Thu, 23 Jul 2026

Package RGraphSpace updated to version 1.5.0 with previous version 1.4.1 dated 2026-06-24

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>

Diff between RGraphSpace versions 1.4.1 dated 2026-06-24 and 1.5.0 dated 2026-07-23

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More information about RGraphSpace at CRAN
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Package mpaR updated to version 0.5.0 with previous version 0.4.0 dated 2026-06-26

Title: Main Path Analysis for Citation and Directed Networks
Description: Implements Main Path Analysis (MPA) as introduced by Hummon and Doreian (1989) <doi:10.1016/0378-8733(89)90017-8>. Given a directed acyclic graph (DAG) representing a citation or precedence network, the package computes traversal weights (SPC, SPLC, SPNP) for each edge and extracts the global, local, and key-route main paths. Also provides tools for DAG validation, node role classification (source/terminal/user), per-component path extraction for disconnected networks, and scale-free network testing. Accepts 'igraph' objects or edge-list data frames as input. Includes readers for 'Pajek' (.net) and 'Gephi' export (.gexf, .graphml) files.
Author: Paulo H Resende [aut, cre]
Maintainer: Paulo H Resende <paulo.resende@ttu.edu>

Diff between mpaR versions 0.4.0 dated 2026-06-26 and 0.5.0 dated 2026-07-23

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More information about mpaR at CRAN
Permanent link

Package stdmod updated to version 0.2.14 with previous version 0.2.13 dated 2026-05-04

Title: Standardized Moderation Effect and Its Confidence Interval
Description: Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
Author: Shu Fai Cheung [aut, cre] , David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between stdmod versions 0.2.13 dated 2026-05-04 and 0.2.14 dated 2026-07-23

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Package rstatix updated to version 1.1.0 with previous version 1.0.0 dated 2026-07-03

Title: Pipe-Friendly Framework for Basic Statistical Tests
Description: Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between rstatix versions 1.0.0 dated 2026-07-03 and 1.1.0 dated 2026-07-23

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Package MPN updated to version 0.5.0 with previous version 0.4.0 dated 2024-10-22

Title: Most Probable Number and Other Microbial Enumeration Techniques
Description: Calculates the Most Probable Number (MPN) to quantify the concentration (density) of microbes in serial dilutions of a laboratory sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>). Also calculates the Aerobic Plate Count (APC) for similar microbial enumeration experiments.
Author: Martine Ferguson [aut] , John Ihrie [cre, aut]
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

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Package DirichletRF updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-23

Title: Dirichlet Random Forest
Description: Implementation of the Dirichlet Random Forest algorithm for compositional response data. Trees are grown using a Dirichlet log-likelihood splitting criterion, with maximum likelihood ('MLE') and method-of-moments ('MOM') parameter estimation. Provides averaging-based predictions (average of responses within terminal nodes), parameter-based predictions (expected value derived from the estimated Dirichlet parameters within terminal nodes), and distributional predictions represented as a weighted distribution over the training responses. Out-of-bag estimation and impurity- and permutation-based variable importance are also supported. For more details see Masoumifard, van der Westhuizen, and Gardner-Lubbe (2026, ISBN:9781032903910).
Author: Khaled Masoumifard [aut, cre] , Stephan van der Westhuizen [aut] , Sugnet Lubbe [aut]
Maintainer: Khaled Masoumifard <masoumifardk@yahoo.com>

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Package dbrobust updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-22

Title: Robust Distance-Based Visualization and Analysis of Mixed-Type Data
Description: Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>.
Author: Marcos Alvarez [aut], Eva Boj [aut, cre], Aurea Grane [aut]
Maintainer: Eva Boj <evaboj@ub.edu>

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Package sidrar updated to version 0.3.0 with previous version 0.2.9 dated 2022-07-12

Title: An Interface to IBGE's SIDRA API
Description: Provides a flexible interface to the aggregate data available from the Brazilian Institute of Geography and Statistics (IBGE) through its SIDRA application programming interfaces. SIDRA is IBGE's system for retrieving aggregate statistical data.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

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Package envirem updated to version 3.2 with previous version 3.1 dated 2025-05-15

Title: Generation of ENVIREM Variables
Description: Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables.
Author: Pascal O. Title [aut], Jordan B. Bemmels [aut], Pascal Title [cre]
Maintainer: Pascal Title <pascal.title@stonybrook.edu>

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Package wrProteo updated to version 2.1.0 with previous version 2.0.2 dated 2026-04-29

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package wbCorr updated to version 0.3.2 with previous version 0.3.1 dated 2026-06-09

