Mon, 12 Oct 2026

Package mixtime updated to version 0.4.0 with previous version 0.3.0 dated 2026-08-24

Title: Mixed Temporal Vectors and Operations
Description: Flexible time classes for time series analysis and forecasting with mixed temporal granularities. Supports linear and cyclical time representations in discrete and continuous forms, with timezone support, across multiple calendar systems including Gregorian and ISO week date calendars. Time points are stored numerically relative to a chronon; an atomic time granule defined by time units of a calendar. Calendrical arithmetic enables conversion between time granules (e.g. days to months) and calendar systems. Multi-unit arithmetic allows for temporal analysis with other granules of common calendars (e.g. fortnights are 2-week units). Time vectors of different granularities (e.g. monthly and quarterly) can be combined in a single vector, making 'mixtime' ideal for data that changes observation frequency over time or requires temporal reconciliation across scales. The package is extensible, allowing users to define custom calendars that build upon civil and astronomical time systems.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia Huang [ctb] , Rob Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package epiR updated to version 3.0.0 with previous version 2.0.99 dated 2026-10-01

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], Ian Kopacka [ctb], Klemens Fuchs [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package RcppCGAL updated to version 6.2.1.1 with previous version 6.2.1 dated 2026-09-05

Title: 'Rcpp' Integration for 'CGAL'
Description: Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 6.2.1 of the 'CGAL' header files.
Author: Eric Dunipace [aut, cre] , Tyler Morgan-Wall [ctb], Michael Chirico [ctb], The CGAL Project [cph]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package datacaged updated to version 0.2.3 with previous version 0.2.1 dated 2026-09-09

Title: CAGED Microdata Download and Storage in 'DuckDB'
Description: Tools to download, parse, and store Brazilian CAGED (Cadastro Geral de Empregados e Desempregados) microdata using 'DuckDB'. Supports both legacy CAGED (pre-2020), Novo CAGED (2020+), and adjustment files, enabling efficient local storage and analysis workflows. Data is sourced from the HuggingFace repository <https://huggingface.co/datasets/alexsandroprado/caged>.
Author: Alexsandro Prado [aut, cre]
Maintainer: Alexsandro Prado <alexsandro.prado@ufersa.edu.br>

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Package rpyANTs updated to version 0.0.7 with previous version 0.0.6 dated 2026-01-11

Title: An Alternative Advanced Normalization Tools ('ANTs')
Description: Provides portable access from 'R' to biomedical image processing toolbox 'ANTs' by Avants et al. (2009) <doi:10.54294/uvnhin> via seamless integration with the 'Python' implementation 'ANTsPy'. Allows biomedical images to be processed in 'Python' and analyzed in 'R', and vice versa via shared memory. See 'citation("rpyANTs")' for more reference information.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package ravetools updated to version 0.4.0 with previous version 0.3.2 dated 2026-09-04

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre] , John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlag [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package BIGpopA updated to version 2.2.0 with previous version 2.1.0 dated 2026-10-05

Title: Pedigree Validation Genetic Composition of Diploids & Polyploids
Description: Tools for pedigree quality control and genomic breed/line composition estimation in diploid and polyploid breeding populations. 'BIGpopA' provides functions to check and correct common pedigree errors, assign parentage from SNP genotype data using Mendelian error rates, validate parent-offspring trios, and estimate genome-wide breed or line composition using quadratic programming. Pedigree validation and parentage assignment support any ploidy, using a polysomic Mendelian test for even ploidy and a homozygosity-based check for odd ploidy. Genotypes can be supplied as dosage tables, VCF files, or 'PLINK' .ped files. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>.
Author: Josue Chinchilla-Vargas [cre, aut], Alexander Sandercock [aut], University of Florida [cph]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>

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Package trend updated to version 1.1.9 with previous version 1.1.8 dated 2026-09-03

Title: Non-Parametric Trend Tests and Change-Point Detection
Description: The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package OLSengine updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-18

