Mon, 24 Aug 2026

Package LMERConvenienceFunctions updated to version 3.2 with previous version 3.0 dated 2020-10-06

Title: Model Selection and Post-Hoc Analysis for (G)LMER Models
Description: The main function of the package is to perform backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization. The data to run examples is contained in package LCF_data.
Author: Antoine Tremblay [aut, cre], Johannes Ransijn [ctb]
Maintainer: Antoine Tremblay <trea26@gmail.com>

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Package Rapp updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-11

Title: Easily Build Command Line Applications
Description: Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package Elja updated to version 1.0.1 with previous version 1.0.0 dated 2023-07-03

Title: Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach
Description: Tool for Environment-Wide Association Studies (EnvWAS / EWAS) which are repeated analysis. It includes three functions. One function for linear regression, a second for logistic regression and a last one for generalized linear models.
Author: Marwan El Homsi [aut, cre, cph] , Isabella Annesi-Maesano [ctb, ths, fnd]
Maintainer: Marwan El Homsi <marwan_eh@outlook.fr>

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Package drmeta updated to version 0.2.2 with previous version 0.1.0 dated 2026-04-08

Title: Design-Indexed Location-Scale Meta-Analysis
Description: Fits constrained and unrestricted meta-analytic location-scale models in which residual between-study heterogeneity is modeled as an exponential function of a prespecified design-robustness score. The package supports maximum-likelihood (ML) and restricted maximum-likelihood (REML) estimation, location moderators, the conventional random-effects model as a nested special case, exact estimation at the nonnegative scale-gradient boundary, design-indexed heterogeneity summaries, scale-attenuation measures, prediction of fitted heterogeneity, leave-one-out influence diagnostics, and parametric-bootstrap inference for the scale gradient. Because the scale-gradient null lies on the boundary of the constrained parameter space, standard chi-square likelihood-ratio references do not apply (Self and Liang, 1987, <doi:10.1080/01621459.1987.10478472>). The general location-scale parent model is described in Viechtbauer and Lopez-Lopez (2022, <doi:10.1002/jrsm.1562>). A scale model rewe [...truncated...]
Author: Subir Hait [aut, cre, cph]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Package wehoop updated to version 3.0.0 with previous version 2.1.0 dated 2024-07-21

Title: Access Women's Basketball Play by Play Data
Description: A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.
Author: Saiem Gilani [aut, cre, cph] , Geoffery Hutchinson [aut]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

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Package Tplyr updated to version 1.4.1 with previous version 1.4.0 dated 2026-08-23

Title: A Traceability Focused Grammar of Clinical Data Summary
Description: A traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.
Author: Eli Miller [aut] , Mike Stackhouse [aut, cre] , Ashley Tarasiewicz [aut], Nathan Kosiba [ctb] , Sadchla Mascary [ctb], Andrew Bates [ctb], Shiyu Chen [ctb], Oleksii Mikryukov [ctb], Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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

Title: Semi-Supervised Ensemble Learning
Description: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>

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Package SimplicialComplex updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-16

Title: Topological Data Analysis: Simplicial Complex
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes, including Vietoris-Rips, Cech, Alpha, Delaunay, Witness, flood, and (via a Freudenthal triangulation) cubical complexes for grid and image data. It also implements persistent homology, from building filtrations (via a single build_filtration() entry point covering all of the above) to computing persistence diagrams, persistence landscapes, and Wasserstein/bottleneck distances between diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y>, Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>, and Otter, Porter, Tillmann, Grindrod and Harrington (2017) <doi:10.1140/e [...truncated...]
Author: ChiChien Wang [aut, cre, trl]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

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Package SetTest updated to version 0.3.1 with previous version 0.3.0 dated 2024-07-14

Title: Group Testing Procedures for Signal Detection and Goodness-of-Fit
Description: It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see [1]Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and power of optimal signal-detection statistics in finite case", IEEE Transactions on Signal Processing (2020) 68, 1021-1033; [2] Hong Zhang and Zhey [...truncated...]
Author: Hong Zhang [aut], Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>

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Package rpivotTable readmission to version 0.4.0 with previous version 0.3.0 dated 2018-01-30

Title: Build Powerful Pivot Tables and Dynamically Slice & Dice your Data
Description: Build powerful pivot tables (aka Pivot Grid, Pivot Chart, Cross-Tab) and dynamically slice & dice / drag 'n' drop your data. 'rpivotTable' is a wrapper of 'pivottable', a powerful open-source Pivot Table library implemented in 'JavaScript' by Nicolas Kruchten. Aligned to 'pivottable' v2.19.0.
Author: Enzo Martoglio [aut], Nicolas Kruchten [ctb, cph], Nagarajan Chinnasamy [ctb, cph], Kenton Russell [ctb], Lily Clements [cre]
Maintainer: Lily Clements <lily@idems.international>

This is a re-admission after prior archival of version 0.3.0 dated 2018-01-30

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Package Qapprox updated to version 0.2.1 with previous version 0.2.0 dated 2021-07-07

Title: Approximation to the Survival Functions of Quadratic Forms of Gaussian Variables
Description: Calculates the right-tail probability of quadratic forms of Gaussian variables using the skewness-kurtosis ratio matching method, modified Liu-Tang-Zhang method and Satterthwaite-Welch method. The technical details can be found in Hong Zhang, Judong Shen and Zheyang Wu (2022) "A fast and accurate approximation to the distributions of quadratic forms of Gaussian variables" <doi:10.1080/10618600.2021.2000423>.
Author: Hong Zhang [aut], Judong Shen [aut], Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>

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Package mrangr updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-25

Title: Mechanistic Metacommunity Simulator
Description: A forward simulator for generating synthetic metacommunity data. As an in silico experimental platform, it enables researchers to simulate community shifts, test theoretical frameworks, and benchmark analytical algorithms prior to empirical application. Key capabilities include mechanistic simulations driven by demography, dispersal, and interactions, GIS interoperability via the 'terra' package for dynamic environments, and a virtual ecologist module that simulates imperfect detection and survey errors to mimic real-world biodiversity data.
Author: Katarzyna Markowska [aut, cre, cph], Lechoslaw Kuczynski [aut, cph]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>

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 mrangr-1.0.2/mrangr/NEWS.md                                                                                |    9 
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More information about mrangr at CRAN
Permanent link

Package ggchangepoint updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-26

Title: Combines Changepoint Analysis with 'ggplot2'
Description: A unified, tidy, 'ggplot2'-native interface to changepoint detection in R. Provides the 'ggcpt' S3 result class with 'broom'-style tidy/glance/augment methods, 'autoplot()' (with confidence intervals, fitted signals, and multivariate facets), composable geoms ('geom_changepoint()', 'geom_cpt_segment()', 'geom_cpt_ci()', 'stat_changepoint()'), and a 'cpt_detect()' dispatcher covering over thirty methods with introspection via 'cpt_methods()': penalised/optimal partitioning (PELT, BinSeg, SegNeigh, AMOC, FPOP, CROPS penalty paths, 'fastcpd', change-in-slope via 'cpop'), multiscale and search methods (WBS, WBS2, NOT, MOSUM, Isolate-Detect, TGUH, SMUCE/HSMUCE with confidence intervals), nonparametric and kernel methods ('changepoint.np', 'ecp', 'kcpRS', 'CptNonPar', sequential 'cpm', self-normalisation via 'SNSeg'), Bayesian methods ('bcp', online 'ocp', 'Rbeast'), high-dimensional and multivariate methods ('InspectChangepoint', 'ocd', 'changepoint.geo'), regression breaks ('strucchange', [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

Diff between ggchangepoint versions 0.3.0 dated 2026-06-26 and 0.4.0 dated 2026-08-24

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Package GFisher updated to version 0.2.1 with previous version 0.2.0 dated 2022-03-01

Title: Generalized Fisher's Combination Tests Under Dependence
Description: Accurate and computationally efficient p-value calculation methods for a general family of Fisher type statistics (GFisher). The GFisher covers Fisher's combination, Good's statistic, Lancaster's statistic, weighted Z-score combination, etc. It allows a flexible weighting scheme, as well as an omnibus procedure that automatically adapts proper weights and degrees of freedom to a given data. The new p-value calculation methods are based on novel ideas of moment-ratio matching and joint-distribution approximation. The technical details can be found in Hong Zhang and Zheyang Wu (2022) <doi:10.1111/biom.13634>.
Author: Hong Zhang [aut], Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>

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Package f1pits updated to version 1.3.2 with previous version 1.3.1 dated 2026-05-20

Title: F1 Pit Stop Datasets
Description: Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2018 or higher). It also includes a function to visualize pit stop performance.
Author: Jose Jordan-Soria [aut, cre]
Maintainer: Jose Jordan-Soria <jjose.jjordan@gmail.com>

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Package dataganger updated to version 0.8.2 with previous version 0.8.0 dated 2026-08-21

Title: Synthetic Data Doubles for Safer Prototyping
Description: Creates synthetic data doubles from real datasets for prototyping, teaching, 'shiny' development, and AI-assisted programming. Provides data profiling, role detection, configurable synthesis, utility comparison, and disclosure-risk warnings. Synthetic outputs are intended to reduce direct disclosure risk, not to guarantee privacy.
Author: Lennon Li [aut, cre, cph]
Maintainer: Lennon Li <yeli@biostats.ai>

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Package autotesteR (with last version 0.1.12) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-05-18 0.1.12
2025-09-09 0.1.7

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Package xiacf updated to version 0.6.5 with previous version 0.6.2 dated 2026-06-02

Title: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee's Xi
Description: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the univariate Xi-Autocorrelation Function (Xi-ACF), directional Xi-Cross-Correlation Function (Xi-CCF), and multivariate network evaluation matrices. The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) and Multivariate IAAFT (MIAAFT) surrogate data with strict Family-Wise Error Rate ('FWER') control via Max-statistic approaches. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>, surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>, and local structural identification by Watanabe (2026) <doi:10.2139/ssrn.6829431>.
Author: Yasunori Watanabe [aut, cre]
Maintainer: Yasunori Watanabe <watanabe.yasunori@outlook.com>

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Package tidyAML updated to version 0.0.8 with previous version 0.0.6 dated 2025-05-12

Title: Automatic Machine Learning with 'tidymodels'
Description: The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package howManyImputations updated to version 0.2.6 with previous version 0.2.5 dated 2024-03-15

Title: Calculate How many Imputations are Needed for Multiple Imputation
Description: When performing multiple imputations, while 5-10 imputations are sufficient for obtaining point estimates, a larger number of imputations are needed for proper standard error estimates. This package allows you to calculate how many imputations are needed, following the work of von Hippel (2020) <doi:10.1177/0049124117747303>.
Author: Josh Errickson [aut, cre]
Maintainer: Josh Errickson <jerrick@umich.edu>

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Package ggtaichi updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-24

Title: Taichi-Diagram Visualization for Two Data Sources
Description: A data visualization design that compares two (usually on a par with each other) data sources on one grid of taichi (yin-yang) diagrams, where the two interlocking fish of every symbol are filled by the two sources, while inheriting 'ggplot2' features.
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package spant updated to version 4.4.0 with previous version 4.3.0 dated 2026-07-07

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package spacetime updated to version 1.3-4 with previous version 1.3-3 dated 2025-02-13

Title: Classes and Methods for Spatio-Temporal Data
Description: Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [ctb], Tom Gottfried [ctb], Robert J. Hijmans [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package riskscores updated to version 1.3.0 with previous version 1.2.3 dated 2025-07-28

Title: Optimized Integer Risk Score Models
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Author: Hannah Eglinton [aut, cre], Seehanah Tang [aut, aut], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>

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Package rasterpic updated to version 1.0.0 with previous version 0.5.1 dated 2026-06-23

Title: Convert Images to Spatially Referenced 'SpatRaster' Objects
Description: Convert digital images to spatially referenced 'SpatRaster' objects, as defined by the 'terra' package, using coordinates from supported spatial input classes. Supported inputs include numeric coordinate vectors and objects from the 'sf', 'terra' and 'stars' packages. The main function is an S3 generic, allowing other packages to extend support to additional spatial classes.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package myTAI updated to version 2.3.7 with previous version 2.3.6 dated 2026-05-28

