Fri, 28 Aug 2026

Package Rtwalk updated to version 2.1.0 with previous version 2.0.2 dated 2026-07-30

Title: An MCMC Sampler Using the t-Walk Algorithm
Description: Implements the t-walk algorithm, a general-purpose, self-adjusting Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires no tuning and is robust for a wide range of target distributions, including high-dimensional and multimodal problems. This implementation includes an option for running multiple chains in parallel to accelerate sampling and facilitate convergence diagnostics.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

Diff between Rtwalk versions 2.0.2 dated 2026-07-30 and 2.1.0 dated 2026-08-28

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Package taxodist updated to version 0.7.0 with previous version 0.6.0 dated 2026-08-19

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 lineage retrieval and comparison, clade membership, pairwise and matrix distance calculation, hierarchical clustering, principal coordinates analysis, 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>

Diff between taxodist versions 0.6.0 dated 2026-08-19 and 0.7.0 dated 2026-08-28

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Package yrnd updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-21

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price as a mixture of lognormal densities. Leveraging on this, the package provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. The package also extracts from the RND of the government bond futures price simultaneously the RND of the cheapest-to-deliver bond yield at options' maturity and the RND of the ctd bond repo rate from options' maturity to futures' maturity. The package also provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at maturity, and also the non parametric distribution of the spread between two bond yields, using two RNDs based on options on bon [...truncated...]
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package SpaDES.tools readmission to version 2.1.3 with previous version 2.1.1 dated 2026-01-11

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for a categorized overview of these additional tools.
Author: Eliot J B McIntire [aut] , Alex M Chubaty [aut, cre] , Yong Luo [ctb], Ceres Barros [ctb] , Steve Cumming [ctb], Jean Marchal [ctb], His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>

This is a re-admission after prior archival of version 2.1.1 dated 2026-01-11

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Package smoothbp updated to version 0.2.8 with previous version 0.2.7 dated 2026-06-16

Title: Hierarchical Piecewise Regression with Smoothed Change-Points
Description: Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>. Methods are described in Bindoff (2026) <doi:10.48550/arXiv.2606.19044>.
Author: Aidan D Bindoff [aut, cre]
Maintainer: Aidan D Bindoff <aidan.bindoff@utas.edu.au>

Diff between smoothbp versions 0.2.7 dated 2026-06-16 and 0.2.8 dated 2026-08-28

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Package quickSentiment updated to version 0.3.6 with previous version 0.3.5 dated 2026-07-13

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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Package mobdb updated to version 1.0.3 with previous version 1.0.1 dated 2026-08-07

Title: Access the 'Mobility Database' API to Discover Transit Feeds
Description: Search and access transit feed data from the 'Mobility Database' <https://mobilitydatabase.org>. The package wraps the 'Mobility Database' API, allowing users to discover 'GTFS' (General Transit Feed Specification) and 'GBFS' (General Bikeshare Feed Specification) feeds from agencies worldwide. Functions are designed to integrate seamlessly with packages like 'tidytransit' and 'gtfstools' for subsequent feed analysis.
Author: Jason Adle [aut, cre, cph]
Maintainer: Jason Adle <developer@jasonadle.dev>

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Package hydrogeofetch updated to version 2.0.3 with previous version 2.0.2 dated 2026-08-28

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package hexDensity updated to version 1.4.11 with previous version 1.4.10 dated 2025-09-28

Title: Fast Kernel Density Estimation with Hexagonal Grid
Description: Kernel density estimation with hexagonal grid for bivariate data. Hexagonal grid has many beneficial properties like equidistant neighbours and less edge bias, making it better for spatial analyses than the more commonly used rectangular grid. Carr, D. B. et al. (1987) <doi:10.2307/2289444>. Diggle, P. J. (2010) <doi:10.1201/9781420072884>. Hill, B. (2017) <https://blog.bruce-hill.com/meandering-triangles>. Jones, M. C. (1993) <doi:10.1007/BF00147776>.
Author: Quoc Hoang Nguyen [aut, cre] , Yunshun Chen [aut] , Dan Carr [ctb], binning routine ported by Nicholas Lewin-Koh [ctb], Martin Maechler [ctb]
Maintainer: Quoc Hoang Nguyen <nguyen.q@wehi.edu.au>

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Package gpciLindApproxProgII updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-26