Title: Transparent and Assisted Linear Modeling Engine
Description: Unified estimation, diagnostics, and reporting for ordinary least squares (OLS) regression, ANOVA/t-tests, logistic regression, panel data (fixed/random effects with Hausman test), instrumental variables (2SLS with weak instrument diagnostics), and difference-in-differences. Designed for applied researchers in social sciences with integrated "Methodological Customs" that audit assumptions and provide literature references. All methods implemented in pure base R without external dependencies beyond stats and graphics packages.
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>

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Package cgvR updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-11

Title: Interactive 3D Visualization of Large Cayley Graphs via Vulkan
Description: Provides interactive 3D visualization for large-scale Cayley graphs. Specifically designed for analyzing state spaces of the 'TopSpin' puzzle. Leverages the 'Datoviz' library and Vulkan-based GPU rendering for smooth real-time exploration of large graphs and complex state transitions. Implements efficient coordinate mapping for high-dimensional permutation groups, allowing users to visualize the connectivity and structural properties of the puzzle's state space. The rendering engine provides high-performance visuals and interactive camera controls, making it suitable for mathematical analysis of group-theoretic puzzles within the R environment.
Author: Yuri Baramykov [aut, cre] , Cyrille Rossant [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package visualpred updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-19

Title: Visualization 2D of Binary Classification Models
Description: Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Author: Javier Portela [aut, cre]
Maintainer: Javier Portela <javipgm@gmail.com>

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Package spacemodR updated to version 0.3.5 with previous version 0.1.3 dated 2026-02-20

Title: Spatial Environmental Risk Assessment Through Food Webs
Description: A workflow for spatially explicit environmental risk assessment of contaminated sites: habitat, food web, dispersal, exposure and risk. Starting from a raster of soil contamination, the package builds habitat layers for a set of species, organises them in a directed acyclic graph representing a food web, and propagates the flow of elements (e.g., food, energy, contaminants) along its links. It also provides soil interpolation by kriging, dispersal by kernel convolution or by circuit theory (through the optional 'Julia' package 'Omniscape'), land cover retrieval for France ('OCS-GE') and Europe ('EUNIS'), and Bayesian calibration of transfer models with 'Stan'.
Author: Virgile Baudrot [aut, cre, cph], Lea Bariod [ctb], Clementine Fritsch [ctb, cph], Renaud Scheifler [ctb]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

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Package SDCNway readmission to version 1.1.1 with previous version 1.0.1 dated 2020-12-17

Title: Tools to Evaluate Disclosure Risk
Description: Functions and tools for calculating disclosure risk measures. This includes record-level measures primarily using exhaustive tabulation, as well as file-level measures using a loglinear model.
Author: John Riddles [aut, cre], Westat [cph]
Maintainer: John Riddles <JohnRiddles@westat.com>

This is a re-admission after prior archival of version 1.0.1 dated 2020-12-17

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Package risdr updated to version 0.4.0 with previous version 0.3.1 dated 2026-07-28

Title: Regularised and Information-Theoretic Sufficient Dimension Reduction
Description: Implements covariance-stabilised sufficient dimension reduction for continuous responses, with an additional sparse engine for continuous, categorical, and right-censored survival responses and information-theoretic structural dimension selection. Supported methods include sliced inverse regression, sliced average variance estimation, directional regression, and principal Hessian directions. Sample, ridge, Oracle Approximating Shrinkage, Ledoit-Wolf, and Maximum Entropy Covariance (MEC) estimators are provided alongside prediction, resampling, simulation, and diagnostic utilities. The sufficient dimension reduction methods build on Li (1991) <doi:10.1080/01621459.1991.10475035>, Li (1992) <doi:10.1080/01621459.1992.10476258>, and Li and Wang (2007) <doi:10.1198/016214507000000536>. Covariance shrinkage follows Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4> and Chen et al. (2010) <doi: [...truncated...]
Author: Kabir Olorede [aut, cre]
Maintainer: Kabir Olorede <kabirolorede@gmail.com>

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Package marcxmlr updated to version 0.4.0 with previous version 0.3.1 dated 2026-09-28