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.
Author: Hajk-Georg Drost [aut, cre] , Stefan Manolache [aut, ctb] , Jaruwatana Sodai Lotharukpong [aut, ctb] , Nikola Kalabova [aut, ctb] , Filipa Martins Costa [aut, ctb], Kristian K Ullrich [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

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Package logger updated to version 0.4.3 with previous version 0.4.2 dated 2026-05-10

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Author: Gergely Daroczi [aut, cre] , Hadley Wickham [aut] , Jonathan Carroll [ctb] , Spare Cores [fnd], System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package imfweo updated to version 0.2.0 with previous version 0.1.0 dated 2025-08-22

Title: Seamless Access to IMF World Economic Outlook (WEO) Data
Description: Provides tools to download, process, and analyze data from the International Monetary Fund's World Economic Outlook (WEO) <https://www.imf.org/en/publications/weo>. Functions support downloading complete WEO releases, accessing specific economic indicators for selected countries, and listing available data.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut]
Maintainer: Teal Emery <lte@tealinsights.com>

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Package harness updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-09

Title: Curated Agentic Harnesses for R Professional Roles
Description: A bootstrapper that launches a command-line coding agent of the user's choice in a terminal tab pre-configured for a professional R role. Each role is described by a curated harness: a subset of community skills, a system prompt, a folder layout, and quality gates. The package does not run an agent loop and does not call a language model; it discovers the chosen coder binary, generates its configuration, links the curated skills, and opens the terminal. Code written by the agent is run manually by the user, by design, so that every generated script passes through a human audit gate before execution.
Author: Pedro Carvalho Brom [aut, cre, cph]
Maintainer: Pedro Carvalho Brom <pcbrom@gmail.com>

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Package convertid updated to version 0.4.0 with previous version 0.3.4 dated 2026-07-20

Title: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart
Description: Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in 'AnnotationDbi' in convertId2() for the most common use cases in data analysis. The main function in the package is convert.bm() which queries BioMart using the full capacity of the API provided through the 'biomaRt' package. Presets and defaults are provided for convenience but all "marts", "filters" and "attributes" can be set by the user. Function convert.alias() converts Gene Symbols to Aliases and vice versa and function likely_symbol() attempts to determine the most likely current Gene Symbol.
Author: Vidal Fey [aut, cre], Henrik Edgren [aut]
Maintainer: Vidal Fey <vidal.fey@gmail.com>

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 convertid-0.4.0/convertid/man/dot-get_term.Rd                        |only
 convertid-0.4.0/convertid/man/dot-keep.Rd                            |only
 convertid-0.4.0/convertid/man/dot-readFromCache.Rd                   |    4 
 convertid-0.4.0/convertid/man/dot-resolve_multi.Rd                   |only
 convertid-0.4.0/convertid/man/dot-safe_get1.Rd                       |only
 convertid-0.4.0/convertid/man/dot-split_hgnc.Rd                      |only
 convertid-0.4.0/convertid/man/dot-test_ensembl.Rd                    |only
 convertid-0.4.0/convertid/man/dot-try_biomart.Rd                     |only
 convertid-0.4.0/convertid/man/likely_symbol.Rd                       |    8 
 convertid-0.4.0/convertid/man/todisp2.Rd                             |   16 
 convertid-0.4.0/convertid/man/unify_gene_ids.Rd                      |    9 
 convertid-0.4.0/convertid/tests/testthat/helper-biomart.R            |only
 convertid-0.4.0/convertid/tests/testthat/test-convert.bm.R           |    2 
 convertid-0.4.0/convertid/tests/testthat/test-convertId2.R           |   96 +++
 convertid-0.4.0/convertid/tests/testthat/test-likely_symbol.R        |  144 ++++
 convertid-0.4.0/convertid/tests/testthat/test-unify_gene_ids.R       |  251 +++++---
 49 files changed, 1039 insertions(+), 441 deletions(-)

More information about convertid at CRAN
Permanent link

Package cfbfastR updated to version 3.0.0 with previous version 2.0.0 dated 2025-09-09

Title: Access College Football Play by Play Data
Description: A utility to quickly obtain clean and tidy college football data. Serves as a wrapper around the <https://collegefootballdata.com/> API and provides functions to access live play by play and box score data from ESPN <https://www.espn.com> when available. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).
Author: Saiem Gilani [cre, aut] , Akshay Easwaran [aut], Jared Lee [aut], Eric Hess [aut], Michael Egle [ctb], Nate Manzo [ctb], Jason DeLoach [ctb], Tej Seth [ctb], Conor McQuiston [ctb], Tan Ho [ctb], Keegan Abdoo [ctb], Matt Spencer [ctb], Sebastian Carl [...truncated...]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

