Mon, 09 Nov 2026

Package mapnhanespa updated to version 0.4.0 with previous version 0.3.0 dated 2026-10-22

Title: Map Quantiles for Physical Activity from 'NHANES'
Description: Maps physical activity from the National Health and Nutrition Examination Survey ('NHANES') study into population-based quantiles, using the NHANES 2011-2014 step count and physical activity summaries described in Koffman, Crainiceanu, and Muschelli (2025) <doi:10.1249/MSS.0000000000003616>, with minute-level data from Koffman and Muschelli (2025) <doi:10.13026/9n0r-tv02>.
Author: John Muschelli [aut, cre] , Lily Koffman [aut]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package froggeR updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-17

Title: Project Scaffolding for R and 'Quarto'
Description: Creates structured R and 'Quarto' projects with a consistent directory layout: scripts in R/, analysis documents in analysis/, and web assets in www/. The primary entry point, init(), downloads the latest template from a companion 'GitHub' repository so that project structure evolves independently of package releases. Supports persistent author metadata and 'Quarto' brand configuration that carry across projects automatically.
Author: Kyle Grealis [aut, cre]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

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Package zentraR updated to version 0.1.4 with previous version 0.1.3 dated 2026-08-07

Title: R Client for the ZENTRA Cloud V5 API
Description: Downloads environmental sensor data from the ZENTRA Cloud V5 API (<https://api.zentracloud.io>) into tidy data frames. Provides device discovery, reading retrieval with automatic pagination and rate-limit handling, tidy long output with a wide-format helper, and an incremental 'sync' engine with pluggable local storage (RDS files, CSV files, or return-only) so that new readings can be fetched on a schedule and appended to a growing local record.
Author: Travis Bates [aut, cre], METER Group, Inc. [cph, fnd]
Maintainer: Travis Bates <travis@metergroup.com>

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Package sociome updated to version 3.1.1 with previous version 3.0.1 dated 2026-06-03

Title: Operationalizing Social Determinants of Health Data for Researchers
Description: Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.
Author: Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd] . All of its contents are solely the responsibility of the authors and do not necessarily represent t [...truncated...]
Maintainer: Nik Krieger <nikkrieger@gmail.com>

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Package relm updated to version 0.6.3 with previous version 0.6.2 dated 2026-11-02

Title: Local Large Language Models as Base-R Objects
Description: Load and run local large language models (through a vendored, patched 'llama.cpp') from R and work with them as plain data frames and matrices in base-R idiom. Provides model loading and tokenization (llm(), llm_tokens()), text generation (llm_generate()), next-token distributions (llm_logits()), embeddings (llm_embed()), and mechanistic interpretability tools -- activation tracing (llm_trace()), activation steering (llm_steer()), neuron ablation (llm_ablate()), and grouped statistical probes (llm_probe()). Vision-language models loaded with their projector take image input in generation and embeddings. A checksum-verified downloader (llm_download()) fetches pinned models.
Author: Alessandro Vadala [aut, cre, cph], ggml authors [ctb, cph] ), Authors of the bundled Rust and native dependencies [ctb, cph]
Maintainer: Alessandro Vadala <vadale93@gmail.com>

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Package ravecore updated to version 1.0.0 with previous version 0.1.1 dated 2026-04-02

Title: Core File Structures and Workflows for 'RAVE'
Description: Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in 'RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from 'Matlab' data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and 'FreeSurfer' formats, providing brain imaging normalization to template brain, facilitating 'threeBrain' package for comprehensive electrode localization via 'YAEL' (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).
Author: Zhengjia Wang [aut, cre] , Xiang Zhang [aut], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package mop updated to version 0.1.5 with previous version 0.1.4 dated 2026-04-22

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation as in Cobos et al. (2024) <doi:10.21425/fob.17.132916>.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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Package missknn updated to version 1.2.0 with previous version 1.1.2 dated 2026-08-21

Title: Fast Masked K-Nearest Neighbor Imputation
Description: Fast masked k-nearest neighbor imputation for mixed-type tabular data. Distances are computed only on the variables jointly observed by the receiver and the donor, and missing values are filled by local regression (numeric) or weighted vote (categorical) over the nearest donors. Returns completed data for single imputation or a list of completed data sets for multiple imputation.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package forestBalance updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-07