Title: Faithful and Scalable MARCXML Parsing
Description: Parses Machine-Readable Cataloging ('MARC 21') XML <https://www.loc.gov/standards/marcxml/> into a canonical tidy long representation while preserving leaders, control fields, data fields, indicators, repeated fields, repeated subfields, and source order. Provides in-memory reading, bounded-memory conversion to 'Parquet', and reconstruction of MARCXML from canonical data. Supports structural diagnostics for in-memory and 'Arrow'-backed representations, optional recovery from malformed MARC records, and local parallel processing.
Author: Lorenzo Isella [aut, cre]
Maintainer: Lorenzo Isella <lorenzo.isella@gmail.com>

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Package ieegio updated to version 0.1.3 with previous version 0.1.2 dated 2026-09-03

Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package Eunomia updated to version 2.2.0 with previous version 2.1.0 dated 2025-09-15

Title: Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets
Description: Facilitates access to sample datasets from the 'EunomiaDatasets' repository (<https://github.com/ohdsi/EunomiaDatasets>).
Author: Anthony Sena [aut, cre], Frank DeFalco [aut], Martijn Schuemie [aut], Natthawut Adulyanukosol [aut], Star Liu [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

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Package distspec updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-01

Title: Probability Distributions with Certain or Uncertain Parameters
Description: Represents probability distributions with fixed or potentially uncertain parameters, with tools to discretise, convolve, sample from and summarise them.
Author: Sebastian Funk [aut, cre] , James M. Azam [aut] , Sam Abbott [aut]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package AMDconfigurations updated to version 0.2.1 with previous version 0.1.0 dated 2026-03-17

Title: Geometric Analysis of Configurations in High-Dimensional Spaces
Description: Computes Average Membership Degree (AMD) from soft-membership matrices and constructs AMD curves across candidate configuration counts. The current curve backend uses repeated fuzzy c-means fits while keeping the AMD definition, membership estimation, curve construction, and final assignment as separate operations. Fitted memberships, convergence diagnostics, preprocessing transformations, seeds, row maps, and process-level reproducibility links are retained. The package reports numerical curve features but leaves their scientific interpretation to an explicitly justified analysis. The method was introduced by Mendoza and Araújo (2022) <doi:10.1111/ecog.06289>.
Author: Manuel Mendoza [aut, cre]
Maintainer: Manuel Mendoza <mmendoza@mncn.csic.es>

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Package adespatial updated to version 0.3-30 with previous version 0.3-29 dated 2026-03-20

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package sgt updated to version 2.0-2 with previous version 2.0 dated 2015-09-03

Title: Skewed Generalized T Distribution Tree
Description: Density, distribution function, quantile function and random generation for the skewed generalized t distribution. This package also provides a function that can fit data to the skewed generalized t distribution using maximum likelihood estimation.
Author: Carter Davis [aut, cre]
Maintainer: Carter Davis <cdavis40@chicagobooth.edu>

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Package eplusr updated to version 0.18.0 with previous version 0.17.0 dated 2026-06-20

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre, cph] , Adrian Chong [aut]
Maintainer: Hongyuan Jia <hongyuanjia@cqust.edu.cn>

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Package muiTreeView updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-26

Title: 'MUI X Tree View' for 'shiny' Apps and 'Quarto'
Description: Wraps the 'MUI X Tree View' React components <https://mui.com/x/react-tree-view/> for use in 'shiny' applications and 'quarto' documents, letting users navigate hierarchical data with nested levels that can be expanded and collapsed. Bundles the MIT-licensed community edition of the '@mui/x-tree-view' JavaScript library (the commercial 'Pro' tier is not included).
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] JavaScript libraries; see LICENSE.note), Meta Platforms, Inc. and affiliates [cph] , React Community [cph] , Luke Edwards [cph] , Reselect contributors [cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package MazamaCoreUtils updated to version 0.6.4 with previous version 0.6.3 dated 2026-09-30

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package ritalic updated to version 0.13.0 with previous version 0.12.0 dated 2026-03-16

Title: Interface to the ITALIC Database of Lichen Biodiversity
Description: A programmatic interface to the Web Service methods provided by ITALIC (<https://italic.units.it>). ITALIC is a database of lichen data in Italy and bordering European countries. 'ritalic' includes functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits and identification keys. More information about the data is available at <https://italic.units.it/?procedure=base&t=59&c=60>. The API documentation is available at <https://italic.units.it/?procedure=api>.
Author: Matteo Conti [aut, cre] , Luana Francesconi [aut], Alice Musina [aut], Luca Di Nuzzo [aut], Gabriele Gheza [aut], Chiara Pistocchi [aut], Juri Nascimbene [aut], Pier Luigi Nimis [aut], Stefano Martellos [aut]
Maintainer: Matteo Conti <matt.ciao@gmail.com>