Title: Lindley Approximation for Capability Indices under Progressive Censoring
Description: Implements Bayesian parameter and Generalized Process Capability Indices (GPCIs) estimation using the Lindley approximation method (Lindley, 1980 <doi:10.2307/2345271>) under progressive Type-II censored data (Balakrishnan & Aggarwala, 2000 <doi:10.1007/978-1-4612-1334-5>). Evaluates point estimates and posterior expectations for classical and non-normal capability indices, including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019 <doi:10.1007/s13198-019-00789-7>), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family (Vannman, 1995 <doi:10.1111/j.1467-9574.1995.tb01472.x>). Calculates point estimates, bias, mea [...truncated...]
Author: Shikhar Tyagi [aut, cre] , Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>

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Package extrafrail updated to version 1.15 with previous version 1.14 dated 2025-08-24

Title: Estimation and Additional Tools for Alternative Shared Frailty Models
Description: Provide estimation and data generation tools for new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders, truncated normal, mixture of inverse Gaussian, mixture of Birnbaum-Saunders, generalized exponential, Jorgensen-Seshadri-Whitmore, weighted Akash, weighted Shanker and weighted Sujatha as the distribution for frailty terms. For the basal model, it is considered a parametric approach based on the exponential, Weibull and the piecewise exponential distributions as well as a semiparametric approach. For details, see Gallardo et al. (2024) <doi:10.1007/s11222-024-10458-w>, Gallardo et al. (2025) <doi:10.1002/bimj.70044>, Kiprotich et al. (2025) <doi:10.1177/09622802251338984>, Gallardo et al. (2025) <doi:10.1038/s41598-025-15903-y>, Kiprotich et al. (2026) <doi:10.1080/00949655.2025.2584734 and Mohammadi et al. (2026).
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], John Santibanez [ctb], Gilbert Kiprotich [ctb], Pedro Ramos [ctb], Thomas Augustin [ctb], Zohreh Mohammadi [ctb], Paulo Ferreira [ctb], Gerson Primo [ctb]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package eq5d updated to version 0.17.0 with previous version 0.16.3 dated 2026-03-30

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a widely used health-related quality-of-life instrument developed by the EuroQol Group and used in the clinical and economic evaluation of health care. Health is described using five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) rated on either a three-level (EQ-5D-3L and EQ-5D-Y-3L) or five-level (EQ-5D-5L) scale. Responses can be reported as EQ-5D health states or converted to utility index scores using country-specific value sets. The package provides methods for the valuation, reporting and analysis of EQ-5D data. Utility index scores can be calculated for EQ-5D-3L, EQ-5D-5L and EQ-5D-Y-3L data using a wide range of value sets and mapping approaches. Functionality is also provided for descriptive-system reporting, severity and distributional summaries, informativity measures, health-state distribution analysis, longitudinal change analysis, probability of superiority analysis and Health Profile Grid visualisation. Methods descr [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Package CMTFtoolbox readmission to version 1.1.1 with previous version 1.0.1 dated 2025-08-22

Title: Create (Advanced) Coupled Matrix and Tensor Factorization Models
Description: Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using 'ACMTF_modelSelection()' and 'ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <roel@simula.no>

This is a re-admission after prior archival of version 1.0.1 dated 2025-08-22

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Package bayesics updated to version 3.0.2 with previous version 3.0.1 dated 2026-08-26

Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in <doi:10.1080/01621459.1995.10476635>. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for d [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>

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Package accelEE readmission to version 0.3.2 with previous version 0.3.1 dated 2026-05-12

Title: Predict Energy Expenditure from Accelerometry Data
Description: Simplifies the application of various energy expenditure models. The package is intended as a hub that brings together methods from a variety of other, themed packages such as 'Sojourn' and 'TwoRegression'. Several methods are supported locally as well, including the linear methods of Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289> and the non-linear adaptation by Ellingson et al. (2017) <doi:10.1088/1361-6579/aa6d00>. The package can combine output from different methods and produce standardized output in a range of units.
Author: Paul R. Hibbing [aut, cre], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2026-05-12

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Package VizModules updated to version 0.4.0 with previous version 0.3.0 dated 2026-07-27

Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>

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 253 files changed, 6749 insertions(+), 2275 deletions(-)

More information about VizModules at CRAN
Permanent link

Package textrar updated to version 0.9.0 with previous version 0.8.0 dated 2024-04-23

Title: Interface to 'TexTra' from R
Description: A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, a web service for translating texts between different languages. 'TexTra' API account is required to use the service.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