Diff between cfbfastR versions 2.0.0 dated 2025-09-09 and 3.0.0 dated 2026-08-24

 cfbfastR-2.0.0/cfbfastR/R/espn_cfb_pbp.R                                        |only
 cfbfastR-2.0.0/cfbfastR/R/espn_cfb_player_stats.R                               |only
 cfbfastR-2.0.0/cfbfastR/R/espn_cfb_team_stats.R                                 |only
 cfbfastR-2.0.0/cfbfastR/R/espn_metrics_wp.R                                     |only
 cfbfastR-2.0.0/cfbfastR/R/espn_ratings_fpi.R                                    |only
 cfbfastR-2.0.0/cfbfastR/R/espn_scoreboard.R                                     |only
 cfbfastR-3.0.0/cfbfastR/DESCRIPTION                                             |   39 
 cfbfastR-3.0.0/cfbfastR/LICENSE                                                 |    4 
 cfbfastR-3.0.0/cfbfastR/MD5                                                     |  667 +
 cfbfastR-3.0.0/cfbfastR/NAMESPACE                                               |  529 -
 cfbfastR-3.0.0/cfbfastR/NEWS.md                                                 |  745 +
 cfbfastR-3.0.0/cfbfastR/R/cfbd_api_key.R                                        |  220 
 cfbfastR-3.0.0/cfbfastR/R/cfbd_betting.R                                        |  449 -
 cfbfastR-3.0.0/cfbfastR/R/cfbd_coaches.R                                        |  584 +
 cfbfastR-3.0.0/cfbfastR/R/cfbd_conferences.R                                    |  336 
 cfbfastR-3.0.0/cfbfastR/R/cfbd_draft.R                                          |  524 -
 cfbfastR-3.0.0/cfbfastR/R/cfbd_drives.R                                         |  324 
 cfbfastR-3.0.0/cfbfastR/R/cfbd_games.R                                          | 3336 +++----
 cfbfastR-3.0.0/cfbfastR/R/cfbd_info.R                                           |only
 cfbfastR-3.0.0/cfbfastR/R/cfbd_metrics.R                                        | 2460 ++---
 cfbfastR-3.0.0/cfbfastR/R/cfbd_pbp_data.R                                       | 4387 +++++-----
 cfbfastR-3.0.0/cfbfastR/R/cfbd_pbp_data_v2.R                                    |only
 cfbfastR-3.0.0/cfbfastR/R/cfbd_play.R                                           | 2040 ++--
 cfbfastR-3.0.0/cfbfastR/R/cfbd_players.R                                        |  818 +
 cfbfastR-3.0.0/cfbfastR/R/cfbd_playoffs.R                                       |only
 cfbfastR-3.0.0/cfbfastR/R/cfbd_ratings.R                                        | 1541 ++-
 cfbfastR-3.0.0/cfbfastR/R/cfbd_recruiting.R                                     |  839 -
 cfbfastR-3.0.0/cfbfastR/R/cfbd_stats.R                                          | 2235 ++---
 cfbfastR-3.0.0/cfbfastR/R/cfbd_teams.R                                          | 1276 +-
 cfbfastR-3.0.0/cfbfastR/R/cfbd_venues.R                                         |  158 
 cfbfastR-3.0.0/cfbfastR/R/cfbfastR-package.R                                    |    1 
 cfbfastR-3.0.0/cfbfastR/R/create_epa.R                                          | 1122 +-
 cfbfastR-3.0.0/cfbfastR/R/create_wpa_naive.R                                    |  458 -
 cfbfastR-3.0.0/cfbfastR/R/data.R                                                |   70 
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_catalog.R                                    |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_game.R                                       |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_player.R                                     |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_ratings.R                                    |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_schedule.R                                   |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_season.R                                     |only
 cfbfastR-3.0.0/cfbfastR/R/espn_cfb_team.R                                       |only
 cfbfastR-3.0.0/cfbfastR/R/fox_cfb.R                                             |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_add_player_cols.R                          |  904 +-
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_add_yardage.R                              |  498 -
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_air_yards.R                                |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_attach_player_ids.R                        |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_attribution.R                              |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_boxscore_parity.R                          |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_clean_pbp_dat.R                            | 1130 +-
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_join_participants.R                        |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_penalty_detection.R                        |  332 
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_penalty_enforcement.R                      |only
 cfbfastR-3.0.0/cfbfastR/R/helper_pbp_sidecar.R                                  |only
 cfbfastR-3.0.0/cfbfastR/R/load_cfb.R                                            |  230 
 cfbfastR-3.0.0/cfbfastR/R/load_cfb_datasets.R                                   |only
 cfbfastR-3.0.0/cfbfastR/R/load_cfb_pbp.R                                        |  473 -
 cfbfastR-3.0.0/cfbfastR/R/load_espn_cfb.R                                       |only
 cfbfastR-3.0.0/cfbfastR/R/load_ncaa_mfb.R                                       |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_adapters.R                                        |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_add_play_counts.R                                 |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_clean_drive_dat.R                                 |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_clean_pbp_dat.R                                   |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_create_epa.R                                      |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_create_wpa_naive.R                                |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_engine_switch.R                                   |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_epa_wpa_engine.R                                  |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_output_schema.R                                   |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_prep_epa_df_after.R                               |only
 cfbfastR-3.0.0/cfbfastR/R/pbp_taxonomy.R                                        |only
 cfbfastR-3.0.0/cfbfastR/R/utils.R                                               |  768 +
 cfbfastR-3.0.0/cfbfastR/R/utils_attach_query_meta.R                             |only
 cfbfastR-3.0.0/cfbfastR/R/yahoo_cfb.R                                           |only
 cfbfastR-3.0.0/cfbfastR/R/zzz.R                                                 |  158 
 cfbfastR-3.0.0/cfbfastR/README.md                                               |  441 -
 cfbfastR-3.0.0/cfbfastR/data/min_year_map_df.rda                                |only
 cfbfastR-3.0.0/cfbfastR/inst                                                    |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_api_key.Rd                                     |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_betting.Rd                                     |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_betting_ats.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_betting_lines.Rd                               |  156 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_calendar.Rd                                    |   83 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_coaches.Rd                                     |  156 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_coaches_profile.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_coaches_seasons.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_coaches_tenures.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_conference_affiliations.Rd                     |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_conference_changes.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_conferences.Rd                                 |   95 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_draft.Rd                                       |    8 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_draft_picks.Rd                                 |  147 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_draft_positions.Rd                             |   64 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_draft_teams.Rd                                 |   68 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_drives.Rd                                      |  196 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_box_advanced.Rd                           |  226 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_info.Rd                                   |  209 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_media.Rd                                  |  147 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_player_stats.Rd                           |  256 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_records.Rd                                |  163 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_team_stats.Rd                             |  293 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_game_weather.Rd                                |  148 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_games.Rd                                       |  162 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_info.Rd                                        |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_info_usage.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_live_plays.Rd                                  |  265 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_live_scoreboard.Rd                             |  166 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics.Rd                                     |  178 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_fg_ep.Rd                               |   84 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_ppa_games.Rd                           |  164 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_ppa_players_games.Rd                   |  165 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_ppa_players_season.Rd                  |  195 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_ppa_predicted.Rd                       |   94 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_ppa_teams.Rd                           |  156 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wepa_players_kicking.Rd                |  121 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wepa_players_passing.Rd                |  145 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wepa_players_rushing.Rd                |  145 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wepa_team_season.Rd                    |  153 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wp.Rd                                  |  120 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_metrics_wp_pregame.Rd                          |  127 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_pbp.Rd                                         |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_pbp_data.Rd                                    |  861 +
 cfbfastR-3.0.0/cfbfastR/man/cfbd_pbp_data_v2.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_pbp_v2.Rd                                      |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_play.Rd                                        |   14 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_play_stats_player.Rd                           |  255 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_play_stats_types.Rd                            |   67 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_play_types.Rd                                  |   67 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_player_info.Rd                                 |  117 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_player_returning.Rd                            |  117 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_player_season_overview.Rd                      |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_player_usage.Rd                                |  147 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_players.Rd                                     |   15 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_playoffs.Rd                                    |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_playoffs_cfp.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_playoffs_cfp_games.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_playoffs_cfp_participants.Rd                   |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_plays.Rd                                       |  192 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_rankings.Rd                                    |  125 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings.Rd                                     |  166 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_core.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_elo.Rd                                 |  115 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_fpi.Rd                                 |  117 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_sp.Rd                                  |  141 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_sp_conference.Rd                       |  143 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_srs.Rd                                 |   99 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_ratings_srs_expanded.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_recruiting.Rd                                  |   10 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_recruiting_player.Rd                           |  156 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_recruiting_position.Rd                         |  117 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_recruiting_team.Rd                             |   91 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_recruiting_transfer_portal.Rd                  |   85 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats.Rd                                       |   26 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_categories.Rd                            |   65 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_game_advanced.Rd                         |  238 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_game_havoc.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_player_success.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_player_success_game.Rd                   |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_season_advanced.Rd                       |  267 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_season_player.Rd                         |  252 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_stats_season_team.Rd                           |  213 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_team_info.Rd                                   |  153 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_team_matchup.Rd                                |  116 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_team_matchup_records.Rd                        |  102 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_team_roster.Rd                                 |  109 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_team_talent.Rd                                 |   81 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_teams.Rd                                       |   19 
 cfbfastR-3.0.0/cfbfastR/man/cfbd_teams_fbs.Rd                                   |only
 cfbfastR-3.0.0/cfbfastR/man/cfbd_venues.Rd                                      |   99 
 cfbfastR-3.0.0/cfbfastR/man/cfbfastR-package.Rd                                 |  109 
 cfbfastR-3.0.0/cfbfastR/man/data.Rd                                             |   38 
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_award.Rd                                   |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_awards.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_calendar.Rd                                |   23 
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_catalog.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_clear_cache.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_coach.Rd                                   |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_coach_record.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_coaches.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_franchise.Rd                               |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_drives.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_leaders.Rd                            |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_play.Rd                               |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_powerindex.Rd                         |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_team_records.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_game_team_roster.Rd                        |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_groups.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_pbp.Rd                                     |   16 
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_pbp_v2.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_career_stats.Rd                     |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_eventlog.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_gamelog.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_overview.Rd                         |only
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 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_stats.Rd                            |  751 -
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_player_stats_v3.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_players.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_position.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_positions.Rd                               |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_powerindex.Rd                              |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_qbr.Rd                                     |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_rankings.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_recruits.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_scoreboard.Rd                              |  306 
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_season.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_season_info.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_season_types.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_season_weeks.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_seasons.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_standings.Rd                               |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team.Rd                                    |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_ats.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_awards.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_coaches.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_events.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_leaders.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_powerindex.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_ranks.Rd                              |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_record.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_roster.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_schedule.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_team_stats.Rd                              |    5 
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_teams.Rd                                   |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_unnest_plays.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_venue.Rd                                   |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_venues.Rd                                  |only
 cfbfastR-3.0.0/cfbfastR/man/espn_cfb_week_rankings.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/espn_metrics.Rd                                     |   80 
 cfbfastR-3.0.0/cfbfastR/man/espn_ratings_fpi.Rd                                 |   45 
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_boxscore.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_league_leaders.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_odds.Rd                                     |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_pbp.Rd                                      |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_standings.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_team_gamelog.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_team_roster.Rd                              |only
 cfbfastR-3.0.0/cfbfastR/man/fox_cfb_team_stats.Rd                               |only
 cfbfastR-3.0.0/cfbfastR/man/helpers_pbp.Rd                                      |  807 -
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_fpi_weekly.Rd                              |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_pbp.Rd                                     |   95 
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_ratings.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_ratings_weekly.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_recruiting_proj.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_recruits.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_returning_production.Rd                    |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_rosters.Rd                                 |   74 
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_rosters_crosswalk.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_schedule_crosswalk.Rd                      |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_schedules.Rd                               |   72 
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_team_summaries_weekly.Rd                   |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_team_talent.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_teams.Rd                                   |   72 
 cfbfastR-3.0.0/cfbfastR/man/load_cfb_teams_crosswalk.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_defensive.Rd                      |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_defensive_players.Rd              |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_drives.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_passing.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_receiving.Rd                      |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_rushing.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_situational.Rd                    |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_specialists.Rd                    |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_team.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_team_gamelog.Rd                   |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_adv_turnover.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_betting.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_drives.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_game_rosters.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_linescores.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_model_pbp.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_passing.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_pbp.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_percentiles.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_play_participants.Rd                  |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_player_box.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_power_index.Rd                        |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_receiving.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_rushing.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_schedules.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_team_box.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/load_espn_cfb_team_summaries.Rd                     |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_drives.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_linescore.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_officials.Rd                          |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_pbp.Rd                                |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_pbp_cfbfastr.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_player_stats.Rd                       |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_rosters.Rd                            |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_schedule.Rd                           |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_team_stats.Rd                         |only
 cfbfastR-3.0.0/cfbfastR/man/load_ncaa_mfb_teams.Rd                              |only
 cfbfastR-3.0.0/cfbfastR/man/parquet_from_url.Rd                                 |only
 cfbfastR-3.0.0/cfbfastR/man/register_cfbd.Rd                                    |  104 
 cfbfastR-3.0.0/cfbfastR/man/update_cfb_db.Rd                                    |  142 
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_boxscore.Rd                               |only
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_player_season_stats.Rd                    |only
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_player_season_stats_legacy.Rd             |only
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_scoreboard.Rd                             |only
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_team_season_stats.Rd                      |only
 cfbfastR-3.0.0/cfbfastR/man/yahoo_cfb_team_season_stats_legacy.Rd               |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/fixtures                                 |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/setup-cfbd-throttle.R                    |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_betting_ats.R                  |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_betting_lines.R                |   74 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_calendar.R                     |   29 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_coaches.R                      |   32 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_coaches_profile.R              |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_coaches_seasons.R              |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_coaches_tenures.R              |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_conference_affiliations.R      |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_conference_changes.R           |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_conferences.R                  |   30 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_coverage.R                     |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_draft_picks.R                  |   48 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_draft_positions.R              |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_draft_teams.R                  |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_drives.R                       |   48 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_box_advanced.R            |   72 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_info.R                    |  101 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_media.R                   |   44 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_player_stats.R            |  165 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_records.R                 |   54 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_team_stats.R              |  119 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_game_weather.R                 |   80 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_info_usage.R                   |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_live_plays.R                   |  234 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_live_scoreboard.R              |  121 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_fg_ep.R                |   17 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_ppa_games.R            |   44 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_ppa_players_games.R    |   40 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_ppa_players_season.R   |   50 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_ppa_predicted.R        |   32 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wepa_players_kicking.R |   50 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wepa_players_passing.R |   52 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wepa_players_rushing.R |   52 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wepa_team_season.R     |   88 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wp.R                   |   42 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_metrics_wp_pregame.R           |   40 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_pbp_data.R                     |  136 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_play_stats_player.R            |  176 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_play_stats_types.R             |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_play_types.R                   |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_player_info.R                  |   57 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_player_returning.R             |   33 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_player_season_overview.R       |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_player_usage.R                 |   31 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_playoffs_cfp.R                 |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_playoffs_cfp_games.R           |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_playoffs_cfp_participants.R    |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_rankings.R                     |   78 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_core.R                 |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_elo.R                  |   43 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_fpi.R                  |   73 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_sp.R                   |   65 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_sp_conf.R              |   63 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_srs.R                  |   45 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_ratings_srs_expanded.R         |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_recruiting_player.R            |   57 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_recruiting_position.R          |   51 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_recruiting_team.R              |   43 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_recruiting_transfer_portal.R   |   29 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_categories.R             |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_game_advanced.R          |   93 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_game_havoc.R             |only
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 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_player_success_game.R    |only
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_season_advanced.R        |  115 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_season_player.R          |   79 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_stats_season_team.R            |   81 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_team_info.R                    |   42 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_team_matchup_records.R         |   34 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_team_roster.R                  |   53 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_team_talent.R                  |   27 
 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-cfbd_teams_fbs.R                    |only
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 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-espn_cfb_award.R                    |only
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 cfbfastR-3.0.0/cfbfastR/tests/testthat/test-espn_cfb_calendar.R                 |   61 
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More information about cfbfastR at CRAN
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Package ammiBayes updated to version 2.2-0 with previous version 2.1-1 dated 2026-03-02

Title: Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect
Description: Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Interaction Model (AMMI) for continuous data. Biplot with the averages and regions of confidence can be generated. The chains run in parallel on Linux systems and run serially on Windows.
Author: Fabio M. Correa [aut, cre] , Luciano A. Oliveira [aut], Carlos P. Silva [aut], Cristian T. E. Mendes [aut], Alessandra Q. Silva [aut], Joel J. Nuvunga [aut], Larissa C. V. Boas [aut], Marcio Balestre [ths], Diogenes F. Filho [ths], Julio S. S. Bueno- [...truncated...]
Maintainer: Fabio M. Correa <fmcron@protonmail.com>

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Package saeHB.Spatial.Beta updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-01

Title: Small Area Estimation Hierarchical Bayes for Spatial Beta Model
Description: Provides several functions and datasets for area-level Small Area Estimation using the Hierarchical Bayesian (HB) method. Model-based estimators are designed for variables of interest that follow a Beta distribution (proportions bounded between 0 and 1). The package supports both non-spatial models and spatial models based on the Simultaneous Autoregressive (SAR) and Leroux Conditional Autoregressive (CAR) structures, with optional survey design effect (DEFF) adjustments. In addition, it provides utility functions for constructing spatial weights matrices and performing spatial autocorrelation diagnostics. The 'rjags' package is used to obtain posterior estimates via Markov Chain Monte Carlo (MCMC). For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Liu (2009) <https://api.drum.lib.umd.edu/server/api/core/bitstreams/cb8e2cbf-441e-4f0f-b4b3-6182f3cf24de/content>, Liu et al. (2014) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014001/article/14030-eng. [...truncated...]
Author: Boby Iwan [aut, cre], Cucu Sumarni [aut]
Maintainer: Boby Iwan <bobyiwanboby2122@gmail.com>

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More information about saeHB.Spatial.Beta at CRAN
Permanent link

Package Familia updated to version 2.0.0 with previous version 1.0.3 dated 2026-07-29

Title: 'shiny' Application for Population Structure and Ancestry Assessments
Description: Provides a 'shiny' web application developed by the Breeding Insight team to support pedigree validation and ancestry assessment of plant and animal populations. The app integrates Mendelian error analysis, parentage assignment and genetic composition/ancestry methods to help researchers evaluate genomic relationships through an accessible, web-based interface without requiring command-line tools. Pedigree validation, Mendelian error analysis and parentage assignment build on the 'BIGpopA' package (<https://CRAN.R-project.org/package=BIGpopA>) and support diploid and polyploid data. Ancestry estimation uses the sparse non-negative matrix factorization method of Frichot et al. (2014) <doi:10.1534/genetics.113.160572> as implemented in the 'LEA' package by Frichot and Francois (2015) <doi:10.1111/2041-210X.12382>. Line and breed composition are estimated using the breed composition regression method of Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>, extended [...truncated...]
Author: Josue Chinchilla-Vargas [aut, cre], Alexander M. Sandercock [aut], Breeding Insight Team [aut]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>