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Package MVar.pt updated to version 2.3.1 with previous version 2.3.0 dated 2026-06-22

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MVar updated to version 2.3.1 with previous version 2.3.0 dated 2026-06-21

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MoNAn updated to version 2.1.1 with previous version 2.0.0 dated 2026-10-11

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks. Version 2 runs the simulations in 'C++' (using 'Rcpp') and, besides stochastic approximation (Robbins-Monro), can estimate parameters with Geyer-Thompson MCMC maximum likelihood estimation.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut] , Marion Hoffman [aut] , Jingying Wang [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>

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Package Kira updated to version 1.0.9 with previous version 1.0.8 dated 2026-04-13

Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package healthiar updated to version 0.2.7 with previous version 0.2.6 dated 2026-09-11

Title: Quantifying and Monetizing Health Impacts Attributable to Exposure
Description: This R package has been developed with a focus on air pollution and noise but can be applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. Selection of relevant references (in chronological order): WHO (2003) <https://www.who.int/publications/i/item/9241546204>, Murray et al. (2003) <doi:10.1186/1478-7954-1-1>, Miller & Hurley (2003) <doi:10.1136/jech.57.3.200>, Steenland & Armstrong (2006) <doi:10.1097/01.ede.0000229155.05644.43>, WHO (2011) <https://iris.who.int/items/723ab97c-5c33-4e3b-8df1-744aa5bc1c27>, GBD 2019 Risk Factors Collaborators (2020) <doi:10.1016/S0140-6736(20)30752-2>.
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Gianni Ardielli [ctb] , Iracy Pimenta [ctb] , Susanne Breitner [ctb] , Carl Baravelli [ctb] , Vanessa Gorasso [ctb] , Maria Lepnurm [ctb] , Andreia [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>

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Package ctreeMI updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-18

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, every node-level test statistic is divided by the number of imputations M, the node-level p-values are recomputed from the chi-squared reference distribution 'ctree' uses (including its multiplicity adjustment across candidate splitting variables), and the tree is compressed bottom-up (the Stack/M correction). Degrees of freedom are derived for each node and each candidate variable, so univariate, bivariate and higher-dimensional outcomes are all handled, as are unordered factor predictors, whose degrees of freedom depend on how many levels remain in a node. The result is a single interpretable tree [...truncated...]
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

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Package eiballots updated to version 0.2.0-1 with previous version 0.1.0-1 dated 2026-09-26

Title: Ballot-Level Microdata and Summaries for Ecological Inference (Florida 2000)
Description: Provides access to ballot-level electoral microdata from the Florida 2000 general election and tools for computing summaries suitable for ecological inference. Includes functions to load data by county or race (election), compute marginal distributions at the precinct level, and build joint contingency arrays across multiple races for use with ecological inference packages. Data files are stored in a remote repository and downloaded on demand; local copies are supported via the 'data_dir' option. Acknowledgements: We thank Jaime Ventura (ANES, University of Michigan) and Dan Keating (The Washington Post) for providing the raw data that serve as the starting point for the construction of this package. We also acknowledge funding from the Conselleria de Educación, Cultura y Universidades (grant CIACIO/2023/031).
Author: Cristina Aybar [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package taxodist updated to version 0.9.0 with previous version 0.8.0 dated 2026-09-24

Title: Taxonomic Hierarchy Distances and Lineage Analysis
Description: Computes distances between taxonomic hierarchy nodes using lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>. For distinct nodes, distance is defined as the reciprocal of the depth of their most recent common ancestor; identical nodes have distance zero. This definition yields an ultrametric within each connected hierarchy. Functions are provided for auditable name resolution, online or user-supplied lineage analysis, clade membership, pairwise, matrix, and cross-set distance calculation, classification trees with named clades, hierarchical clustering, principal coordinates analysis, portable and comparable JSON analysis bundles, and cache management. Distance matrices are returned as base R 'dist' objects. The distances represent classification depth rather than evolutionary time or phylogenetic branch length.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package talib updated to version 0.9-5 with previous version 0.9-4 dated 2026-10-05