Diff between textrar versions 0.8.0 dated 2024-04-23 and 0.9.0 dated 2026-08-28

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 textrar-0.9.0/textrar/LICENSE               |    4 
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Package geoprofiler updated to version 0.0.4 with previous version 0.0.3 dated 2025-12-11

Title: Perpendicular Line Transects for Geosciences
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package rqualify updated to version 1.1.0 with previous version 1.0.2 dated 2026-04-16

Title: Qualification of R Software Installations
Description: Qualify R software installations using R Markdown as the foundation for the Installation Qualification (IQ) and Operational Qualification (OQ) when used in environments (such as regulated clinical trials) where such processes may be required.
Author: Donnie Musgrove [aut, cre], Graeme L. Hickey [aut] , Marc Schwartz [aut] , Alan Haynes [ctb], Bryan Martin [ctb], Medtronic Inc. [cph]
Maintainer: Donnie Musgrove <donniemusgrove@gmail.com>

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Package projoint updated to version 1.1.4 with previous version 1.1.3 dated 2026-07-31

Title: Conjoint Analysis with Reliability Correction and Visualization
Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
Author: Yusaku Horiuchi [aut, cre] , Aaron Kaufman [aut] , Gary King [aut]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>

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Package LogicForest updated to version 2.1.5 with previous version 2.1.4 dated 2026-04-03

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

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Package causalDT updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-03

Title: Causal Distillation Trees
Description: Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.
Author: Tiffany Tang [aut, cre] , Melody Huang [aut], Ana Kenney [aut]
Maintainer: Tiffany Tang <ttang4@nd.edu>

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Package tripaccess updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-04

Title: American Travel Behavior and Access Datasets
Description: Subsets of data from the National Household Travel Survey 2017. It includes personal trips, mobility, demographic, and household information. It is suitable for data visualization, data wrangling, joining datasets, exploratory data analysis, group comparisons, simple linear regression, categorical data analysis, and data ethics discussion in data science and statistics classes.
Author: Shiya Cao [aut, cre], Amber Zhang [ctb], Anna Zhao [ctb], Smith College [cph]
Maintainer: Shiya Cao <scao53@smith.edu>

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Package exdqlm updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-09

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package spCF updated to version 0.2.1 with previous version 0.2.0 dated 2026-08-04

Title: Coarse-to-Fine Spatial and Spatio-Temporal Modeling
Description: Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut], Jose Luis Blanco-Claraco [ctb, cph] ), Marius Muja [cph] , David G. Lowe [cph]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package rwavelet updated to version 0.4.2 with previous version 0.4.1 dated 2020-12-12

Title: Wavelet Analysis
Description: Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression, denoising/regression or clustering. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram.
Author: Fabien Navarro [aut, cre], Christophe Chesneau [aut]
Maintainer: Fabien Navarro <fnavarro@math.cnrs.fr>

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Package RMVL updated to version 1.1.0.4 with previous version 1.1.0.3 dated 2026-04-13

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

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Package mikropml updated to version 1.7.1 with previous version 1.7.0 dated 2025-10-28

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Beguem Topcuoglu [aut] , Zena Lapp [aut] , Kelly Sovacool [aut, cre] , Evan Snitkin [aut] , Jenna Wiens [aut] , Patrick Schloss [aut] , Nick Lesniak [ctb] , Courtney Armour [ctb] , Sarah Lucas [ctb] , Tuomas Borman [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package melodi updated to version 1.1.2 with previous version 1.1.0 dated 2026-07-29

Title: Download Insee French Institute of Statistics Open Data
Description: A wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.
Author: Cedric Bobinec [aut, cre], Christophe Goudeau [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Cedric Bobinec <cedric.bobinec@insee.fr>

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Package FinanceGraphs updated to version 0.9.21 with previous version 0.9.2 dated 2026-08-21

Title: Flexible Graphs for Analysis of Financial Data and Time Series
Description: Flexible wrappers around R graphics modules 'dygraphs' <https://dygraphs.com/> and 'ggplot2' <https://ggplot2.tidyverse.org/> to visualize data commonly found in Financial Studies, with an emphasis on time series. Interactive time series plots include multiple options for incorporating external data such as forecasts and events. Other static plots useful for time series data include an intuitive and generic scatter plotter, a boxplot generator suitable for multiple time series, and event study plotters for time series analysis around sets of dates.
Author: Derek Holmes [aut, cre, cph]
Maintainer: Derek Holmes <derek@derekholmes.com>