Title: Balancing Confounder Distributions with Forest Energy Balancing
Description: Estimates average treatment effects using kernel energy balancing with random forest similarity kernels. A multivariate random forest jointly models covariates, outcome, and treatment to build a similarity kernel between observations. This kernel is then used for energy balancing to create weights that control for confounding. The method is described in De and Huling (2025) <doi:10.48550/arXiv.2512.18069>.
Author: Jared Huling [aut, cre], Simion De [aut]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package sobolnp updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-29

Title: Nonparametric Sobol Estimator with Bootstrap Bandwidth
Description: Algorithm to estimate the Sobol indices using a non-parametric fit of the regression curve. The bandwidth is estimated using bootstrap to reduce the finite-sample bias. The package is based on the paper SolĂ­s, M. (2021) <doi:10.1080/03610918.2019.1655575>.
Author: Maikol Solis [aut, cre]
Maintainer: Maikol Solis <maikol.solis@ucr.ac.cr>

Diff between sobolnp versions 0.1.0 dated 2019-04-29 and 0.2.0 dated 2026-11-09

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Package r4lineups updated to version 2.3.1 with previous version 2.3.0 dated 2026-11-02

Title: Statistical Inference on Lineup Fairness
Description: Computes statistical measures for laboratory and police lineups in forensic psychology, including lineup bias, functional and effective size, diagnosticity, confidence-accuracy curves, signal detection models, and simulation tools. Optional face-similarity functions use numeric face representations computed by Python's 'deepface' library; optional lineup-memory model fitting uses a separately installed, pinned 'pyWitness' engine.
Author: Colin Tredoux [aut, cre] , Tamsyn Naylor [aut]
Maintainer: Colin Tredoux <colin.tredoux@uct.ac.za>

Diff between r4lineups versions 2.3.0 dated 2026-11-02 and 2.3.1 dated 2026-11-09

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Package ASML updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-29

Title: Algorithm Portfolio Selection with Machine Learning
Description: A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).
Author: Brais Gonzalez-Rodriguez [aut, cre] , Ignacio Gomez-Casares [aut] , Beatriz Pateiro-Lopez [aut] , Julio Gonzalez-Diaz [aut] , Maria Caseiro-Arias [ctb], Antonio Farina-Elorza [ctb], Manuel Timiraos-Lopez [ctb], MICIU/AEI/10.13039/501100011033 [fnd]
Maintainer: Brais Gonzalez-Rodriguez <brais.gonzalez.rodriguez@uvigo.gal>

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Package nadaverse updated to version 0.2.0 with previous version 0.1.0 dated 2025-12-11

Title: Browse Microdata Catalogs Using 'NADA' REST API
Description: Provides a unified, programmatic interface for searching, browsing, and retrieving metadata from data repositories that use the National Data Archive ('NADA') software, such as the World Bank, 'FAO', the International Household Survey Network ('IHSN'), 'UNHCR', the World Health Organization, and the statistics offices of Kenya and Zambia. Functions discover available data collections, country codes, and access types, search by keyword, country, and year, and retrieve study metadata, file lists, and variable-level data dictionaries.
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>

Diff between nadaverse versions 0.1.0 dated 2025-12-11 and 0.2.0 dated 2026-11-09

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Package LaMa updated to version 3.1.0 with previous version 3.0.0 dated 2026-10-28

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package GGally updated to version 2.5.0 with previous version 2.4.0 dated 2025-08-23

Title: Extension to 'ggplot2'
Description: The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.
Author: Barret Schloerke [aut, cre] , Di Cook [aut, ths] , Joseph Larmarange [aut] , Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths] , Hadley Wickham [ths]
Maintainer: Barret Schloerke <schloerke@gmail.com>

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Package fitdistrBayes updated to version 0.8.0 with previous version 0.6.0 dated 2026-10-19

