 2025-06-11

Title: Hypothesis Tests for Quantiles and Quantile-Based Measures
Description: Functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.
Author: Shenal Dedduwakumara [aut, cre], Luke Prendergast [aut], Robert Staudte [aut]
Maintainer: Shenal Dedduwakumara <shenal.dedduwakumara@adelaide.edu.au>

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Package randomForestRHF updated to version 2.0.0 with previous version 1.0.1 dated 2026-04-28

Title: Random Hazard Forests
Description: Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package proporz updated to version 1.5.3 with previous version 1.5.2 dated 2025-10-10

Title: Proportional Apportionment
Description: Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.
Author: Flavio Poletti [aut, cre, cph]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package pagedown updated to version 0.25 with previous version 0.24 dated 2026-04-09

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] , Romain Lesur [aut, cph] , Christophe Dervieux [ctb] , Brent Thorne [aut] , Xianying Tan [aut] , Atsushi Yasumoto [ctb] , Posit Software, PBC [cph, fnd], Adam Hyde [ctb] , Min-Zhong Lu [ctb] , Zulko [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package IBclust updated to version 1.5 with previous version 1.4 dated 2026-07-14

Title: Information Bottleneck Methods for Clustering Mixed-Type Data
Description: Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables. The package provides deterministic, agglomerative, generalised, sequential, and standard IB clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2026) <doi:10.1016/j.patcog.2026.113580>. The standard IB method originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, the generalised IB from Strouse and Schwab (2017) <doi:10.1162/NECO_a_00961>, and the sequential IB from Slonim et al. (2002) <doi:10.1145/564376.564401>. Diagnostic and plotting functions are provided to summarise, visualise, and predict from the resulting clusteri [...truncated...]
Author: Angelos Markos [aut, cre], Efthymios Costa [aut], Ioanna Papatsouma [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

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Package forestly updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-12

Title: Interactive Forest Plot
Description: Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.
Author: Yilong Zhang [aut], Benjamin Wang [aut], Yujie Zhao [aut, cre], Nan Xiao [ctb], Hiroaki Fukuda [aut], Yulia Sidi [ctb], Xuan Deng [ctb], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Madhusudhan Ginnaram [ctb], Merck & Co., Inc., Rahway, NJ, [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package fdm2id updated to version 1.0.0 with previous version 0.9.9 dated 2023-06-12

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansche [aut, cre]
Maintainer: Alexandre Blansche <alexandre.blansche@univ-lorraine.fr>

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Package dosr updated to version 0.3.6 with previous version 0.3.4 dated 2026-07-06

Title: Survey Analysis Tools for the Chilean Social Observatory
Description: Provides high-level functions to compute estimates (means, proportions, totals, ratios and quantiles) for complex survey designs, with automatic classification of statistical reliability, between-year significance tests and standardised report generation in 'Excel' format (via 'openxlsx'). It was developed for the Social Observatory ('Observatorio Social') of the Chilean Ministry of Social Development and implements its data-quality criteria, but it can be applied to any complex-survey design (for example the Chilean 'CASEN' household survey, included as example data). The reliability criteria follow Division Observatorio Social (2023) <https://bidat.gob.cl/details/ficha/dato/manual-para-la-investigacion-casen-2022> and Instituto Nacional de Estadisticas (2020) <https://www.ine.gob.cl/inicio/documentos-de-trabajo/documento/fundamentos-del-est%C3%A1ndar-para-la-evaluaci%C3%B3n-de-la-calidad-de-las-estimaciones-en-encuestas-de-hogares>; complex-survey estimation methods follo [...truncated...]
Author: Gabriel Sotomayor [aut, cre]
Maintainer: Gabriel Sotomayor <gabrielsotomayorl@gmail.com>

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Package conStruct updated to version 1.0.7 with previous version 1.0.6 dated 2024-01-08

Title: Models Spatially Continuous and Discrete Population Genetic Structure
Description: A method for modeling genetic data as a combination of discrete layers, within each of which relatedness may decay continuously with geographic distance. This package contains code for running analyses (which are implemented in the modeling language 'rstan') and visualizing and interpreting output. See the paper for more details on the model and its utility.
Author: Gideon Bradburd [aut, cre]
Maintainer: Gideon Bradburd <bradburd@umich.edu>

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Package chessResults updated to version 2026.08.27 with previous version 2026.07.05 dated 2026-07-11

Title: Scraper for Chess-Results.com
Description: Scrape data from <https://chess-results.com> and get a clean 'tibble'. Currently supports tournament information, starting rank, playing schedule, pairings/results for rounds, and closing rank.
Author: Sirf Haru [aut, cre, cph]
Maintainer: Sirf Haru <sirfharu@proton.me>

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Package cataScience updated to version 2.1.3 with previous version 2.1.2 dated 2026-07-30

Title: Interactive Training App for Data Science and AI Skills
Description: An interactive 'shiny' training companion for people who are new to data, developed for World Health Organization data trainings. Bundles hands-on modules for importing data, missing values, outliers, text cleaning, merging, visualization, and basic statistics, plus a set of AI-skills pages (prompting levels, a prompt gallery, AI safety rules, and a methodology case study) and an interactive quiz with per-session topic filters. Launch the app with run_cata().
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

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Package bootsurv updated to version 0.1.0 with previous version 0.0.1 dated 2024-05-17

Title: Bootstrap Methods for Complete Survey Data
Description: Bootstrap resampling methods have been widely studied in the context of survey data. This package implements various bootstrap resampling techniques tailored for survey data, with a focus on stratified simple random sampling and stratified two-stage cluster sampling. It provides tools for precise and consistent bootstrap variance estimation for population totals, means, and quartiles. Additionally, it enables easy generation of bootstrap samples for in-depth analysis.
Author: Zeinab Mashreghi [aut, cre]
Maintainer: Zeinab Mashreghi <z.mashreghi@uwinnipeg.ca>

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Package awsMethods updated to version 1.1-2 with previous version 1.1-1 dated 2019-05-08

Title: Class and Methods Definitions for Packages 'aws', 'adimpro', 'fmri', 'dwi'
Description: Defines the method extract and provides 'openMP' support as needed in several packages.
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>

Diff between awsMethods versions 1.1-1 dated 2019-05-08 and 1.1-2 dated 2026-08-28

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