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Package fastml updated to version 0.7.10 with previous version 0.7.9 dated 2026-08-19

Title: Guarded Resampling Workflows for Leakage-Aware Machine Learning in R
Description: Provides a guarded resampling workflow for training and evaluating machine-learning models. When the guarded resampling path is used, preprocessing and model fitting are re-estimated within each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight AutoML-style workflow by automating model training, resampling, and tuning across multiple algorithms, while keeping evaluation design explicit and user-controlled.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package ctrdata updated to version 1.26.3 with previous version 1.26.2 dated 2026-07-12

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<https://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored as JSON in a database ('PostgreSQL', 'SQLite', 'DuckDB', 'MongoDB' or 'MariaDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial analysis concepts canonically across registers, identify deduplicated records across registers, easily find and extract variables (fields) of interest e [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package CarletonStats updated to version 2.3 with previous version 2.2 dated 2023-08-22

Title: Functions for Statistics Classes at Carleton College
Description: Includes commands for bootstrapping and permutation tests, a command for created grouped bar plots, and a demo of the quantile-normal plot for data drawn from different distributions.
Author: Laura Chihara [aut], Adam Loy [aut, cre]
Maintainer: Adam Loy <aloy@carleton.edu>

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Package rstudiothemes updated to version 1.2.0 with previous version 1.1.2 dated 2026-06-19

Title: Create and Install Custom 'RStudio' Themes
Description: Create, convert and install custom 'RStudio' editor themes from 'Visual Studio Code', 'Positron' and 'TextMate' theme files. Convert themes between 'TextMate', 'Visual Studio Code' and 'Positron' formats and install bundled ports of popular themes for use in 'RStudio'. Inspect theme files as tabular data for custom conversion workflows.
Author: Diego Hernangomez [aut, cre, cph] , Garrick Aden-Buie [cph] function)
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between rstudiothemes versions 1.1.2 dated 2026-06-19 and 1.2.0 dated 2026-08-28

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Package nparLD updated to version 2.3.1 with previous version 2.3.0 dated 2026-08-22

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package bsitar updated to version 0.4.0 with previous version 0.3.3 dated 2026-03-25

Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. Unlike the 'sitar' package which allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this appr [...truncated...]
Author: Satpal Sandhu [aut, cre, cph]
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>

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Package apisensr updated to version 2.0.1 with previous version 2.0.0 dated 2025-05-16

Title: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results
Description: API for using 'episensr', Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. See <https://cran.r-project.org/package=episensr>.
Author: Denis Haine [aut, cre]
Maintainer: Denis Haine <cheval@zaclys.net>

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Package TmCalculator updated to version 1.0.9 with previous version 1.0.8 dated 2026-07-29

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Twenty-seven nearest-neighbor parameter sets are provided, covering DNA, RNA and RNA/DNA hybrid duplexes. These include se [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package RCtest updated to version 1.2 with previous version 1.1 dated 2026-08-20

Title: Reality Check and Predictive Ability Tests for Forecast Evaluation
Description: Implements a comprehensive suite of statistical tests for evaluating the accuracy of forecasting models against a benchmark. The package is grounded in the reality check framework of White (2000) <doi:10.1111/1468-0262.00152>, extended by Hansen (2005) <doi:10.1198/073500105000000063> for Superior Predictive Ability (SPA), Giacomini & White (2006) <doi:10.1111/j.1468-0262.2006.00718.x> for Conditional Predictive Ability (CPA), and Corradi & Swanson (2006) <doi:10.1016/j.jeconom.2005.07.026> for predictive density evaluation via the Kullback-Leibler Information Criterion (KLIC) and ZP Quantile Loss test, the Continuous Ranked Probability Score (CRPS) (Gneiting & Raftery, 2007) <doi:10.1198/016214506000001437>, coverage tests (Kupiec, 1995) <doi:10.3905/jod.1995.407942>, HAC covariance estimation (Newey & West, 1987) <doi:10.2307/1913610>, and Moving Block Bootstrap resampling (Kunsch, 1989) <doi:10.1214/aos/1176347265>.
Author: Joanna Jedrzejewska [aut, cre] , Krzysztof Drachal [ctb]
Maintainer: Joanna Jedrzejewska <j.jedrzejewska3@uw.edu.pl>

