Mon, 07 Sep 2026

New package RcppTrust with initial version 0.1.0
Package: RcppTrust
Title: Thread-Safe C++ Port of the 'trust' Trust Region Optimizer
Version: 0.1.0
Description: Does local optimization using two derivatives and trust regions. Guaranteed to converge to a local minimum of the objective function. This is a thread-safe C++ port of the algorithm in the 'trust' package by Charles J. Geyer, exposed both as a drop-in R function and as a C-callable, thread-safe entry point (with function pointers registered for other packages to call without linking against this package's shared library) so it can be used from parallel C++ code such as in 'nlmixr2est'.
License: MIT + file LICENSE
URL: https://github.com/nlmixr2/RcppTrust/, https://nlmixr2.github.io/RcppTrust/, http://www.stat.umn.edu/geyer/trust/
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat (>= 3.0.0), stats, knitr, rmarkdown, trust, microbenchmark
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-25 13:26:50 UTC; matt-fidler
Author: Charles J. Geyer [aut] , Matthew Fidler [aut, cre]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-07 12:20:02 UTC

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New package CompositionalZADR with initial version 1.0
Package: CompositionalZADR
Title: Compositional Data Analysis with the Zero Adjusted Dirichlet Distribution
Version: 1.0
Date: 2026-08-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, graphics, grDevices, Rfast, stats
Suggests: Rfast2
Description: Regression, discriminant analysis, maximum likelihood estimation, random values generation, and contour plots of the zero adjusted Dirichlet distribution. The relevant paper is Tsagris M. and Stewart C. (2018). "A Dirichlet regression model for compositional data with zeros". Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-25 06:39:57 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-09-07 11:20:02 UTC

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New package icio with initial version 1.0.0
Package: icio
Version: 1.0.0
Title: Global Value Chain Decomposition of Inter-Country Input-Output Tables
Description: Four global value chain (GVC) decompositions of gross exports from inter-country input-output tables are implemented. The Leontief decomposition derives the value added origin of exports by country and industry, as in Hummels, Ishii and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>. The Koopman, Wang and Wei (2014) <doi:10.1257/aer.104.2.459> decomposition splits country-level exports into 9 value added components, and the Wang, Wei and Zhu (2013) <doi:10.3386/w19677> decomposition splits bilateral exports into 16 value added components. The Borin and Mancini (2019) <doi:10.1596/1813-9450-8804> decomposition splits country-, sector- or bilateral-level exports into up to 13 value added and GVC components, and also provides a corrected version of the (biased) Koopman-Wang-Wei decomposition. It is the recommended method and reproduces the 'icio' command for 'Stata' described in Belotti, Borin and Mancini (2021) <doi:10.1177/1536867X211045573>.
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Depends: R (>= 3.5.0)
Imports: data.table, matrixStats
License: GPL-3
URL: https://sebkrantz.github.io/icio/, https://github.com/SebKrantz/icio
BugReports: https://github.com/SebKrantz/icio/issues
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-05 20:50:35 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre] , Bastiaan Quast [aut] , Fei Wang [aut], Victor Stolzenburg [aut], Oliver Reiter [ctb]
Repository: CRAN
Date/Publication: 2026-09-07 10:20:02 UTC

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Package suppr updated to version 1.0.1 with previous version 1.0.0 dated 2026-09-05

Title: Supplementary Idiomatic Utilities and Extensions
Description: Miscellaneous supplementary functions designed to follow idiomatic 'R' conventions. Some functions are simple wrappers that reduce repetitive code, while others address common tasks or extend existing 'R' functions.
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>

Diff between suppr versions 1.0.0 dated 2026-09-05 and 1.0.1 dated 2026-09-07

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Package lambdaTS updated to version 2.0.0 with previous version 1.1 dated 2022-02-20

Title: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis
Description: Probabilistic multivariate time series forecasting using a variational sequence-to-sequence model with Lambda-style temporal aggregation. Provides transformations, uncertainty estimates, diagnostics, and publication-ready plots.
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package evalHTE updated to version 0.2.0 with previous version 0.1.1 dated 2026-02-03

Title: Evaluating Heterogeneous Treatment Effects
Description: Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.
Author: Michael Lingzhi Li [aut, cre], Kosuke Imai [aut], Jialu Li [ctb]
Maintainer: Michael Lingzhi Li <mili@hbs.edu>

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Package CDSS updated to version 1.0-0 with previous version 0.3-1 dated 2026-04-27

Title: Course-Dependent Skill Structures
Description: Deriving skill structures from skill assignment data for courses (sets of learning objects).
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package bvars updated to version 1.1 with previous version 1.0 dated 2026-06-08