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More information about Familia at CRAN
Permanent link

Package embryogrowth updated to version 2026.8.24 with previous version 2025.12.22 dated 2025-12-22

Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms. See <doi:10.7717/peerj.8451> for tsd functions; see <doi:10.1016/j.jtherbio.2014.08.005> for thermal reaction norm of embryo growth.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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New package ctgimme with initial version 0.0.12
Package: ctgimme
Title: Continuous-Time Subgrouping with GIMME
Version: 0.0.12
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>.
URL: https://github.com/JPark93/ctgimme
BugReports: https://github.com/JPark93/ctgimme/issues
License: Apache License (== 2.0)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cluster, gtools, matrixStats, methods, OpenMx, parallel, ps, qgraph, stats, utils
Suggests: expm, igraph, nloptr, testthat (>= 3.2.0)
NeedsCompilation: no
Packaged: 2026-08-20 16:10:11 UTC; imjpark
Author: Jonathan J. Park [aut, cre, cph] , Nathan Xin Mills [aut, ctb]
Maintainer: Jonathan J. Park <imJPark@UCDavis.edu>
Repository: CRAN
Date/Publication: 2026-08-24 15:20:02 UTC

More information about ctgimme at CRAN
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New package SmartPK with initial version 0.1.0
Package: SmartPK
Title: Automated Noncompartmental Pharmacokinetic Analysis
Version: 0.1.0
Maintainer: N. Shreenithi <Shreenithi092@gmail.com>
Description: Provides functions for automated noncompartmental pharmacokinetic (NCA) analysis using concentration-time data. The package estimates pharmacokinetic parameters including area under the concentration-time curve (AUC), area under the first moment curve (AUMC), maximum concentration (Cmax), time to maximum concentration (Tmax), terminal elimination rate constant (Kel), elimination half-life, clearance, volume of distribution, and mean residence time (MRT). It supports automatic terminal phase selection, bootstrap confidence intervals, and publication-ready concentration-time profiles. Methods are based on Gibaldi and Perrier (1982, ISBN:9780824710422).
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-17 15:15:28 UTC; JARVIS
Author: N. Shreenithi [aut, cre], S. Vishnu Shankar [aut], Balaji Kannan [aut]
Repository: CRAN
Date/Publication: 2026-08-24 14:40:02 UTC

More information about SmartPK at CRAN
Permanent link

New package PenalReg with initial version 0.1.0
Package: PenalReg
Title: Automated Penalized Regression Analysis Using Ridge, Lasso and Elastic Net
Version: 0.1.0
Description: Provides an automated framework for penalized regression analysis using Ridge Regression, Lasso Regression and Elastic Net Regression. The package performs data standardization, training-testing data partitioning, cross-validation for hyperparameter tuning, model fitting, coefficient estimation, variable importance assessment, prediction, and performance evaluation. It simplifies regularized regression analysis by integrating the complete modeling workflow into a single function suitable for researchers for better understanding of the data.The methods are based on Hoerl and Kennard (1970) <doi:10.1080/00401706.1970.10488634>, Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, and Friedman et al. (2010) <doi:10.18637/jss.v033.i01>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: caret, stats, utils
Suggests: glmnet
NeedsCompilation: no
Packaged: 2026-08-17 14:58:54 UTC; JARVIS
Author: S. Vishnu Shankar [aut, cre], V. Lavanya [aut], Santosha Rathod [aut], Mrinmoy Ray [aut], Anil Kumar [aut]
Maintainer: S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-24 14:40:07 UTC

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New package hellometry with initial version 1.0.1
Package: hellometry
Title: Biomass Estimation from Allometric Relationships
Version: 1.0.1
Description: Estimates body size and biomass of organisms from allometric relationships. It works with any data that follow a few column-naming conventions, using the measurements you supply to impute the ones that are missing.
License: GPL (>= 3)
URL: https://github.com/pierrerogy/hellometry
BugReports: https://github.com/pierrerogy/hellometry/issues
Encoding: UTF-8
Imports: dplyr, magrittr, performance, progress, purrr, rlang, stats, tibble, tidyr, tidyselect, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-20 16:21:00 UTC; pagro
Author: Pierre Rogy [aut, cre] , Olivier Dezerald [ctb] , Gustavo Q. Romero [ctb] , Fabiola Ospina-Bautista [ctb] , Sarah Abdelazim [ctb] , Nicholas A. C. Marino [ctb] , Diane S. Srivastava [ctb]
Maintainer: Pierre Rogy <pierre.rogy@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-24 14:50:02 UTC

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New package gwrf with initial version 0.1.1
Package: gwrf
Title: Geographically Weighted Random Forests
Version: 0.1.1
Description: Fits geographically weighted random forest models using spatially localized training neighborhoods and 'ranger' as the random forest engine. Supports fixed-distance and adaptive neighborhoods defined by observation rows or unique spatial locations, including repeated observations at the same location. Provides local predictions and permutation-based variable importance for examining spatial variation in predictive relationships. The geographical random forest approach is described by Georganos et al. (2021) <doi:10.1080/10106049.2019.1595177>, and the 'ranger' engine by Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01>.
License: MIT + file LICENSE
URL: https://github.com/hac-lab/gwrf
BugReports: https://github.com/hac-lab/gwrf/issues
Encoding: UTF-8
Imports: ranger, tibble, dplyr, pbapply, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-10 17:36:46 UTC; seamone
Author: Erich Seamon [aut, cre, cph]
Maintainer: Erich Seamon <erich_seamon@baylor.edu>
Repository: CRAN
Date/Publication: 2026-08-24 14:50:08 UTC

More information about gwrf at CRAN
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New package cropwatMUL with initial version 0.1.0
Package: cropwatMUL
Title: Crop Water Requirement and Irrigation Scheduling Across Multiple Locations
Version: 0.1.0
Description: Estimates reference evapotranspiration, crop evapotranspiration, effective rainfall, crop water requirements, root-zone water balance, and irrigation schedules across multiple locations. The calculations use temperature-based procedures described in Food and Agriculture Organization Irrigation and Drainage Paper No. 56 and a workflow inspired by the 'CROPWAT' software for monthly-to-daily interpolation, aggregation into 10-day periods, and irrigation scheduling. Further details of the evapotranspiration calculations are provided by Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. (1998, ISBN:92-5-104219-5) "Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements" <https://www.fao.org/4/X0490E/X0490E00.htm>. The package is an independent implementation and is not affiliated with or endorsed by the Food and Agriculture Organization of the United Nations.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: dplyr, lubridate, openxlsx, purrr, readxl, stats, tibble, tidyr, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-20 13:35:11 UTC; win11
Author: Manish Naskar [aut, cre, cph] , Debasish Chakraborty [aut] , Koushik Bag [aut] , Shariti Syiem [aut] , Akmaul Hoque [aut]
Maintainer: Manish Naskar <manishkumarnaskar@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-24 14:30:02 UTC

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New package ConsensusCPA with initial version 0.1.0
Package: ConsensusCPA
Title: Consensus-Based Change-Point Analysis Using Multiple Statistical Tests
Version: 0.1.0
Maintainer: S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Description: Provides a unified framework for detecting change points in univariate time series using multiple statistical methods, including Pettitt's test, Buishand Range test, Buishand U test, and the Standard Normal Homogeneity Test (SNHT). The package summarizes individual test results, determines a consensus change point using majority, median, or weighted agreement approaches, exports results with graphical comparisons of observations for before and after the detected change point. The methodology is further described in Laasya et al. (2026) <doi:10.1007/s11069-025-07783-2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, rlang, trend, openxlsx, zoo
NeedsCompilation: no
Packaged: 2026-08-17 15:25:51 UTC; JARVIS
Author: S. Vishnu Shankar [aut, cre], Santosha Rathod [aut], Mrinmoy Ray [aut], Anil Kumar [aut], V. Lavanya [aut], Prabhat Kumar [aut]
Repository: CRAN
Date/Publication: 2026-08-24 14:50:13 UTC

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Package pipr (with last version 1.4.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-12-22 1.4.0

Permanent link
Package tmap.sources updated to version 0.1-1 with previous version 0.1 dated 2026-06-01

Title: Data Sources for 'tmap'
Description: Provides support for a variety of spatial data sources in 'tmap', including remote, tiled, and streaming formats. Enables the use of external vector and raster data without requiring full data import, facilitating efficient visualization workflows.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.sources versions 0.1 dated 2026-06-01 and 0.1-1 dated 2026-08-24

 DESCRIPTION               |    6 +++---
 MD5                       |   11 ++++++-----
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 7 files changed, 58 insertions(+), 25 deletions(-)

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Package slim updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-23

Title: Singular Linear Models for Longitudinal Data
Description: Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Author: Daniel Farewell [aut, cre]
Maintainer: Daniel Farewell <farewelld@cardiff.ac.uk>

Diff between slim versions 0.1.2 dated 2026-08-23 and 0.1.3 dated 2026-08-24

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 inst/doc/slim.pdf   |binary
 man/slim-package.Rd |    2 +-
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 11 files changed, 27 insertions(+), 23 deletions(-)

More information about slim at CRAN
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Package PointedSDMs updated to version 2.1.6 with previous version 2.1.5 dated 2026-02-18

Title: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
Description: Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Author: Philip Mostert [aut, cre], Bob O'hara [aut]
Maintainer: Philip Mostert <philip.s.mostert@ntnu.no>

Diff between PointedSDMs versions 2.1.5 dated 2026-02-18 and 2.1.6 dated 2026-08-24

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 tests/testthat/testthat_datasetOut.R  |    4 
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Package phenology updated to version 2026.8.24 with previous version 2026.2.28 dated 2026-02-28

Title: Tools to Manage a Parametric Function that Describes Phenology and More
Description: Functions used to fit and test the phenology of species based on counts. Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the convolution of negative binomial, Girondot, M. and Rizzo, A. (2015) <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ..., Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate, Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020) <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

Diff between phenology versions 2026.2.28 dated 2026-02-28 and 2026.8.24 dated 2026-08-24

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 R/format_par.R              |  275 ++++++++++++++++++++---------------------
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 man/map_Gratiot.Rd          |   63 ++++-----
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 man/o_4p_p1p2.Rd            |   28 ++--
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More information about phenology at CRAN
Permanent link

Package misha updated to version 5.11.23 with previous version 5.6.6 dated 2026-03-19

Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between misha versions 5.6.6 dated 2026-03-19 and 5.11.23 dated 2026-08-24

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 src/Computer2D.cpp                                            |   19 
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 src/GenomeIndex.cpp                                           |   68 
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 src/GenomeIteratorIntervals.cpp                               |    2 
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 src/GenomeSeqFetch.cpp                                        |    5 
 src/GenomeSeqFetch.h                                          |    8 
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 src/GenomeTrackBinnedTransform.cpp                            |   66 
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 src/GenomeTrackCreateComputer2dTest.cpp                       |    2 
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 src/GenomeTrackFindNeighbors.cpp                              |    6 
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More information about misha at CRAN
Permanent link

Package HelpersMG updated to version 2026.8.24 with previous version 2026.3.31 dated 2026-03-31

Title: Tools for Various R Functions Helpers
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

Diff between HelpersMG versions 2026.3.31 dated 2026-03-31 and 2026.8.24 dated 2026-08-24

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 95 files changed, 861 insertions(+), 767 deletions(-)