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Package PRA readmission to version 0.6.0 with previous version 0.4.0 dated 2026-04-08

Title: Project Risk Analysis
Description: Data analysis for Project Risk Management via the Second Moment Method, Monte Carlo Simulation, Contingency Analysis, Sensitivity Analysis, Earned Value Management, Learning Curves, Bayesian Methods, and more.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package manynet updated to version 2.3.1 with previous version 2.2.3 dated 2026-07-30

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Tomas Diviak [ctb], Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package glyparse updated to version 0.8.1 with previous version 0.7.1 dated 2026-07-08

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, KCF, and GlycoWorkbench formats. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.7.1 dated 2026-07-08 and 0.8.1 dated 2026-08-28

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Package epidatr updated to version 1.3.0 with previous version 1.2.4 dated 2026-06-02

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Nat DeFries [ctb], Alex Reinhart [ctb], Daniel J. McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

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Package DSIR readmission to version 0.9.0 with previous version 0.8.0 dated 2026-07-02

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 World 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) OData API <https://ghoapi.azureedge.net/api/> 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>

This is a re-admission after prior archival of version 0.8.0 dated 2026-07-02

Diff between DSIR versions 0.8.0 dated 2026-07-02 and 0.9.0 dated 2026-08-28

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Package ctgimme updated to version 0.1.0 with previous version 0.0.12 dated 2026-08-24

Title: Continuous-Time Subgrouping with GIMME
Description: Estimates group-, subgroup-, and individual-level dynamic structures from multivariate intensive longitudinal data using continuous-time state-space models. The subgrouping procedure combines iterative shared-path searches with recurrent-evidence feature screening and partitioning around medoids. The continuous-time group iterative multiple model estimation method is described in Park et al. (2025) <doi:10.1080/10705511.2024.2429544>.
Author: Jonathan J. Park [aut, cre, cph] , Nathan Xin Mills [aut, ctb]
Maintainer: Jonathan J. Park <imJPark@UCDavis.edu>

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Package countryatlas updated to version 2.0.1 with previous version 2.0.0 dated 2026-08-25

Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Description: A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key. It generalises a one-call, map-ready table that stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators and the 'countrycode' Rosetta stone; exposes the join machinery for the user's own data; ships curated reference data (metadata, group memberships, an indicator catalogue, flags and currencies); adds analysis helpers (per-capita, regional roll-ups, ranking, inequality and convergence statistics); and turns one hand-drawn choropleth into a full vocabulary of projected, area-honest maps (binned and quantile choropleths, proportional-symbol, spike, bivariate, cartogram, tile-grid, flow, small-multiple, animated, globe and interactive), and can hand its curated, ISO-reconciled tables to 'ggsql' [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package TreeMineR updated to version 1.1.1 with previous version 1.1.0 dated 2026-08-25

Title: Tree-Based Scan Statistics
Description: Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.
Author: Joshua P. Entrop [aut, cre, cph] , Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

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Package scDHA updated to version 1.2.4 with previous version 1.2.3 dated 2025-09-23

Title: Single-Cell Decomposition using Hierarchical Autoencoder
Description: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
Author: Ha Nguyen [cre], Duc Tran [aut], Tin Nguyen [fnd], Hao Chen [ctb]
Maintainer: Ha Nguyen <hvn0006@wayne.edu>

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Package hydrogeofetch updated to version 2.0.2 with previous version 2.0.1 dated 2026-08-21

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package episensr updated to version 2.2.0 with previous version 2.1.0 dated 2025-11-04

Title: Basic Sensitivity Analysis of Epidemiological Results
Description: Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Fox M.P., MacLehose R.F., and Lash T.L. "Applying Quantitative Bias Analysis to Epidemiologic Data, second ed.", ('Springer', 2021).
Author: Denis Haine [aut, cre]
Maintainer: Denis Haine <cheval@zaclys.net>

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Package dann updated to version 1.3.0 with previous version 1.2.0 dated 2026-08-22

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. The neighborhood is elongated along class boundaries and shrunk in the orthogonal direction. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package bookdown updated to version 0.48 with previous version 0.47 dated 2026-06-16

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bbk updated to version 0.13.0 with previous version 0.12.0 dated 2026-07-10

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco Central do Brasil' (BCB), 'Banco de España' (BdE), 'Banco de México' (Banxico), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Israel' (BoI), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package scov updated to version 2.0.2 with previous version 2.0.0 dated 2026-03-18