Title: Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns
Description: Interface to the 'TA-Lib' (Technical Analysis Library) 'C' library, providing access to 150+ indicators (e.g. Average Directional Movement Index (ADX), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands), candlestick pattern recognition, and rolling-window utilities. Core computations are implemented in 'C' for fast Open-High-Low-Close-Volume (OHLCV) time-series feature engineering and rule-based signal generation, with optional interactive visualization via 'plotly'.
Author: Serkan Korkmaz [cre, aut, cph] , Mario Fortier [cph] )
Maintainer: Serkan Korkmaz <serkor1@duck.com>

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Package SEQTaRget updated to version 1.4.5 with previous version 1.4.4 dated 2026-08-28

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 postshock updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-27

Title: Donor-Adjusted Post-Shock Forecasting
Description: Implements donor-adjusted methods for forecasting conditional means and variances after structural shocks. Historical donor episodes are weighted using covariates observed before each shock, and their estimated post-shock effects are combined with forecasts from a target-series model. The methods build on Lin and Eck (2021) <doi:10.1016/j.ijforecast.2021.03.010>. The package supports donor balancing weights, structured donor pools, autoregressive integrated moving average models, and generalized autoregressive conditional heteroscedasticity models with external regressors.
Author: Qiyang Wang [aut, cre] , Daniel J. Eck [aut]
Maintainer: Qiyang Wang <wangqiyang497@gmail.com>

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Package PBGoF updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-02

Title: Goodness-of-Fit Tests for Skew-Normal and Skew-t Models
Description: Provides precomputed-quantile goodness-of-fit tests for skew-normal distributions, parametric-bootstrap tests for skew-normal and skew-t distributions, robust fitting, and graphical diagnostics. Package methods and documentation are described by Li, Xu, and Khang (2026) <https://github.com/Divo-Lee/PBGoF>.
Author: Hongxiang Li [aut, cre], Chenglin Xu [aut], Tsung Fei Khang [aut]
Maintainer: Hongxiang Li <hxli@ynnu.edu.cn>

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Package multiscape updated to version 1.4.2 with previous version 1.0.7 dated 2026-04-30

Title: Multi-Action, Multi-Objective Spatial Planning
Description: Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisati [...truncated...]
Author: Jose Salgado-Rojas [aut, cre] , Matias Moreno-Faguett [aut] , Victoria Madrid-Ayala [aut] , Sara Pineda-Zapata [aut] , Nuria Aquilue [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>

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Package ggplotify updated to version 0.1.4 with previous version 0.1.3 dated 2025-09-20

Title: Convert Almost Any Plot to a 'grob' or 'ggplot' Object
Description: Convert a plot to a 'grob' or a 'ggplot' object so that it joins the 'grid' and 'ggplot2' ecosystem. The input can be a plot call written as a formula or an expression, a function that draws to a graphics device, a graphic object produced by another package, or a plot captured by 'grDevices::recordPlot'. Output of 'base' graphics is redrawn with 'gridGraphics', so plots from different graphics systems can be arranged, aligned, annotated and inset with packages such as 'aplot' and 'patchwork'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package dragonfarm updated to version 0.3.4 with previous version 0.3.3 dated 2026-10-07

Title: Fine-Tune Small Language Models with LoRA from R
Description: Fine-tune small (100M to 3B parameter) causal language models with LoRA (Low-Rank Adaptation) from R. Datasets are mapped to chat-format prompts and responses, training runs in a background 'Python' process built on Hugging Face 'transformers' and 'peft', and a 'shiny' app offers drag-and-drop dataset upload and column mapping. 'Python' dependencies are declared through 'reticulate' and resolved automatically on first use.
Author: Tejas Patel [aut, cre]
Maintainer: Tejas Patel <algocrat@gmail.com>

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2011-07-26 1.00.0

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Package whirl updated to version 0.3.3 with previous version 0.3.2 dated 2026-01-21