More information about HelpersMG at CRAN
Permanent link

New package ebdt with initial version 1.0.1
Package: ebdt
Title: Evaluation of Binary Diagnostic Test
Version: 1.0.1
Description: Calculate the point estimator and its confidence interval for the quality parameters of a binary diagnostic test, such as sensitivity, specificity, positive and negative predictive value, positive and negative likelihood ratio, weighted Kappa coefficient, a global diagnostic accuracy index, prevalence in a cross-sectional study, and sensitivity, specificity, positive and negative likelihood ratio, and a global diagnostic accuracy index in a retrospective study.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/migmontal/ebdt, https://migmontal.github.io/ebdt/
Imports: stats
Suggests: knitr, readxl, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-20 12:38:04 UTC; Montero
Author: Miguel Angel Montero-Alonso [aut, cre] , Juan de Dios Luna del Castillo [aut]
Maintainer: Miguel Angel Montero-Alonso <mmontero@ugr.es>
Repository: CRAN
Date/Publication: 2026-08-24 13:40:14 UTC

More information about ebdt at CRAN
Permanent link

Package depmixS4 readmission to version 1.5-4 with previous version 1.5-3 dated 2026-06-17

Title: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4
Description: Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <doi:10.18637/jss.v036.i07>).
Author: Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]
Maintainer: Ingmar Visser <i.visser@uva.nl>

This is a re-admission after prior archival of version 1.5-3 dated 2026-06-17

Diff between depmixS4 versions 1.5-3 dated 2026-06-17 and 1.5-4 dated 2026-08-24

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Package SimuRg updated to version 0.2.2 with previous version 0.2.0 dated 2026-05-19

Title: Building, Fitting and Evaluating PK/PD Modeles
Description: Provides a unified workflow for building, fitting using external engines, and evaluating ordinary differential equation (ODE)-based pharmacokinetic/pharmacodynamic (PK/PD) models. Supports generation of estimation scenarios and control files for external engines (e.g., 'Monolix'), simulation of models using 'rxode2', and creation of goodness-of-fit diagnostics. Includes tools for covariate modeling, virtual population design, and local and global sensitivity analyses.
Author: Victor Sokolov [cph, aut] , Anna Mikhailova [cre, aut] , Yaroslav Ugolkov [aut] , Anatoly Pokladyuk [aut] , Alina Melnikova [aut] , Victoria Kulesh [aut]
Maintainer: Anna Mikhailova <anna.mikhailova@msdecisions.tech>

Diff between SimuRg versions 0.2.0 dated 2026-05-19 and 0.2.2 dated 2026-08-24

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 SimuRg-0.2.2/SimuRg/DESCRIPTION                                                                          |   45 
 SimuRg-0.2.2/SimuRg/MD5                                                                                  |  186 
 SimuRg-0.2.2/SimuRg/NAMESPACE                                                                            |    6 
 SimuRg-0.2.2/SimuRg/NEWS.md                                                                              |  291 
 SimuRg-0.2.2/SimuRg/R/SimuRg.R                                                                           |   22 
 SimuRg-0.2.2/SimuRg/R/data.R                                                                             |  616 +-
 SimuRg-0.2.2/SimuRg/R/sg-converter.R                                                                     | 3004 +++++-----
 SimuRg-0.2.2/SimuRg/R/sg-covsearch.R                                                                     |only
 SimuRg-0.2.2/SimuRg/R/sg-covsens-sim.R                                                                   | 1635 +++--
 SimuRg-0.2.2/SimuRg/R/sg-covsens-vis.R                                                                   |  745 +-
 SimuRg-0.2.2/SimuRg/R/sg-fit.R                                                                           | 1329 ++--
 SimuRg-0.2.2/SimuRg/R/sg-globalsens-sim.R                                                                |    4 
 SimuRg-0.2.2/SimuRg/R/sg-gof-obpr.R                                                                      |  528 -
 SimuRg-0.2.2/SimuRg/R/sg-gof-par-cov.R                                                                   |    4 
 SimuRg-0.2.2/SimuRg/R/sg-gof-par-dist.R                                                                  |  915 +--
 SimuRg-0.2.2/SimuRg/R/sg-gof-res-dist.R                                                                  |  342 -
 SimuRg-0.2.2/SimuRg/R/sg-gof-res.R                                                                       |    5 
 SimuRg-0.2.2/SimuRg/R/sg-gof-tp.R                                                                        |  549 -
 SimuRg-0.2.2/SimuRg/R/sg-localsens-sim.R                                                                 |    2 
 SimuRg-0.2.2/SimuRg/R/sg-localsens-vis.R                                                                 |    4 
 SimuRg-0.2.2/SimuRg/R/sg-modbuild.R                                                                      |  672 +-
 SimuRg-0.2.2/SimuRg/R/sg-modcomp.R                                                                       |  305 -
 SimuRg-0.2.2/SimuRg/R/sg-multistart.R                                                                    |  586 -
 SimuRg-0.2.2/SimuRg/R/sg-parsum.R                                                                        |   87 
 SimuRg-0.2.2/SimuRg/R/sg-predist-sim.R                                                                   |  166 
 SimuRg-0.2.2/SimuRg/R/sg-predist-vis.R                                                                   |only
 SimuRg-0.2.2/SimuRg/R/sg-sim-tp.R                                                                        |  497 -
 SimuRg-0.2.2/SimuRg/R/sg-sim.R                                                                           |   60 
 SimuRg-0.2.2/SimuRg/R/sg-translator.R                                                                    | 2156 +++----
 SimuRg-0.2.2/SimuRg/R/sg-vpc-sim.R                                                                       |  286 
 SimuRg-0.2.2/SimuRg/R/sg-vpc-vis.R                                                                       | 1270 ++--
 SimuRg-0.2.2/SimuRg/R/sg-vpop-est.R                                                                      | 1635 ++---
 SimuRg-0.2.2/SimuRg/R/utils.R                                                                            | 1596 ++---
 SimuRg-0.2.2/SimuRg/README.md                                                                            |   36 
 SimuRg-0.2.2/SimuRg/build                                                                                |only
 SimuRg-0.2.2/SimuRg/data/gmo_pk1c.rda                                                                    |only
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 SimuRg-0.2.2/SimuRg/inst/doc                                                                             |only
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 SimuRg-0.2.2/SimuRg/man/GCO.Rd                                                                           |only
 SimuRg-0.2.2/SimuRg/man/GFO.Rd                                                                           |only
 SimuRg-0.2.2/SimuRg/man/GMO.Rd                                                                           |only
 SimuRg-0.2.2/SimuRg/man/GSI.Rd                                                                           |only
 SimuRg-0.2.2/SimuRg/man/GSO.Rd                                                                           |only
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 SimuRg-0.2.2/SimuRg/man/figures                                                                          |only
 SimuRg-0.2.2/SimuRg/man/gfo4cov.Rd                                                                       |    2 
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 SimuRg-0.2.2/SimuRg/man/gsi_pk1c.Rd                                                                      |only
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 SimuRg-0.2.2/SimuRg/man/read_smrg_obj.Rd                                                                 |   16 
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 SimuRg-0.2.2/SimuRg/man/sg_covsens_sim.Rd                                                                |   88 
 SimuRg-0.2.2/SimuRg/man/sg_covsens_vis.Rd                                                                |   30 
 SimuRg-0.2.2/SimuRg/man/sg_dummy.Rd                                                                      |   66 
 SimuRg-0.2.2/SimuRg/man/sg_fit.Rd                                                                        |   10 
 SimuRg-0.2.2/SimuRg/man/sg_globalsens_sim.Rd                                                             |   16 
 SimuRg-0.2.2/SimuRg/man/sg_gof_obpr.Rd                                                                   |   11 
 SimuRg-0.2.2/SimuRg/man/sg_gof_par_cov.Rd                                                                |    9 
 SimuRg-0.2.2/SimuRg/man/sg_gof_par_dist.Rd                                                               |   30 
 SimuRg-0.2.2/SimuRg/man/sg_gof_res.Rd                                                                    |   12 
 SimuRg-0.2.2/SimuRg/man/sg_gof_res_dist.Rd                                                               |   19 
 SimuRg-0.2.2/SimuRg/man/sg_gof_tp.Rd                                                                     |   20 
 SimuRg-0.2.2/SimuRg/man/sg_localsens_sim.Rd                                                              |    2 
 SimuRg-0.2.2/SimuRg/man/sg_localsens_vis.Rd                                                              |    4 
 SimuRg-0.2.2/SimuRg/man/sg_modcomp.Rd                                                                    |   10 
 SimuRg-0.2.2/SimuRg/man/sg_parsum.Rd                                                                     |    9 
 SimuRg-0.2.2/SimuRg/man/sg_predist_sim.Rd                                                                |   41 
 SimuRg-0.2.2/SimuRg/man/sg_predist_vis.Rd                                                                |only
 SimuRg-0.2.2/SimuRg/man/sg_sim.Rd                                                                        |   40 
 SimuRg-0.2.2/SimuRg/man/sg_sim_tp.Rd                                                                     |    3 
 SimuRg-0.2.2/SimuRg/man/sg_vpc_sim.Rd                                                                    |   14 
 SimuRg-0.2.2/SimuRg/man/sg_vpc_vis.Rd                                                                    |    5 
 SimuRg-0.2.2/SimuRg/man/sg_vpop_est.Rd                                                                   |   26 
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 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-covsearch.R                                                   |only
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-covsens-sim.R                                                 |  184 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-covsens-vis.R                                                 |   84 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-fit.R                                                         |  146 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-globalsens-sim.R                                              |   63 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-globalsens-vis.R                                              |   57 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-obpr.R                                                    |   61 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-par-cov.R                                                 |    2 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-par-dist.R                                                |    1 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-res-dist.R                                                |    2 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-res.R                                                     |    2 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-gof-tp.R                                                      |    5 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-localsens-sim.R                                               |    1 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-localsens-vis.R                                               |    2 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-modbuild.R                                                    |    1 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-modcomp.R                                                     |    1 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-parsum.R                                                      |    2 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-predist-sim.R                                                 |  246 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-predist-vis.R                                                 |only
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-sim.R                                                         |  597 +
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-vpc-sim.R                                                     |    9 
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-vpc-vis.R                                                     | 1034 +--
 SimuRg-0.2.2/SimuRg/tests/testthat/test-sg-vpop-est.R                                                    |  529 +
 SimuRg-0.2.2/SimuRg/vignettes                                                                            |only
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Permanent link

New package pressfreedom.data with initial version 0.3.0
Package: pressfreedom.data
Title: Download and Process Reporters Without Borders Press Freedom Index Data
Version: 0.3.0
Maintainer: Peter Baumgartner <petzi53@gmail.com>
Description: Download press freedom index data from Reporters Without Borders (RSF) with period-aware encoding handling. Data are downloaded from the RSF website (<https://rsf.org/en/index>). Provides infrastructure for data cleaning and ISO 3166 standardization in downstream phases.
License: MIT + file LICENSE
URL: https://github.com/petzi53/pressfreedom.data, https://www.peter-baumgartner.net/pressfreedom.data/
BugReports: https://github.com/petzi53/pressfreedom.data/issues
Encoding: UTF-8
LazyData: true
Imports: readr, here, rlang, countrycode, dplyr, stringr, cli, fs, glue, purrr, tibble, stringi
Suggests: usethis, knitr, rmarkdown, ggplot2, tidyr, forcats, patchwork, scales, sf, rnaturalearth, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-20 09:57:27 UTC; petzi
Author: Peter Baumgartner [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-24 12:40:02 UTC

More information about pressfreedom.data at CRAN
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Package plssem updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-03

Title: Complex Partial Least Squares Structural Equation Modeling
Description: Estimate complex Structural Equation Models (SEMs) by fitting Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares consistent Structural Equation Modeling (PLSc-SEM) specifications that handle categorical data, non-linear relations, and multilevel structures. The implementation follows Lohmöller (1989) for the classic PLS-SEM algorithm, Dijkstra and Henseler (2015) for consistent PLSc-SEM, Dijkstra et al., (2014) for nonlinear PLSc-SEM, and Schuberth, Henseler, Dijkstra (2018) for ordinal PLS-SEM and PLSc-SEM. Additional extensions are under development. The MC-OrdPLSc algorithm, used to handle ordinal interaction models is detailed in Slupphaug et al., (2026). References: Lohmöller, J.-B. (1989, ISBN:9783790803002). "Latent Variable Path Modeling with Partial Least Squares." Dijkstra, T. K., & Henseler, J. (2015). <doi:10.1016/j.jmva.2015.06.002>. "Consistent partial least squares path modeling." Dijkstra, T. K., & Schermelleh-Engel, K. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between plssem versions 0.1.3 dated 2026-07-03 and 0.1.4 dated 2026-08-24