Title: Structured Covariances Estimators for Pairwise and Spatial Covariates
Description: Implements estimators for structured covariance matrices in the presence of pairwise and spatial covariates. Metodiev, Perrot-Dockès, Ouadah, Fosdick, Robin, Latouche & Raftery (2026) <doi:10.1214/26-AOAS2183>.
Author: Martin Metodiev [aut, cre, cph] , Marie Perrot-Dockes [aut], Stephane Robin [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>

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Package modEvA updated to version 3.46 with previous version 3.45 dated 2026-05-21

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Carlos C. Ra [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package lnmCluster updated to version 1.0.0 with previous version 0.3.1 dated 2022-07-20

Title: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
Description: An implementation of logistic normal multinomial (LNM) clustering. It is an extension of LNM mixture model proposed by Fang and Subedi (2020) <doi:10.1038/s41598-023-41318-8>, and is designed for clustering compositional data. The package includes 3 extended models: LNM Factor Analyzer (LNM-FA), LNM Bicluster Mixture Model (LNM-BMM) and Penalized LNM Factor Analyzer (LNM-FA). There are several advantages of LNM models: 1. LNM provides more flexible covariance structure; 2. Factor analyzer can reduce the number of parameters to estimate; 3. Bicluster can simultaneously cluster subjects and taxa, and provides significant biological insights; 4. Penalty term allows sparse estimation in the covariance matrix. Details for model assumptions and interpretation can be found in papers: Tu and Subedi (2023) <doi:10.1007/s00357-023-09452-0> and Tu and Subedi (2022) <doi:10.3329/jsr.v56i2.67469>. It also include a Biclustering algorithm that applies to multivariate normal data: T [...truncated...]
Author: Wangshu Tu [aut, cre], Sanjeena Subedi [aut], Yuan Fang [aut]
Maintainer: Wangshu Tu <wangshu.tu@carleton.ca>

Diff between lnmCluster versions 0.3.1 dated 2022-07-20 and 1.0.0 dated 2026-08-28

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Package fuzzySim updated to version 4.59 with previous version 4.54 dated 2026-05-21

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package steinsampling updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-21

Title: Kernelized Stein Discrepancy for Goodness-of-Fit Tests and Stein Sampling
Description: Provides Stein-discrepancy goodness-of-fit tests and Stein-method-based sampling tools. The tests include kernel Stein discrepancy U- and V-statistics following Liu et al. (2016) <doi:10.48550/arXiv.1602.03253> and Chwialkowski et al. (2016) <doi:10.48550/arXiv.1602.02964>, plus the finite set Stein discrepancy test of Jitkrittum et al. (2017) <doi:10.48550/arXiv.1705.07673>. The sampling tools include Stein thinning, Stein Points, Stein Point Markov chain Monte Carlo, and Stein variational gradient descent following Riabiz et al. (2022) <doi:10.48550/arXiv.2005.03952>, Chen et al. (2018) <doi:10.48550/arXiv.1803.10161>, Chen et al. (2019) <doi:10.48550/arXiv.1905.03673>, and Liu and Wang (2016) <doi:10.48550/arXiv.1608.04471>. Gaussian mixture utilities are included for constructing example targets, simulation, density evaluation, and score callbacks.
Author: Junhao Gao [aut, cre], Ery Arias-Castro [aut]
Maintainer: Junhao Gao <jug049@ucsd.edu>

Diff between steinsampling versions 0.1.0 dated 2026-07-21 and 0.1.1 dated 2026-08-28

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Package performance updated to version 0.18.0 with previous version 0.17.1 dated 2026-06-30

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between performance versions 0.17.1 dated 2026-06-30 and 0.18.0 dated 2026-08-28

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Package corels updated to version 0.0.6 with previous version 0.0.5 dated 2024-12-04

Title: R Binding for the 'Certifiably Optimal RulE ListS (Corels)' Learner
Description: The 'Certifiably Optimal RulE ListS (Corels)' learner by Angelino et al described in <doi:10.48550/arXiv.1704.01701> provides interpretable decision rules with an optimality guarantee, and is made available to R with this package. See the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Dirk Eddelbuettel [aut, cre] , Nicholas Larus-Stone [aut] , Elaine Angelino [aut] , Daniel Alabi [ctb] , Cynthia Rudin [ctb] , Margo Seltzer [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between corels versions 0.0.5 dated 2024-12-04 and 0.0.6 dated 2026-08-28