Title: Log Execution of Scripts
Description: Logging of scripts suitable for clinical trials using 'Quarto' to create nice human readable logs. 'whirl' enables execution of scripts in batch, while simultaneously creating logs for the execution of each script, and providing an overview summary log of the entire batch execution.
Author: Aksel Thomsen [aut, cre], Lovemore Gakava [aut], Cervan Girard [aut], Kristian Troejelsgaard [aut], Steffen Falgreen Larsen [aut], Vladimir Obucina [aut], Michael Svingel [aut], Skander Mulder [aut], Oliver Lundsgaard [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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Package concstats updated to version 0.2.1 with previous version 0.1.6 dated 2023-03-30

Title: Market Structure, Concentration and Inequality Measures
Description: Based on individual market shares of all participants in a market or space, the package offers a set of different structural and concentration measures frequently - and not so frequently - used in research and in practice. Measures can be calculated in groups or individually. The calculated measure or the resulting vector in table format should help practitioners make more informed decisions. Methods used in this package are from: 1. Chang, E. J., Guerra, S. M., de Souza Penaloza, R. A. & Tabak, B. M. (2005) "Banking concentration: the Brazilian case". 2. Cobham, A. and A. Summer (2013). "Is It All About the Tails? The Palma Measure of Income Inequality". 3. Garcia Alba Idunate, P. (1994). "Un Indice de dominancia para el analisis de la estructura de los mercados". 4. Ginevicius, R. and S. Cirba (2009). "Additive measurement of market concentration" <doi:10.3846/1611-1699.2009.10.191-198>. 5. Herfindahl, O. C. (1950), "Concentration in the steel industry" (PhD thesis). 6 [...truncated...]
Author: Andreas Schneider [aut, cre] , Sebastian Wojcik [rev], Christopher T. Kenny [rev]
Maintainer: Andreas Schneider <schneiderconsultingpy@gmail.com>

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Package wkpool updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-05

Title: Vertex Pool Topology for Well-Known Geometry
Description: Establishes and maintains vertex pool topology for geometry handled by 'wk'. Segments are the atomic unit, vertices are shared via integer references into a pool. Topology is made discoverable via coincident vertex detection while not requiring modification of the input data. Topological data models follow principles described in Worboys and Duckham (2004, ISBN:978-0415283755). The edge-based topology geometry decomposed into vertices and directed edge pairs is a simplification of the quad-edge case in Guibas & Stolfi (1985) <doi:10.1145/282918.282923>.
Author: Michael Sumner [aut, cre, cph]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package vecvec updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-20

Title: Construct Mixed Type Data Structures with Vectors of Vectors
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package respondeR updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-19

Title: Imputing Responder Proportions from Continuous Outcomes
Description: Express meta-analyses of continuous trial outcomes in terms of responder risks, following the interpretability tutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given the mean change, standard deviation and sample size per arm across studies, respondeR estimates the proportion of patients who cross a minimal important difference (MID) threshold under a parametric model for the change scores, and contrasts the arms as a risk difference, risk ratio, odds ratio or number needed to treat. It provides per-study (fixed- or random-effects) pooling with exact tail probabilities, a pooled-summary method anchored on the within-study mean difference, median and unweighted-mean summaries, the standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera, Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free common-language effect size, results across a range of thresholds, GRADE summary-of-findings rows, change-score stand [...truncated...]
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>

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Package qualpalr updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-29

Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A set of colors or a subspace of a color space is used as input and a final palette of specified size is generated by picking colors that maximize the minimum pairwise difference among the chosen colors. Adaptations to color vision deficiency, background colors, and white points are supported.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johan@jolars.co>

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Package mantar updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-08

Title: Missingness Alleviation for Network Analysis
Description: Provides functionality for estimating cross-sectional network structures representing partial correlations while accounting for missing data. Networks are estimated via neighborhood selection or regularization, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach, as demonstrated by Nehler and Schultze (2025) <doi:10.1080/00273171.2025.2503833> and Nehler and Schultze (2026) <doi:10.1037/met0000828>. Deletion-based approaches are also available but play a secondary role.
Author: Kai Jannik Nehler [aut, cre]
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>