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Package PathwaySpace updated to version 1.5.1 with previous version 1.5.0 dated 2026-07-30

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) <doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025) <doi:10.1016/j.ccell.2024.12.002>.
Author: Sysbiolab Team [aut], Victor Apolonio [ctb], Jonathan Back [ctb], Lana Querne [ctb], Vinicius Chagas [ctb], Bahar Tercan [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

Diff between PathwaySpace versions 1.5.0 dated 2026-07-30 and 1.5.1 dated 2026-08-24

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More information about PathwaySpace at CRAN
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Package ORION updated to version 1.1.2 with previous version 1.1.1 dated 2026-02-12

Title: Ordinal Relations
Description: Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.
Author: L Lausser [aut, cre], LM Schaefer [aut], R Szekely [aut], A Stolnicu [aut], HA Kestler [aut]
Maintainer: L Lausser <ludwig.lausser@thi.de>

Diff between ORION versions 1.1.1 dated 2026-02-12 and 1.1.2 dated 2026-08-24

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Package golden readmission to version 0.0.4 with previous version 0.0.1 dated 2026-03-16

Title: Framework for Patient-Level Microsimulation of Risk Factor Trajectories & Hazard-Based Events
Description: Fast, flexible, patient-level microsimulation. Time-stepped simulation with a 'C++' back-end from user-supplied initial population, trajectories, hazards, and corresponding event transitions. User-defined aggregate time series histories are returned together with the final population. Designed for simulation of chronic diseases with continuous and evolving risk factors, but could easily be applied more generally.
Author: Pete Dodd [aut, cre] , Robert Chisholm [aut] , University of Sheffield [cph], Horizon Europe [fnd]
Maintainer: Pete Dodd <p.j.dodd@sheffield.ac.uk>

This is a re-admission after prior archival of version 0.0.1 dated 2026-03-16

Diff between golden versions 0.0.1 dated 2026-03-16 and 0.0.4 dated 2026-08-24

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New package decimal with initial version 0.1.0
Package: decimal
Title: Exact Arbitrary-Precision Decimal Vectors
Version: 0.1.0
Description: Arbitrary-precision vectors with an exact decimal representation, avoiding the rounding surprises of binary floating point. Built on the 'mpdecimal' C library, arithmetic is governed by an explicit decimal context controlling precision, rounding, and signalling, and vectors integrate with 'vctrs' for use in data frames, 'tibble' objects, summaries, and common numeric workflows. Missing values, signed zeros, infinities, and not-a-number values are supported throughout. The arithmetic model follows Cowlishaw (2009) "General Decimal Arithmetic" <https://speleotrove.com/decimal/decarith.html>.
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 4.2.0)
Imports: methods, rlang, vctrs, withr
Suggests: covr, knitr, pillar, rmarkdown, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-20 11:31:30 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Stefan Krah [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-24 12:40:09 UTC

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Package cffr updated to version 1.4.2 with previous version 1.4.1 dated 2026-06-17

Title: Generate Citation File Format ('CFF') Metadata
Description: Citation File Format ('CFF') version 1.2.0 <doi:10.5281/zenodo.5171937> is a human- and machine-readable file format for software citation metadata. Core utilities generate, read, write and validate Citation File Format metadata for 'R' packages.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between cffr versions 1.4.1 dated 2026-06-17 and 1.4.2 dated 2026-08-24

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More information about cffr at CRAN
Permanent link

Package EMMLi (with last version 0.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-02-17 0.0.3
2016-07-13 0.0.2
2016-06-06 0.0.1

Permanent link
Package umweltapir updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-24

Title: Access 'umwelt.info' API
Description: Provides an R-based access to the datasets including their resources from the portal <https://umwelt.info>. The package allows for an easy integration of those datasets into your R-based workflows. The functionality of the package mirrors the web-based access as provided at <https://umwelt.info>. You can use the same queries and get the same datasets by accessing our API.
Author: Luise Quoss [aut, cre], Johannes Vogel [aut], Maximilian Berthold [aut], Nationales Zentrum fuer Umwelt- und Naturschutzinformationen [cph]
Maintainer: Luise Quoss <luise.quoss@uba.de>

Diff between umweltapir versions 0.2.1 dated 2026-06-24 and 0.2.2 dated 2026-08-24

 DESCRIPTION                     |   18 +++++++--------
 MD5                             |   12 +++++-----
 NEWS.md                         |    4 +++
 R/fetch_api.R                   |   47 ++++++++++++++++++++++------------------
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Permanent link

Package treestats updated to version 1.71.13 with previous version 1.71.12 dated 2026-06-16

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between treestats versions 1.71.12 dated 2026-06-16 and 1.71.13 dated 2026-08-24

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More information about treestats at CRAN
Permanent link

Package GIFT updated to version 1.3.4 with previous version 1.3.3 dated 2024-12-19

Title: Access to the Global Inventory of Floras and Traits (GIFT)
Description: Retrieving regional plant checklists, species traits and distributions, and environmental data from the Global Inventory of Floras and Traits (GIFT). More information about the GIFT database can be found at <https://gift.uni-goettingen.de/about> and the map of available floras can be visualized at <https://gift.uni-goettingen.de/map>. The API and associated queries can be accessed according the following scheme: <https://gift.uni-goettingen.de/api/extended/index2.0.php?query=env_raster>.
Author: Pierre Denelle [aut, cre] , Patrick Weigelt [aut]
Maintainer: Pierre Denelle <pierre.denelle@posteo.com>

Diff between GIFT versions 1.3.3 dated 2024-12-19 and 1.3.4 dated 2026-08-24

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More information about GIFT at CRAN
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Package bain updated to version 0.2.12 with previous version 0.2.11 dated 2024-06-12

Title: Bayes Factors for Informative Hypotheses
Description: Computes approximated adjusted fractional Bayes factors for equality, inequality, and about equality constrained hypotheses. For a tutorial on this method, see Hoijtink, Mulder, van Lissa, & Gu, (2019) <doi:10.1037/met0000201>. For applications in structural equation modeling, see: Van Lissa, Gu, Mulder, Rosseel, Van Zundert, & Hoijtink, (2021) <doi:10.1080/10705511.2020.1745644>. For the statistical underpinnings, see Gu, Mulder, and Hoijtink (2018) <doi:10.1111/bmsp.12110>; Hoijtink, Gu, & Mulder, J. (2019) <doi:10.1111/bmsp.12145>; Hoijtink, Gu, Mulder, & Rosseel, (2019) <doi:10.31234/osf.io/q6h5w>.
Author: Xin Gu [aut], Herbert Hoijtink [aut], Joris Mulder [aut], Caspar J van Lissa [aut, cre], Van Zundert Camiel [ctb], Jeff Jones [ctb], Niels Waller [ctb]
Maintainer: Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu>

Diff between bain versions 0.2.11 dated 2024-06-12 and 0.2.12 dated 2026-08-24

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Package statsExpressions updated to version 2.1.1 with previous version 2.1.0 dated 2026-08-21

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between statsExpressions versions 2.1.0 dated 2026-08-21 and 2.1.1 dated 2026-08-24

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Package SPACO updated to version 1.0.3 with previous version 1.0.2 dated 2026-07-06

Title: Spatial Component Analysis for Spatial Sequencing Data
Description: Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>

Diff between SPACO versions 1.0.2 dated 2026-07-06 and 1.0.3 dated 2026-08-24

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Permanent link

New package reapeR with initial version 0.2.0
Package: reapeR
Title: Interface to the 'REAPER' Library
Version: 0.2.0
Description: Wrapper for David Talkin's 'Robust Epoch and Pitch EstimatoR' (REAPER) software for estimating pitch and glottal closure instants from recordings of speech. For more information about the procedure, see <https://github.com/google/REAPER/tree/master>.
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: dplyr (>= 1.1.4), emuR (>= 2.5.2), readr (>= 2.1.5), stats (>= 4.5.1), tuneR (>= 1.4.7), wrassp (>= 1.0.5), Rcpp (>= 1.0.0)
LinkingTo: Rcpp
License: Apache License (>= 2)
URL: https://github.com/rpuggaardrode/reapeR
BugReports: https://github.com/rpuggaardrode/reapeR/issues
NeedsCompilation: yes
Packaged: 2026-08-20 08:50:11 UTC; cpgl0183
Author: Rasmus Puggaard-Rode [aut, cre], David Talkin [ctb], Google Inc. [cph]
Maintainer: Rasmus Puggaard-Rode <rasmus.puggaard-rode@ling-phil.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-24 10:10:02 UTC

More information about reapeR at CRAN
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Package mlr3forecast updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-22

Title: Extending 'mlr3' to Time Series Forecasting
Description: Extends the 'mlr3' package and ecosystem to time series forecasting. Provides forecasting tasks, learners, resampling strategies, performance measures, and 'mlr3pipelines' operators for time-series feature engineering. Machine learning regression learners can be turned into forecasters through recursive and direct multi-step strategies.
Author: Maximilian Muecke [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between mlr3forecast versions 0.1.0 dated 2026-07-22 and 0.2.0 dated 2026-08-24

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Package douconca updated to version 1.2.5.1 with previous version 1.2.5 dated 2026-02-23

Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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New package CompositionalMPT with initial version 1.0
Package: CompositionalMPT
Title: Compositional Data Two-Sample Test of Equal Distributions
Version: 1.0
Date: 2026-08-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, Rfast, Rfast2
Description: Two-sample tests of equal distributions for compositional data, with zero values present. The p-value is computed via permutations. The relevant papers are Stewart C., Iverson S. and Field C. (2014). "Testing for a diet change using fatty acid signatures". Environmental and Ecological Statistics, <doi:10.1007/s10651-014-0280-9> and Sevinc V. and Tsagris. M. (2026). "Energy Based Equality of Distributions Testing for Compositional Data". Communications in Statistics--Simulation and Computation, <doi:10.1080/03610918.2026.2636167>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-20 08:18:07 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-08-24 10:10:27 UTC

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Package RegEnRF updated to version 2.0.1 with previous version 1.0.0 dated 2025-12-22

Title: Regression-Enhanced Random Forests
Description: A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>

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Package ONAM updated to version 1.1.0 with previous version 1.0.1 dated 2026-01-26

Title: Fitting Interpretable Neural Additive Models Using Orthogonalization
Description: An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>

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Package oddsapiR updated to version 1.0.0 with previous version 0.0.3 dated 2023-03-19

Title: Access Live Sports Odds from the Odds API
Description: A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>. Provides wrappers for every version 4 endpoint -- featured-market and single-event odds (including player props and alternate lines), historical odds snapshots, scores, events, participants, and usage-quota reporting -- returning tidy tibbles ready for analysis.
Author: Saiem Gilani [aut, cre, cph]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

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Package HausdorffGoF updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-15

Title: One- And Two-Sample Hausdorff Goodness-of-Fit Test
Description: Computes the test statistic and p-values of the one-sample and two-sample Hausdorff (H) goodness-of-fit tests. The H statistic measures the Hausdorff distance under the Chebyshev (l-infinity) metric, between the two cumulative distribution functions (cdfs) underlying the corresponding one-sample and two-sample null hypothesis. It coincides to the side length of the largest axis-aligned square (hypercube) that can be inscribed between the two cdfs. The following cases are covered: (i) one-sample, univariate; (ii) two-sample univariate; and (iii) two-sample bivariate. Exact one-sample p-values are computed in O(n^2 log n) time via the 'Exact-KS-FFT' method of Dimitrova, Kaishev, and Tan (2020) <doi:10.18637/jss.v095.i10>; two-sample p-values are obtained by permutation. A key advantage of the H test is that its sensitivity can be directed towards the left tail, body, or right tail of the distribution by tuning a scale parameter sigma, and therefore maximizing its power which as sh [...truncated...]
Author: Dimitrina S. Dimitrova [aut], Yun Jia [aut, cre], Vladimir K. Kaishev [aut]
Maintainer: Yun Jia <yunjia2019@gmail.com>