Title: Objective Bayesian Distribution Fitting and AFT Regression
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. A separate interface fits independently right-censored observations using the registered complete-data priors, observed-data likelihood sampling or data augmentation, with sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO, and DIC for observed-data likelihoods. Formula-based accelerated failure time regression is available for nine lifetime families with complete or right-censored dat [...truncated...]
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

Diff between fitdistrBayes versions 0.6.0 dated 2026-10-19 and 0.8.0 dated 2026-11-09

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Package interactions updated to version 1.3.0 with previous version 1.2.0 dated 2024-07-29

Title: Comprehensive, User-Friendly Toolkit for Probing Interactions
Description: A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <jacob.long@sc.edu>

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Package causaldef updated to version 0.3.0 with previous version 0.2.1 dated 2026-08-23

Title: Decision-Theoretic Causal Diagnostics via Experiment Deficiency
Description: Implements a deficiency-theoretic framework for causal inference, grounded in the classical theory of statistical experiment comparison, as described in Akdemir (2026) <doi:10.5281/zenodo.18367346>. Provides theorem-backed bounds together with computable proxy diagnostics for information loss from confounding, selection bias, and distributional shift. Supports continuous, binary, count, survival, and competing risks outcomes. Key features include propensity-score total-variation deficiency proxies, negative control diagnostics, policy regret bounds, and sensitivity analysis via confounding frontiers.
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

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Package vrpr updated to version 0.2.3 with previous version 0.2.2 dated 2026-10-06

Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package tester updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-22

Title: Tests and Checks Characteristics of R Objects
Description: Allows users to test characteristics of common R objects.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package plsRcox updated to version 1.8.3 with previous version 1.8.2 dated 2026-03-24

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package onls updated to version 0.3 with previous version 0.2 dated 2026-09-21

Title: Orthogonal Nonlinear Least-Squares Regression
Description: Fits n-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization, with a solver that exploits the block structure of the problem as 'ODRPACK' does, so that its cost grows linearly with the number of observations, and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package birp updated to version 0.9.2 with previous version 0.9.1 dated 2026-11-02

Title: Testing for Population Trends Using Low-Cost Ecological Count Data
Description: A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Madleina Caduff [aut], Andreas Fueglistaler [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb], Conrad Sanderson [cph] , Ryan Curtin [cph] , Daniel Lemire [cph] , Joao Paulo Magalhaes [cph] , Rene Brun [cph] ), Fons Rademakers [c [...truncated...]
Maintainer: Andreas Fueglistaler <andreas.fueglistaler@unifr.ch>

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Package skellam updated to version 0.2.5 with previous version 0.2.4 dated 2025-04-07

Title: The Skellam Distribution: Densities, Sampling, Estimation and Regression
Description: Density, distribution function, quantile function and random generation for the Skellam distribution, the distribution of the difference of two independent Poisson variables (Skellam, 1946), with saddlepoint approximations, maximum likelihood estimation, and a regression model in which both rates depend on covariates. The distribution functions remain accurate for very large rates and far into the tails, on the natural and the log scale.
Author: Jerry W. Lewis [aut], Patrick E. Brown [aut], Michail Tsagris [aut], Montasser Ghachem [aut, cre], Oguz Ersan [aut]
Maintainer: Montasser Ghachem <mg@pinstimation.com>

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Package Rgof updated to version 4.1.0 with previous version 4.0.1 dated 2026-10-05

Title: 1d Goodness of Fit Tests
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package pigauto updated to version 0.11.1 with previous version 0.11.0 dated 2026-10-18

Title: Fill in Missing Species Traits Using a Phylogenetic Tree
Description: Imputes missing species trait data for comparative analyses by combining three sources of information: phylogenetic similarity (closely related species share similar traits), cross-trait correlations (observed traits inform missing ones), and optional environmental covariates (climate, habitat, geography). Handles continuous measurements, counts, binary variables, ordered categories, unordered categories, bounded proportions, zero-inflated counts, and compositional multi-proportion data in a single call. The default method is a phylogenetic baseline calibrated on held-out data; an optional graph neural network prediction is blended in through a per-trait gate that retains a baseline fallback. Covariates can inform the network and selected baseline paths. Provides conformal prediction intervals for continuous, count, ordinal, and proportion traits and an experimental analysis-aware multiple-imputation workflow for one missing continuous covariate in Gaussian linear, binomial-logit, and [...truncated...]
Author: Shinichi Nakagawa [aut, cre, cph], Daniel Noble [ctb]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>