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Package ggtime updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-01

Title: Grammar of Graphics and Plot Helpers for Time Series Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia A. Huang [aut] , Matthew Kay [aut] , Rob Hyndman [aut] , Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package Dogoftest updated to version 0.4.2 with previous version 0.3 dated 2025-07-29

Title: Distributed Online Goodness-of-Fit Tests for Distributed Datasets
Description: Distributed Online Goodness-of-Fit Test can process the distributed datasets. The philosophy of the package is described in Guo G.(2024) <doi:10.1016/j.apm.2024.115709>.
Author: Guangbao Guo [aut, cre] , Di Chang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package crops updated to version 1.0.5 with previous version 1.0.4 dated 2026-09-04

Title: Changepoints for a Range of Penalties (CROPS)
Description: Implements the Changepoints for a Range of Penalties (CROPS) algorithm of Haynes et al. (2017) <doi:10.1080/10618600.2015.1116445> for finding all of the optimal segmentations for multiple penalty values over a continuous range.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut], Idris Eckley [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package acousticTS updated to version 2.0.8 with previous version 2.0.6 dated 2026-09-26

Title: Physics-Based Models for Acoustic Target Strength
Description: Acoustic target strength (TS) represents the intensity of an echo returning from an individual scatterer such as bubbles, fish, or zooplankton. TS can be used to convert integrated or volumetric backscatter collected from fisheries acoustic surveys into units of number density (e.g. animals per m^3), abundance (e.g. number of animals), and biomass (e.g. kg). This parameter can also be used to aid in classifying backscatter, such as separating likely echoes of large predatory fish (e.g. adult cod) from smaller prey (e.g. shrimp). One way to estimate TS is to use physics-based models to calculate theoretical TS that comprise exact and approximate solutions as well as analytical approaches. The models provided can help provide TS estimates over broad statistical distributions of model parameters. Applications are described by Lucca et al. (2023) <doi:10.1121/10.0022459>, with fisheries-acoustics principles from Simmonds and MacLennan (2005) <doi:10.1002/9780470995303>.
Author: Brandyn Lucca [aut, cre, cph] , Arnie Lee Van Buren [ctb, cph] , Jeffrey E. Boisvert [ctb]
Maintainer: Brandyn Lucca <brandyn.lucca@gmail.com>

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Package piar updated to version 0.11.0 with previous version 0.10.1 dated 2026-07-30

Title: Price Index Aggregation
Description: Most price indexes are made with a two-step procedure, where period-over-period elementary indexes are first calculated for a collection of elementary aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) and PPI manual (2004, <doi:10.5089/9781589063044.069>) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package icebergr updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-10

Title: Read and Write 'Apache Iceberg' Tables
Description: A native client for 'Apache Iceberg', the open table format used by 'Snowflake', 'Databricks', 'BigQuery', 'AWS' and 'Dremio'. Rather than reaching 'Iceberg' through a query engine such as 'DuckDB', this package talks to it directly: it connects to REST and 'AWS Glue' catalogs, lists namespaces and tables, reads the schema and partition specification of a table, scans data with predicates and projections pushed down, travels back through snapshot history, and appends new data. 'Apache Arrow' is the interchange layer throughout, so scan results arrive in R without a serialisation round trip. Built on 'iceberg-rust', the Apache-governed 'Rust' implementation, via 'extendr'. Supports table spec versions 1 and 2; see the 'README' for the full matrix of supported and unsupported features. This is a community package, not affiliated with or endorsed by The Apache Software Foundation; 'Apache', 'Apache Iceberg' and 'Iceberg' are trademarks of The Apache Software Foundation.
Author: Youzhi Yu [aut, cre], The Apache Software Foundation [cph]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package HACSim updated to version 1.0.7-2 with previous version 1.0.7-1 dated 2025-09-19