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Package grt updated to version 0.2.2 with previous version 0.2.1 dated 2017-07-14

Title: General Recognition Theory
Description: Functions to generate and analyze data for psychology experiments based on the General Recognition Theory.
Author: Kazunaga Matsuki [aut], Andy Wills [cre]
Maintainer: Andy Wills <andy@willslab.co.uk>

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More information about grt at CRAN
Permanent link

New package CausalState with initial version 0.10.2
Package: CausalState
Title: Causal Inference in a Longitudinal Transitioning State Environment
Version: 0.10.2
Description: Implements Sequential Doubly Robust (SDR) and infinite-dimensional Targeted Maximum Likelihood (iTMLE) estimators for longitudinal modified treatment policies in settings with transitioning states, such as ICU, ward, or emergency department care episodes. Treatment is permitted in active states and becomes structurally inapplicable after a state transition (e.g. discharge or death). Supports asymmetric g- and Q-model regularisation, k-fold cross-fitting, and pluggable SuperLearner ensembles. Includes specialised SuperLearner wrappers (SL.tgt.* and SL.tmle_* families) for the iTMLE targeting step, which pass the logit offset as a covariate column to preserve correct subsetting during SuperLearner cross-validation. Methods based on Diaz et al. (2021) <doi:10.1080/01621459.2021.1955691> and Luedtke et al. (2017) <doi:10.48550/arXiv.1705.02459>.
URL: https://github.com/sebastiaan-blank/CausalState
BugReports: https://github.com/sebastiaan-blank/CausalState/issues
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.14.0), SuperLearner, origami, glmnet, xgboost, dplyr, tidyr, rlang, magrittr, parallel, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, scales, stringr, hal9001, dbarts, mgcv, earth, nnls
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-20 08:04:00 UTC; bas
Author: Sebastiaan Blank [aut, cre, cph]
Maintainer: Sebastiaan Blank <sebastiaan.blank@mail.com>
Repository: CRAN
Date/Publication: 2026-08-24 09:10:08 UTC

More information about CausalState at CRAN
Permanent link

Package calba updated to version 0.1.3 with previous version 0.1.2 dated 2025-12-18

Title: Efficient Neighborhood Basal Area Metrics for Trees
Description: Fast 'C++'-backed tools for computing conspecific and total neighborhood basal area in mapped forest plots. Includes unweighted and distance-weighted neighborhoods, multiple radii, decay kernels, and basic edge correction. Outputs are model-ready covariates for forest competition, growth, and survival models, following neighborhood modeling workflows commonly used in spatial ecology (e.g., Hülsmann et al. 2024 <doi:10.1038/s41586-024-07118-4>).
Author: Masatoshi Katabuchi [aut, cre]
Maintainer: Masatoshi Katabuchi <mattocci27@gmail.com>

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More information about calba at CRAN
Permanent link

Package tidyterra updated to version 1.3.0 with previous version 1.2.0 dated 2026-06-17

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Provides methods from 'tidyverse' packages for 'SpatRaster' and 'SpatVector' objects created with 'terra', plus 'ggplot2' 'geoms' and scales for plotting those objects. It is designed to let users manipulate spatial data with familiar 'dplyr' and 'tidyr' verbs before visualizing results with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package recipes updated to version 1.4.0 with previous version 1.3.3 dated 2026-05-30

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package rasch updated to version 1.12.0 with previous version 1.11.7 dated 2026-07-30

Title: Models and Diagnostics for Rasch Measurement Theory
Description: Fits models within Rasch Measurement Theory, whose defining properties include sufficiency and invariance (Rasch, 1960 <ISBN:9780226705538>; Andrich and Marais, 2019 <doi:10.1007/978-981-13-7496-8>). Models include the dichotomous Rasch, partial credit, rating scale, explanatory, many-facet and extended frame of reference models. Explanatory models include the linear logistic test model (Fischer, 1973 <doi:10.1016/0001-6918(73)90003-6>) and linear partial credit model (Fischer and Ponocny, 1994 <doi:10.1007/BF02295182>). Comparative judgement models, including explanatory object models, are available for dichotomous (Andrich, 1978 <doi:10.1177/014662167800200319>) and ordered pairwise responses (Tutz, 1986 <doi:10.1016/0022-2496(86)90034-9>). Item parameters for item-response models are estimated by pairwise conditional maximum likelihood (Zwinderman, 1995 <doi:10.1177/014662169501900406>), comparative judgement parameters by maximum likelihood [...truncated...]
Author: Josh McGrane [aut, cre]
Maintainer: Josh McGrane <drjoshmcgrane@gmail.com>

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Package randompack updated to version 0.1.10 with previous version 0.1.3 dated 2026-04-22

Title: Fast Random Number Generation with Multiple Engines and Distributions
Description: Random number generation library implemented in C with multiple engines and distribution functions, providing an R interface focused on correctness, speed, and reproducibility. Supports various PRNGs including xoshiro256++/**, PCG64, Philox, and ChaCha20, with methods for continuous, discrete, and multivariate distributions.
Author: Kristjan Jonasson [aut, cre]
Maintainer: Kristjan Jonasson <jonasson@hi.is>

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Package nysOpenData readmission to version 0.1.3 with previous version 0.1.1 dated 2026-04-01

Title: Convenient Access to NYS Open Data API Endpoints
Description: Provides helper functions to access datasets from the NYS Open Data platform <https://data.ny.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

This is a re-admission after prior archival of version 0.1.1 dated 2026-04-01

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Package mizer updated to version 3.3.0 with previous version 3.2.1 dated 2026-08-04

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

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More information about mizer at CRAN
Permanent link

Package MFF updated to version 0.2.3 with previous version 0.2.0 dated 2026-04-01

Title: Meta Fuzzy Functions
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, Gustafson–Kessel (GK) clustering, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test pre [...truncated...]
Author: Nihat Tak [aut, cre], Sadik Coban [aut]
Maintainer: Nihat Tak <nihattak@gmail.com>

Diff between MFF versions 0.2.0 dated 2026-04-01 and 0.2.3 dated 2026-08-24

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More information about MFF at CRAN
Permanent link

Package LRTesteR updated to version 2.0.0 with previous version 1.3.1 dated 2026-02-07

Title: Likelihood Ratio Tests and Confidence Intervals
Description: A collection of hypothesis tests and confidence intervals based on the likelihood ratio <https://en.wikipedia.org/wiki/Likelihood-ratio_test>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between LRTesteR versions 1.3.1 dated 2026-02-07 and 2.0.0 dated 2026-08-24

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More information about LRTesteR at CRAN
Permanent link

Package ggfortify updated to version 0.4.22 with previous version 0.4.19 dated 2025-07-27

Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Author: Masaaki Horikoshi [aut], Yuan Tang [aut, cre] , Austin Dickey [ctb], Matthias Grenie [ctb], Ryan Thompson [ctb], Luciano Selzer [ctb], Dario Strbenac [ctb], Kirill Voronin [ctb], Damir Pulatov [ctb], Emik Lin [ctb]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

Diff between ggfortify versions 0.4.19 dated 2025-07-27 and 0.4.22 dated 2026-08-24

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More information about ggfortify at CRAN
Permanent link

Package ggchord updated to version 0.8.0 with previous version 0.2.0 dated 2025-07-16

Title: Multi-Sequence Alignment Chord Diagram Visualization Tool
Description: A 'ggplot2'-based R package that visualizes multi-sequence alignment results as chord diagrams using layered grammar of graphics. Users build chord plots by stacking geom layers (geom_seq, geom_ribbon, geom_gene, geom_axis). Layout parameters are specified within each geom layer, following 'ggplot2' conventions. Homologous regions between query and subject sequences are intuitively displayed.
Author: Jem Dang [aut, cre]
Maintainer: Jem Dang <dangjem0730@gmail.com>

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Package data.table updated to version 1.18.6.1 with previous version 1.18.4 dated 2026-05-06

Title: Extension of `data.frame`
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Author: Tyson Barrett [aut, cre] , Matt Dowle [aut], Arun Srinivasan [aut], Jan Gorecki [aut], Michael Chirico [aut] , Toby Hocking [aut] , Benjamin Schwendinger [aut] , Ivan Krylov [aut] , Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduar [...truncated...]
Maintainer: Tyson Barrett <t.barrett88@gmail.com>

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Package BayesPPDSurv updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-09

Title: Bayesian Power Prior Design for Survival Data
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in <doi:10.48550/arXiv.2404.05118>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) <doi:10.1007/978-1-4757-3447-8>.
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <angieshen6@gmail.com>

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Package aftables updated to version 2.1.0 with previous version 2.0.1 dated 2026-04-22

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

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Package whatifbandit readmission to version 1.0.3 with previous version 1.0.2 dated 2026-07-23

Title: Analyzing Randomized Experiments Using Multi-Arm Bandits
Description: Simulates response-adaptive experimental trials using Multi-Arm Bandits. Adaptive robust estimators defined in Hadad et al. (2021) <doi:10.1073/pnas.2014602118> and Offer-Westort et al. (2021) <doi:10.1111/ajps.12597> are used to robustly estimate conditional expectations and treatment effects. Provides significant simulation customization options for imperfect information, non-stationary bandits, and increased exploration strategies for assignments.
Author: Noah Ochital [aut, cre, cph] , Ryan T. Moore [ctb, cph]
Maintainer: Noah Ochital <no9857a@american.edu>

This is a re-admission after prior archival of version 1.0.2 dated 2026-07-23

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Package obr readmission to version 0.6.2 with previous version 0.6.0 dated 2026-08-02

Title: Access 'Office for Budget Responsibility' Data
Description: Provides clean, tidy access to data published by the 'Office for Budget Responsibility' ('OBR'), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every 'OBR' forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the monthly profiles for the public finances (the 'OBR' forecast apportioned across the months of the fiscal year), and the Welfare Trends Report (incapacity benefit spending and caseloads). All returned objects carry provenance metadata recording the source URL, publication vintage, retrieval time, and file fingerprint, so analyses can be audited and reproduced. Data is downloaded from the 'OBR' on first use and cached locally for subsequent calls. Data is sourced from the 'OBR' website <https://obr.uk>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

This is a re-admission after prior archival of version 0.6.0 dated 2026-08-02

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Package idiographic updated to version 0.3.4 with previous version 0.3.2 dated 2026-08-03

Title: Person-Specific (Idiographic) and Heterogeneous Complex Networks
Description: Person-specific and within-person network estimation from intensive longitudinal and panel data. Estimators include ordinary vector autoregression (VAR), graphical vector autoregression (graphical VAR), multilevel vector autoregression (mlVAR), rolling ordinary and graphical VAR, native Bayesian VAR and multilevel Bayesian VAR, unified Structural Equation Modeling (uSEM), and Group Iterative Multiple Model Estimation (GIMME). All estimators are native clean-room implementations. All functions are validated against authoritative literature. Also provides preprocessing audits, edge-stability diagnostics, model-comparison reports, and rolling forecast validation. Methods are described in <doi:10.1007/978-3-031-95365-1_20> and <doi:10.1080/00273171.2018.1454823>.
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package gridmicrotex updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-21

Title: Native 'LaTeX' Math Rendering for Grid Graphics
Description: Renders 'LaTeX' math equations as native R grid graphics objects (grobs) using the 'MicroTeX' 'C++' library as the layout engine. Produces resolution-independent vector output that works on any R graphics device, with no external 'LaTeX' installation required. Markdown labels and block documents that mix prose formatting with math are also rendered, for use with both 'grid' and 'ggplot2'.
Author: Alim Dayim [aut, cre] , Nano Michael [cph] , Bundled math font authors [cph]
Maintainer: Alim Dayim <ad938@cam.ac.uk>