Title: Bayesian Forecasting with Large Vector Autoregressions
Description: Provides fast and efficient procedures for Bayesian estimation and forecasting using state-of-the-art Vector Autoregressions. This package includes the model proposed by Shang, Wang, Woźniak (2026) <doi:10.48550/arXiv.2608.28087> and Chan (2020) <doi:10.1080/07350015.2018.1451336>, that is, a Bayesian Vector Autoregression with Minnesota priors and a flexible structure of the error term specification. The latter includes: conditional multivariate normal or Student’s t distributions, as well as homoskedastic or heteroskedastic specifications with a common volatility modelled by centred or non-centred Stochastic Volatility. Additionally, the package facilitates predictive analyses using density forecasting and forecast-error variance decompositions. All this is complemented by simple workflows, useful plots and summary functions, and comprehensive documentation. The 'bvars' package aligns with R packages 'bsvars' by Woźniak (2026) <doi:10.32614/CRAN.package.bsvars>, 'bs [...truncated...]
Author: Rui Liu [aut] , Andres Ramirez Hassan [aut] , Tomasz Wozniak [aut, cre] , Fei Shang [ctb] , introduced major code corrections and improvements), Xiaolei Wang [ctb] )
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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Package BiMaUmisc updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-04

Title: BiMaU Miscellaneous
Description: Contains a function to plot publication-ready survival curves using the Kaplan-Meier method (1958) <doi:10.2307/2281868>, a function to format p-values, and a function to automatically select statistical tests for comparing continuous variables between groups, which are useful for repetitive analyses. BiMaU stands for the Biostatistics and Mathematics Research Unit at the Sant Joan de Déu - Pediatric Cancer Center Barcelona <https://github.com/BiMaU-PCCB>.
Author: Anna Felip-Badia [aut, cre] , Aleix Martin-Moral [aut] , Sara Perez-Jaume [aut]
Maintainer: Anna Felip-Badia <annafelipibadia@gmail.com>

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Package spooky updated to version 2.0.0 with previous version 1.4.0 dated 2022-08-13

Title: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling
Description: Proposes application of spectral analysis and jack-knife resampling for multivariate sequence forecasting using only base R functionality.
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package weird updated to version 3.1.0 with previous version 3.0.0 dated 2026-07-06

Title: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Description: All functions and data sets required for the examples in the book Hyndman (2026) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.
Author: Rob Hyndman [aut, cre, cph] , Torben Tvedebrink [ctb], Posit Software, PBC [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package S3VS updated to version 1.1 with previous version 1.0 dated 2026-01-13

Title: Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models
Description: Performs variable selection using the structured screen-and-select (S3VS) framework in linear models, generalized linear models with binary data, and survival models such as the Cox model and accelerated failure time (AFT) model.
Author: Nilotpal Sanyal [aut, cre], Padmore N. Prempeh [aut]
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>

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Package rmsBMA updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-14

Title: Reduced Model Space Bayesian Model Averaging
Description: Implements Bayesian model averaging for settings with many candidate regressors relative to the available sample size, including cases where the number of regressors exceeds the number of observations. By restricting attention to models with at most M regressors, the package supports reduced model space inference, thereby preserving degrees of freedom for estimation. It provides posterior summaries, Extreme Bounds Analysis, model selection procedures, joint inclusion measures, and graphical tools for exploring model probabilities, model size distributions, and coefficient distributions. When the model space is too large to enumerate, it can be explored by Markov chain Monte Carlo model composition instead. The methodological approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046> and Madigan and York (1995) <doi:10.2307/1403615>.
Author: Krzysztof Beck [aut, cre]
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>

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Package Rborist updated to version 0.3-12 with previous version 0.3-11 dated 2025-02-02

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman [aut, cre]
Maintainer: Mark Seligman <mseligman@suiji.org>

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Package pairwiseLLM updated to version 1.3.1 with previous version 1.1.0 dated 2025-12-22

Title: Pairwise Comparison Tools for Large Language Model-Based Writing Evaluation
Description: Provides a unified framework for generating, submitting, and analyzing pairwise comparisons of writing quality using large language models (LLMs). The package supports live and/or batch evaluation workflows across multiple providers ('OpenAI', 'Anthropic', 'Google Gemini', 'Together AI', and locally-hosted 'Ollama' models), includes bias-tested prompt templates and a flexible template registry, and offers tools for constructing forward and reversed comparison sets to analyze consistency and positional bias. The package additionally supports adaptive pairing workflows that iteratively select comparisons based on model uncertainty to improve ranking efficiency. Results can be modeled using frequentist or Bayesian Bradley–Terry–Luce models (Bradley & Terry, 1952 <doi:10.2307/2334029>; see also Caron & Doucet, 2012 <doi:10.1080/10618600.2012.638220>) or Elo rating methods (see Clark et al., 2018 <doi:10.1371/journal.pone.0190393>) to derive writing quality scores. [...truncated...]
Author: Sterett H. Mercer [aut, cre, cph]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>