Title: Iterative Extrapolation of Species' Haplotype Accumulation Curves for Genetic Diversity Assessment
Description: Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008>, Phillips et al. (2019) <doi:10.1002/ece3.4757> and Phillips et al. (2020) <doi: 10.7717/peerj-cs.243>. 'HACSim' outputs a number of useful summary statistics of sampling coverage ("Measures of Sampling Closeness"), including an estimate of the likely required sample size (along with desired level confidence intervals) necessary to recover a given number/proportion of observed unique species' haplotypes. Any genomic marker can be targeted to assess likely required specimen sample sizes for genetic diversity assessment. The method is particularly well-suited to assess sampling sufficiency for DNA barcoding initiatives. Users can also simulate their own DNA sequences according to various models of nucleotide [...truncated...]
Author: Jarrett D. Phillips [aut, cre], Steven H. French [ctb], Navdeep Singh [ctb]
Maintainer: Jarrett D. Phillips <phillipsjarrett1@gmail.com>

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Package GeoThinneR updated to version 2.1.3 with previous version 2.1.2 dated 2026-08-25

Title: Efficient Spatial Thinning of Species Occurrences
Description: Provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree and brute-force distance-based thinning, as well as grid-based and precision-based thinning methods. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.
Author: Jorge Mestre-Tomas [aut, cre]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>

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Package edgemodelr updated to version 0.4.5 with previous version 0.4.3 dated 2026-09-08

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, extracting vector representations, and streaming responses in real-time. Includes grammar-constrained generation for structured output, text classification, and retrieval-augmented generation (RAG) pipelines. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb, rev]
Maintainer: Pawan Rama Mali <prm@outlook.in>

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Package DSIR updated to version 0.11.0 with previous version 0.10.0 dated 2026-10-01

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, an average annual rate of reduction function for indicator progress tracking, direct age standardization against the bundled WHO 2026 Standard Population, period life-table construction, a snapshot helper for reproducible data pulls, and convenience clients for the World Health Organization Global Health Observatory (GHO) through its legacy OData API <https://ghoapi.azureedge.net/api/> or the public WHO xMart OData API <https://xmart-api-public.who.int/DATA_>, Global Health Estimates (GHE) through WHO xMart, and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

Diff between DSIR versions 0.10.0 dated 2026-10-01 and 0.11.0 dated 2026-10-12

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Permanent link

Package dparser updated to version 1.3.1-14 with previous version 1.3.1-13 dated 2024-10-22

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>). The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like rxode2's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Addition [...truncated...]
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-13 dated 2024-10-22 and 1.3.1-14 dated 2026-10-12

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Package AV1R readmission to version 0.1.4 with previous version 0.1.3 dated 2026-03-23

Title: 'AV1' Video Encoding for Biological Microscopy Data
Description: Converts microscopy video and image data (H.264/H.265, AVI/MJPEG, TIFF stacks) to the 'AV1' codec for compact storage, and archives 16-bit image stacks and videos losslessly in the 'FFV1' format. Encoding runs on the GPU via 'Vulkan' or 'VAAPI' when available and falls back to the CPU through 'FFmpeg' and 'SVT-AV1'. Whole experiment folders can be converted at once.
Author: Yuri Baramykov [aut, cre] , The Khronos Group Inc. [cph], FFmpeg developers [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

This is a re-admission after prior archival of version 0.1.3 dated 2026-03-23

Diff between AV1R versions 0.1.3 dated 2026-03-23 and 0.1.4 dated 2026-10-12

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Package arcstat updated to version 0.3.1 with previous version 0.3.0 dated 2026-09-14

Title: Arc-Length Statistics: Goodness of Fit, Distributions and a Bayesian Test
Description: Inference from the arc length of statistical functions. Three tools share one pure-C back-end: a goodness-of-fit test based on the arc length of the probability plot, with an analytic saddlepoint null and sensitivity to local density structure that the empirical-distribution tests miss; two constructions that build a distribution from the arc length of its defining curve, the arc-length generator and the quantile arc-length family estimated by L-moments; and a Bayesian nonparametric arc-length goodness-of-fit test on the Dirichlet-process posterior. The same C sources back the 'Python' package 'arcstat'.
Author: M. Theodor Loots [aut, cre]
Maintainer: M. Theodor Loots <theo.loots@gmail.com>

Diff between arcstat versions 0.3.0 dated 2026-09-14 and 0.3.1 dated 2026-10-12

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More information about arcstat at CRAN
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