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Package ecb updated to version 0.4.4 with previous version 0.4.3 dated 2025-03-19

Title: Programmatic Access to the European Central Bank's Data Portal
Description: Provides an interface to the European Central Bank's Data Portal API, allowing for programmatic retrieval of a vast quantity of statistical data.
Author: Eric Persson [aut, cre], Franz X. Mohr [ctb]
Maintainer: Eric Persson <expersso5@gmail.com>

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Package acro updated to version 1.1.1 with previous version 1.0.0 dated 2026-09-09

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
Author: Jim Smith [aut, ctb] , Maha Albashir [cre, ctb], Richard John Preen [aut, ctb]
Maintainer: Maha Albashir <Maha.Albashir@uwe.ac.uk>

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Package grateful updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-04

Title: Facilitate Citation of R Packages
Description: Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, ready to be pasted into reports or manuscripts. Alternatively, 'grateful' can be used directly within an 'R Markdown' or 'Quarto' document.
Author: Francisco Rodriguez-Sanchez [aut, cre, cph] , Connor P. Jackson [aut] , Shaurita D. Hutchins [ctb], James M. Clawson [ctb]
Maintainer: Francisco Rodriguez-Sanchez <f.rodriguez.sanc@gmail.com>

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Package anotherSAS7bdat updated to version 0.0.9 with previous version 0.0.7 dated 2026-10-21

Title: Read 'SAS' Data in Chunks and Convert to 'Parquet'
Description: Reads 'SAS' 'sas7bdat' files through a persistent native reader. Processes configurable chunks without reopening the input or restarting the parser between chunks. Supports uncompressed, run-length encoded, and Ross Data Compression data through the bundled 'ReadStat' library. Also streams native decoded batches directly to 'Parquet' through the 'Arrow' C Data Interface and the optional 'arrow' package, without constructing R data frames.
Author: Jianyun Wu [aut, cre], Evan Miller [aut, cph]
Maintainer: Jianyun Wu <jianyun.fred.wu@hotmail.com>

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Package mintyr updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-05

Title: Grouped and Nested Data Pipelines Built on 'data.table'
Description: A toolkit for grouped and nested data pipelines built on 'data.table': import many Excel / CSV files (including multi-row headers) into one table, reshape and nest data by trait and group, run reproducible (stratified) k-fold cross-validation inside every group, summarise groups with report-ready descriptive statistics, and write each piece back to its own file or sheet. Developed for animal breeding, where it prepares phenotypic files for 'ASReml-R', 'HIBLUP' or 'DMU', but useful for any multi-group, multi-variable analysis.
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>

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Package fastglm updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-27

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues. Provides formula and matrix interfaces for count and cumulative-link ordinal models, mean bias reduction, and fitting from data read in blocks of rows for supported model classes.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package blockmodels updated to version 1.2.1 with previous version 1.1.5 dated 2021-12-01

Title: Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm
Description: Latent and Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates. See Leger (2016) <doi:10.48550/arXiv.1602.07587>.
Author: Jean-Benoist Leger [aut] , Julien Chiquet [aut, cre] , Pierre Barbillon [aut] , Louis Lacoste [aut]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package worldmet updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-18

Title: Import Surface Meteorological Data from NOAA
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Global Historical Climate Network (GHCN) and Integrated Surface Database (ISD).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package wefnexus updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-10