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Package greenbook updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-28

Title: HM Treasury Green Book Cost-Benefit Analysis Primitives
Description: Implements cost-benefit analysis primitives from HM Treasury Green Book guidance (HM Treasury, 2022, 2026): the kinked Social Time Preference Rate (STPR), discount factors, net present value (NPV), equivalent annual cost, and real-terms rebasing using the GDP deflator. Designed for UK central government appraisal and evaluation. Bundled parameter tables carry vintage metadata for reproducibility.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package gkwreg updated to version 2.1.18 with previous version 2.1.14 dated 2026-01-09

Title: Generalized Kumaraswamy Regression Models for Bounded Data
Description: Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized 'Kumaraswamy' distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models. Methods are described in Lopes and Bonat (2026) <doi:10.21105/joss.08991>.
Author: Jose Evandeilton Lopes [aut, cre] , Wagner Hugo Bonat [aut]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package forestecology updated to version 0.2.3 with previous version 0.2.2 dated 2026-08-19

Title: Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees
Description: Code for fitting and assessing models for the growth of trees. In particular for the Bayesian neighborhood competition linear regression model of Allen (2020): methods for model fitting and generating fitted/predicted values, evaluating the effect of competitor species identity using permutation tests, and evaluating model performance using spatial cross-validation.
Author: Albert Y. Kim [aut, cre] , David Allen [aut] , Simon Couch [aut]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package rapsimng updated to version 0.6.0 with previous version 0.5.0 dated 2026-05-06

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>

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Package tidypredict updated to version 1.1.1 with previous version 1.1.0 dated 2026-02-27

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), rpart(), earth(), xgb.Booster.complete(), lgb.Booster(), catboost.Model(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package RGraphSpace updated to version 1.5.2 with previous version 1.5.0 dated 2026-07-23

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface for rendering 'igraph' objects as 'ggplot2' graphics within a normalized coordinate space. 'RGraphSpace' implements new geometries that treat a graph as a single coherent object, synchronizing node and edge layers under standard aesthetic mappings. Node features are resolved on demand, supporting high-dimensional data without expanding node tables. Spatial alignment is available at the pixel level, with node coordinates anchored to pixel centers through a half-pixel offset, enabling precise node positioning over external reference frames such as images and maps.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package RANN updated to version 2.6.3 with previous version 2.6.2 dated 2024-08-25

Title: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
Description: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
Author: Gregory Jefferis [aut, cre] , Samuel E. Kemp [aut], Kirill Mueller [ctb] , Sunil Arya [aut, cph] , David Mount [aut, cph] , University of Maryland [cph]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package mixtime updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-28

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

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Package liteformats updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-05

Title: Lightweight Output Formats for 'litedown'
Description: A collection of lightweight, minimalist output formats and templates for 'litedown' by Xie (2026) <doi:10.32614/CRAN.package.litedown>, including resumes, cover letters, and other common document types. Documents are rendered with HTML and CSS and can be printed to PDF with a 'Chromium'-based browser, without requiring 'Pandoc' or a 'LaTeX' installation.
Author: Nan Xiao [aut, cre, cph] , Yihui Xie [ctb, cph] , Ayuhito [ctb, cph]
Maintainer: Nan Xiao <me@nanx.me>

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Package isoreader2 updated to version 0.7.0 with previous version 0.6.1 dated 2026-07-10

Title: Read Stable Isotope Data Files
Description: Interface to the raw data and metadata stored in the file formats commonly encountered in scientific disciplines that make use of stable isotopes. Supports Isodat (.dxf, .cf, .did, .caf, .scn), IonOS (.iarc), LyticOS (.larc), Callisto (.bch), and Qtegra (.imexp) file formats. Provides a consistent data structure together with tools to aggregate, convert signal units, filter, and visualize the extracted data. The approach is described in Kopf et al. (2021) <doi:10.21105/joss.02878>.
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

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Package dracor updated to version 0.2.7 with previous version 0.2.6 dated 2023-01-29

Title: Decode Draco Format 3D Mesh Data
Description: Decodes meshes and point cloud data encoded by the Draco mesh compression library from Google. Note that this is only designed for basic decoding and not intended as a full scale wrapping of the Draco library.
Author: Gregory Jefferis [aut, cre] , Google Inc [aut, cph]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package dendroextras updated to version 0.2.4 with previous version 0.2.3 dated 2018-01-25

Title: Extra Functions to Cut, Label and Colour Dendrogram Clusters
Description: Provides extra functions to manipulate dendrograms that build on the base functions provided by the 'stats' package. The main functionality it is designed to add is the ability to colour all the edges in an object of class 'dendrogram' according to cluster membership i.e. each subtree is coloured, not just the terminal leaves. In addition it provides some utility functions to cut 'dendrogram' and 'hclust' objects and to set/get labels.
Author: Gregory Jefferis [aut, cre]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package Delaporte updated to version 9.0.0 with previous version 8.4.3 dated 2026-01-09

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution with parameterization based on Vose (2008) <isbn:9780470512845>. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package daltoolbox updated to version 1.3.777 with previous version 1.3.767 dated 2026-07-09

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sa [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Rafae [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package CVXR updated to version 1.9.2 with previous version 1.9.1 dated 2026-06-09

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. This version uses the S7 object system for improved performance and maintainability.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb]
Maintainer: Anqi Fu <anqif@alumni.stanford.edu>

Diff between CVXR versions 1.9.1 dated 2026-06-09 and 1.9.2 dated 2026-08-24

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 CVXR-1.9.2/CVXR/DESCRIPTION                                                         |   12 
 CVXR-1.9.2/CVXR/MD5                                                                 |  842 +++++-----
 CVXR-1.9.2/CVXR/NAMESPACE                                                           |   57 
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 CVXR-1.9.2/CVXR/man/Constant.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/DiagMat.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/DiagVec.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/Not.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/Or.Rd                                                           |    2 
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 CVXR-1.9.2/CVXR/man/Variable.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/Xor.Rd                                                          |    2 
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 CVXR-1.9.2/CVXR/man/bmat.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/man/broadcast_args.Rd                                               |    2 
 CVXR-1.9.2/CVXR/man/cdiac.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/ceil_expr.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/conj_expr.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/constraints.Rd                                                  |    2 
 CVXR-1.9.2/CVXR/man/conv.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/man/convolve.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/cumsum_axis.Rd                                                  |    2 
 CVXR-1.9.2/CVXR/man/curvature.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/cvar.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/man/cvxr_diff.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/cvxr_mean.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/cvxr_outer.Rd                                                   |    6 
 CVXR-1.9.2/CVXR/man/cvxr_promote.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/cvxr_std.Rd                                                     |    4 
 CVXR-1.9.2/CVXR/man/cvxr_var.Rd                                                     |    2 
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 CVXR-1.9.2/CVXR/man/delta.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/dspop.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/dssamp.Rd                                                       |    2 
 CVXR-1.9.2/CVXR/man/entr.Rd                                                         |    2 
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 CVXR-1.9.2/CVXR/man/hstack.Rd                                                       |    2 
 CVXR-1.9.2/CVXR/man/huber.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/id.Rd                                                           |    2 
 CVXR-1.9.2/CVXR/man/iff.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/imag_expr.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/implies.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/installed_solvers.Rd                                            |    2 
 CVXR-1.9.2/CVXR/man/intf_convert.Rd                                                 |    2 
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 CVXR-1.9.2/CVXR/man/intf_is_psd.Rd                                                  |    2 
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 CVXR-1.9.2/CVXR/man/intf_is_sparse.Rd                                               |    2 
 CVXR-1.9.2/CVXR/man/intf_shape.Rd                                                   |    2 
 CVXR-1.9.2/CVXR/man/intf_sign.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/inv_pos.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/inv_prod.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/is_matrix.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/is_param_affine.Rd                                              |    2 
 CVXR-1.9.2/CVXR/man/is_param_free.Rd                                                |    2 
 CVXR-1.9.2/CVXR/man/is_pwl.Rd                                                       |    2 
 CVXR-1.9.2/CVXR/man/is_scalar.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/is_vector.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/kl_div.Rd                                                       |    2 
 CVXR-1.9.2/CVXR/man/kron.Rd                                                         |    2 
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 CVXR-1.9.2/CVXR/man/linop_new.Rd                                                    |    2 
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 CVXR-1.9.2/CVXR/man/linop_set_type.Rd                                               |    2 
 CVXR-1.9.2/CVXR/man/linop_size_push_back.Rd                                         |    2 
 CVXR-1.9.2/CVXR/man/linop_slice_push_back.Rd                                        |    2 
 CVXR-1.9.2/CVXR/man/log1p_atom.Rd                                                   |    4 
 CVXR-1.9.2/CVXR/man/log_normcdf.Rd                                                  |    2 
 CVXR-1.9.2/CVXR/man/loggamma.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/logistic.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/make_sparse_diagonal_matrix.Rd                                  |    2 
 CVXR-1.9.2/CVXR/man/math_atoms.Rd                                                   |    4 
 CVXR-1.9.2/CVXR/man/matrix_trace.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/max_elemwise.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/min_elemwise.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/mixed_norm.Rd                                                   |    2 
 CVXR-1.9.2/CVXR/man/multiply.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/name.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/man/neg.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/norm2.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/normcdf.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/objective.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/partial_optimize.Rd                                             |    2 
 CVXR-1.9.2/CVXR/man/partial_trace.Rd                                                |    2 
 CVXR-1.9.2/CVXR/man/partial_transpose.Rd                                            |    2 
 CVXR-1.9.2/CVXR/man/pos.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/power.Rd                                                        |    2 
 CVXR-1.9.2/CVXR/man/ptp.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/real_expr.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/rel_entr.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/reshape_expr.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/scalar_product.Rd                                               |   13 
 CVXR-1.9.2/CVXR/man/scalarize.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/scalene.Rd                                                      |    2 
 CVXR-1.9.2/CVXR/man/size.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/man/smith_annotation.Rd                                             |    2 
 CVXR-1.9.2/CVXR/man/solver-constants.Rd                                             |    2 
 CVXR-1.9.2/CVXR/man/solver_default_param.Rd                                         |   16 
 CVXR-1.9.2/CVXR/man/solver_opts.Rd                                                  |    2 
 CVXR-1.9.2/CVXR/man/square.Rd                                                       |    4 
 CVXR-1.9.2/CVXR/man/status-constants.Rd                                             |    2 
 CVXR-1.9.2/CVXR/man/sum_entries.Rd                                                  |    2 
 CVXR-1.9.2/CVXR/man/sum_smallest.Rd                                                 |    2 
 CVXR-1.9.2/CVXR/man/to_latex.Rd                                                     |    2 
 CVXR-1.9.2/CVXR/man/total_variation.Rd                                              |    2 
 CVXR-1.9.2/CVXR/man/tv.Rd                                                           |    2 
 CVXR-1.9.2/CVXR/man/unpack_results.Rd                                               |    2 
 CVXR-1.9.2/CVXR/man/upper_tri.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/vdot.Rd                                                         |   30 
 CVXR-1.9.2/CVXR/man/vec.Rd                                                          |    2 
 CVXR-1.9.2/CVXR/man/vec_to_upper_tri.Rd                                             |    2 
 CVXR-1.9.2/CVXR/man/visualize.Rd                                                    |    2 
 CVXR-1.9.2/CVXR/man/vstack.Rd                                                       |    2 
 CVXR-1.9.2/CVXR/man/xexp.Rd                                                         |    2 
 CVXR-1.9.2/CVXR/src/RcppCseKeys.cpp                                                 |only
 CVXR-1.9.2/CVXR/src/RcppExports.cpp                                                 |  194 ++
 CVXR-1.9.2/CVXR/tests/testthat/helper-solvers.R                                     |   39 
 CVXR-1.9.2/CVXR/tests/testthat/test-cvxpy-3180-parity-v19.R                         |   17 
 663 files changed, 1918 insertions(+), 901 deletions(-)

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