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More information about pairwiseLLM at CRAN
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Package healthbR updated to version 0.4.0 with previous version 0.2.0 dated 2026-02-15

Title: Access Brazilian Public Health Data
Description: Provides easy access to Brazilian public health data from multiple sources including VIGITEL (Surveillance of Risk Factors for Chronic Diseases by Telephone Survey), PNS (National Health Survey), 'PNAD' Continua (Continuous National Household Sample Survey), 'POF' (Household Budget Survey with food security and consumption data), 'Censo Demografico' (population denominators via 'SIDRA' API), SIM (Mortality Information System), SINASC (Live Birth Information System), 'SIH' (Hospital Information System), 'SIA' (Outpatient Information System), 'SINAN' (Notifiable Diseases Surveillance), 'CNES' (National Health Facility Registry), 'SI-PNI' (National Immunization Program - aggregated 1994-2019 via FTP, individual-level 'microdata' 2020+ via 'OpenDataSUS' API), 'SISAB' (Primary Care Health Information System - coverage indicators via REST API), ANS ('Agencia Nacional de Saude Suplementar' - supplementary health beneficiaries, consumer complaints, and financial statements), 'ANVISA' ('Agencia [...truncated...]
Author: Sidney Bissoli [aut, cre]
Maintainer: Sidney Bissoli <sbissoli76@gmail.com>

Diff between healthbR versions 0.2.0 dated 2026-02-15 and 0.4.0 dated 2026-09-07

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Package HaploVar updated to version 0.1.2 with previous version 0.1.1 dated 2025-07-21

Title: Defining Local Haplotype Variants for Use in Trait Association and Trait Prediction Analyses
Description: A local haplotyping tool for use in trait association and trait prediction analyses pipelines. 'HaploVar' enables users take single nucleotide polymorphisms (SNPs) (in VCF format) and a linkage disequilibrium (LD) matrix, calculate local haplotypes and format the output to be compatible with a wide range of trait association and trait prediction tools. The local haplotypes are calculated from the LD matrix using a clustering algorithm called density-based spatial clustering of applications with noise (DBSCAN) (Ester et al., 1996) <ISBN: 1577350049>.
Author: Tessa MacNish [aut, cre] , Hawlader Al-Mamun [ctb], Thomas Bergmann [ctb], Mitchell Bestry [ctb], Jacob Marsh [ctb], David Edwards [ctb]
Maintainer: Tessa MacNish <tessamacnish@gmail.com>

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Package hdf5r updated to version 1.3.15 with previous version 1.3.12 dated 2025-01-20

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/documentation/hdf5/latest/_r_m.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package ggbiplot updated to version 0.6.5 with previous version 0.6.2 dated 2024-01-08

Title: A Grammar of Graphics Implementation of Biplots
Description: A 'ggplot2' based implementation of biplots, giving a representation of a dataset in a two dimensional space accounting for the greatest variance, together with variable vectors showing how the data variables relate to this space. It provides a replacement for stats::biplot(), but with many enhancements to control the analysis and graphical display. It implements biplot and scree plot methods which can be used with the results of prcomp(), princomp(), FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and can be customized using 'ggplot2' techniques.
Author: Vincent Q. Vu [aut] , Michael Friendly [aut, cre] , Aghasi Tavadyan [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package evalITR updated to version 1.1.0 with previous version 1.0.0 dated 2023-08-25

Title: Evaluating Individualized Treatment Rules
Description: Provides various statistical methods for evaluating Individualized Treatment Rules under randomized data. The provided metrics include Population Average Value (PAV), Population Average Prescription Effect (PAPE), Area Under Prescription Effect Curve (AUPEC). It also provides the tools to analyze Individualized Treatment Rules under budget constraints. Detailed reference in Imai and Li (2023) <doi:10.1080/01621459.2021.1923511>.
Author: Michael Lingzhi Li [aut, cre], Kosuke Imai [aut], Jialu Li [ctb], Xiaolong Yang [ctb]
Maintainer: Michael Lingzhi Li <mili@hbs.edu>

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Package emulator updated to version 1.3-0 with previous version 1.2-24 dated 2024-03-22

Title: Bayesian Emulation of Computer Programs
Description: Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. The package includes functionality to evaluate quadratic forms efficiently.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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