Title: Water-Energy-Food-Nutrient-Carbon Nexus Analysis for Agronomic Systems
Description: Provides functions for analysing Water-Energy-Food-Nutrient-Carbon (WEFNC) nexus interactions in agricultural production systems. Includes functions for computing water use efficiency (WUE), water productivity (WP), and water footprint (WF) including green, blue, and grey components following the methodology of Hoekstra et al. (2011, ISBN:9781849712798). Includes energy budgeting tools for energy use efficiency (EUE), energy return on investment (EROI), net energy (NE), and energy productivity (EP). Computes nutrient use efficiency (NUE) metrics including agronomic efficiency (AE), physiological efficiency (PE), recovery efficiency (RE), and partial factor productivity (PFP) as defined by Dobermann (2007) <https://digitalcommons.unl.edu/agronomyfacpub/316/> and Congreves et al. (2021) <doi:10.3389/fpls.2021.637108>. Estimates carbon footprint (CF), greenhouse gas (GHG) emissions, soil organic carbon (SOC) stocks, and global warming potential (GWP) using Intergovernmental Pa [...truncated...]
Author: Lalit Kumar Rolaniya [aut, cre] , Hemant Poonia [aut] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>

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Package BayesMallows updated to version 2.3.0 with previous version 2.2.7 dated 2026-01-20

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>; Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>; Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] , Waldir Leoncio [aut], Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package BaseSet updated to version 1.0.1 with previous version 1.0.0 dated 2025-02-17

Title: Working with Sets the Tidy Way
Description: Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.
Author: Lluis Revilla Sancho [aut, cre, cph] , Zebulun Arendsee [rev], Jennifer Chang [rev]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>

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Package mhpfilter updated to version 1.0.0 with previous version 0.1.0 dated 2026-02-13

Title: Modified and Fully Modified Hodrick-Prescott Filters
Description: Decomposes macroeconomic time series into trend and cycle with the Hodrick-Prescott (HP) filter and two data-driven versions of it. The modified HP filter of McDermott (1997), assessed by Choudhary, Hanif and Iqbal (2014) <doi:10.1080/00036846.2014.894631>, chooses the smoothing parameter of every series by generalised cross-validation (as described in Coe and McDermott (1997) <doi:10.2307/3867497>). The fully modified HP filter of Hanif, Iqbal and Choudhary (2017, State Bank of Pakistan Working Paper 88) also reduces the end-point bias of the HP filter: it raises the smoothing parameter at the first and last observations, with linear or quadratic weights chosen to minimise the loss of Bloechl (2014, University of Munich Discussion Paper 2014-1). Every filter is a banded linear solve, so the searches are fast; batch processing of many series, comparisons of the filters, the filter weights, gain functions and end-point loss, simulation of trend-plus-cycle series and the powe [...truncated...]
Author: Muhammad Yaseen [aut, cre, cph] , Javed Iqbal [ctb] , M. Nadim Hanif [ctb, cph] , M. Ali Choudhary [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package dmai updated to version 1.0.0 with previous version 0.5.0 dated 2024-03-23

Title: Divisia Monetary Aggregates Index
Description: Builds monetary aggregates from their components by the methods of index number theory. The Divisia index of Barnett (1980) <doi:10.1016/0304-4076(80)90070-6> weights every component (currency, demand deposits, savings and time deposits, ...) by its share in the expenditure on monetary services, priced by its user cost (Barnett 1978) <doi:10.1016/0165-1765(78)90051-4>. Also gives the Fisher ideal index, a variant with simple growth rates, the simple-sum aggregate, the currency equivalent index of Rotemberg, Driscoll and Poterba (1995), the dual user-cost price index and the Divisia second moments of Barnett and Serletis (1990) <doi:10.1016/0304-4076(90)90104-2>; benchmark rates given or taken from the components (upper envelope); 'ggplot2' graphics, a plain-language interpretation of every result and a built-in 'shiny' application.
Author: Muhammad Yaseen [aut, cre, cph] , Ahmad Nadeem [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package bpDir updated to version 0.2.6 with previous version 0.1.2 dated 2021-04-08

Title: Boxplots for Directional Data
Description: Functions for drawing boxplots for data on (the boundary of) a unit circle (i.e., circular and axial data), from Buttarazzi D., Pandolfo G., Porzio G.C. (2018) <doi:10.1111/biom.12889>. The package allows producing also circular violin plots, and includes methods to calculate robust measures of dispersion for circular data.
Author: Davide Buttarazzi [aut, cre]
Maintainer: Davide Buttarazzi <davidebuttarazzi90@gmail.com>

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Package kstMatrix updated to version 3.0-1 with previous version 3.0-0 dated 2026-09-01

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces obtained in the 1990s by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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