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Package bifactory updated to version 0.5.2 with previous version 0.5.1 dated 2026-07-11

Title: (Bifactor) ESEM with Continuous (MLR) or Ordered (WLSMV) Data
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordered-categorical data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordered-categorical ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordered B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and t [...truncated...]
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>

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Package npmv updated to version 2.5.0 with previous version 2.4.1 dated 2025-01-07

Title: Nonparametric Comparison of Multivariate Samples
Description: Performs analysis of one-way multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks' Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the package compares the multivariate distributions for a single explanatory variable. The comparison is also performed using a permutation test for each of the four test statistics. The package also performs an all-subsets algorithm regarding variables and regarding factor levels.
Author: Woodrow Burchett [aut], Amanda Ellis [aut], Wanda Lauth [aut, cre]
Maintainer: Wanda Lauth <wanda.lauth@pmu.ac.at>

Diff between npmv versions 2.4.1 dated 2025-01-07 and 2.5.0 dated 2026-08-28

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Package modelbased updated to version 0.17.0 with previous version 0.16.0 dated 2026-06-30

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Remi Theriault [aut]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

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Package ggtext updated to version 0.2.0 with previous version 0.1.2 dated 2022-09-16

Title: Improved Text Rendering Support for 'ggplot2'
Description: A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.
Author: Claus O. Wilke [aut] , Brenton M. Wiernik [aut, cre]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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Package CopernicusMarine updated to version 0.4.9 with previous version 0.4.8 dated 2026-07-20

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package CopernicusDataspace updated to version 0.0.5 with previous version 0.0.4 dated 2026-07-20

Title: Search Download and Handle Data from the Copernicus Data Space Ecosystem
Description: The Copernicus Data Space Ecosystem, is an open ecosystem that provides free instant access to a wide range of data and services from the Copernicus Sentinel missions and more on our planet’s land, oceans and atmosphere. This package provides entry points to several APIs allowing users to access the data directly in R.
Author: Pepijn de Vries [aut, cre] , Alicia Hamer [rtm] , LVVN [fnd] , WMR [ctr]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package compareGroups updated to version 4.10.3 with previous version 4.10.2 dated 2026-01-07

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] , Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

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Package arakno updated to version 1.3.3 with previous version 1.3.2 dated 2026-04-20

Title: ARAchnid KNowledge Online
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pmcardoso@ciencias.ulisboa.pt>

Diff between arakno versions 1.3.2 dated 2026-04-20 and 1.3.3 dated 2026-08-28

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

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

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

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

More information about VanillaCalendar at CRAN
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Package uaparserjs updated to version 0.4.1 with previous version 0.4.0 dated 2026-07-02

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

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

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

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

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

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

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

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

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

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

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Package fntl updated to version 0.1.3.2 with previous version 0.1.3.1 dated 2026-07-30

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

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

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

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

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Permanent link

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

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

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

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Permanent link

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

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

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

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

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

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

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

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

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Permanent link

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

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

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

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

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

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

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Package lares updated to version 5.4.1 with previous version 5.4.0 dated 2026-04-23

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

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

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

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

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

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

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

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

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

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

Diff between climniche versions 0.0.1 dated 2026-05-29 and 0.3.8 dated 2026-08-28

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 climniche-0.3.8/climniche/R/utils.R                                                                       |  647 +++++++
 climniche-0.3.8/climniche/R/visualise.R                                                                   |  605 ++++---
 climniche-0.3.8/climniche/R/zzz.R                                                                         |   27 
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Package WeightedROC updated to version 2026.8.27 with previous version 2020.1.31 dated 2020-02-01

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

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

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

Diff between tongfen versions 0.3.7 dated 2026-06-05 and 0.3.8 dated 2026-08-28

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

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

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

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

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

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

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

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

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

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

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

Diff between runExamplesWrapper versions 1.1 dated 2026-01-16 and 2.0 dated 2026-08-28

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

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

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

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

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

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

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

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

Diff between pagedown versions 0.24 dated 2026-04-09 and 0.25 dated 2026-08-28

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

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

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

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

Diff between forestly versions 0.1.5 dated 2026-06-12 and 0.1.6 dated 2026-08-28

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

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

Diff between fdm2id versions 0.9.9 dated 2023-06-12 and 1.0.0 dated 2026-08-28

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

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

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

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

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

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

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

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

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

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

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

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

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

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