Title: Bivariate Within- and Between-Cluster Correlations
Description: Separates supplied variables into within- and between-cluster components and calculates bivariate correlations for each level separately. For Pearson correlations, the centered-score decomposition corresponds to commonly used between- and within-cluster correlations reviewed by Tu et al. (2025) <doi:10.1002/sim.10326>. The package's descriptive Spearman option is distinct from the clustered rank parameters introduced in that paper. The package is also motivated by the distinction between within- and between-person variation described by Curran and Bauer (2011) <doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024) <doi:10.1080/00273171.2022.2155930>. The package is intended for longitudinal or otherwise clustered data where researchers need transparent correlation matrices before fitting more complex multilevel models.
Author: Pascal Kueng [aut, cre, cph]
Maintainer: Pascal Kueng <pascal.kueng@psychologie.uzh.ch>

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Package GapAnalysis updated to version 2.1.0 with previous version 2.0.2 dated 2026-05-12

Title: Conservation Indicators Using Spatial Information
Description: Supports the assessment of the degree of conservation of taxa in conservation systems, both in ex situ (in genebanks, botanical gardens, and other repositories), and in situ (in protected natural areas). Methods are described in Carver et al. (2021) <doi:10.1111/ecog.05430>, building on Khoury et al. (2020) <doi:10.1073/pnas.2007029117>, Khoury et al. (2019) <doi:10.1016/j.ecolind.2018.11.016>, Khoury et al. (2019) <doi:10.1111/DDI.13008>, Castaneda-Alvarez et al. (2016) <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. (2010) <doi:10.1371/journal.pone.0013497>.
Author: Dan Carver [aut, cre, cph] , Sarah Gore [aut, cph] , Chrystian Sosa [aut, cph] , Colin Khoury [aut, cph] , Julian Ramirez-Villegas [aut, cph] , Valentin Stefan [ctb], Harold Achicanoy [ctb, cph], Maria Victoria Diaz [ctb, cph], Steven Sotelo [ctb, cp [...truncated...]
Maintainer: Dan Carver <carver.dan1@gmail.com>

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Package BOLDconnectR updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-17

Title: Retrieve, Transform and Analyze the Barcode of Life Data Systems Data
Description: Facilitates retrieval, transformation and analysis of the data from the Barcode of Life Data Systems (BOLD) database <https://boldsystems.org/>. This package allows both public and private user data to be easily downloaded into the R environment using a variety of inputs such as: IDs (processid, sampleid), BINs, dataset codes, project codes, taxonomy, geography etc. It provides frictionless data conversion into formats compatible with other R-packages and third-party tools, as well as functions for sequence alignment & clustering, biodiversity analysis and spatial mapping.
Author: Sameer Padhye [aut, cre], Liliana Ballesteros-Mejia [aut], Timothy Agda [aut], Jireh Agda [aut], Sujeevan Ratnasingham [aut]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>

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Package ctreeMI updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-10

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, the pruning significance threshold is divided by the number of imputations M (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations() and rescale_alpha() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

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Package vprint updated to version 1.3 with previous version 1.2 dated 2025-06-04

Title: More Flexible Form of Boolean Verbose
Description: R functions are not supposed to print text without giving the user the option to turn the printing off or on using a Boolean 'verbose' in a construct like 'if(verbose) print(...)'. But this black/white approach is rather rigid, and an approach with shades of gray might be more appropriate in many circumstances.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

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Package voluModel updated to version 0.2.5 with previous version 0.2.4 dated 2026-05-23

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre, cph] , Emmaline Sheahan [aut] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package tabular updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-20

Title: Render Tables, Listings, and Figures for Clinical Submissions
Description: Render clinical submission tables, listings, and figures to 'RTF', 'LaTeX', 'Typst', 'HTML', 'PDF', and 'DOCX' from pre-summarised data frames, with no external 'Java' or 'SAS' dependency. Features include decimal alignment via font metrics, multi-level column headers with passthrough leaves, predicate-targeted cell styling, footnotes, group-aware pagination, and figures that wrap a plot or image in the same page chrome as a table. Built for Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model (ADaM) workflows and regulatory submissions to agencies such as the Food and Drug Administration (FDA), European Medicines Agency (EMA), and Pharmaceuticals and Medical Devices Agency (PMDA).
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

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Package omopgenerics updated to version 1.4.1 with previous version 1.4.0 dated 2026-06-17

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package medfit updated to version 0.3.2 with previous version 0.2.1 dated 2026-06-18

Title: Infrastructure for Mediation Model Fitting and Extraction
Description: Provides S7-based infrastructure for fitting mediation models, extracting path coefficients, and performing bootstrap inference. Designed as a foundation package for the mediation analysis ecosystem, supporting 'probmed', 'RMediation', and 'medrobust' packages. Implements unified interfaces for model fitting across different engines (currently generalized linear models, with future support for mixed models and Bayesian methods), standardized extraction of mediation paths from various model types, and robust bootstrap inference methods. Mediation methods are described in MacKinnon, Lockwood and Williams (2004) <doi:10.1207/s15327906mbr3901_4>, Preacher and Hayes (2008) <doi:10.3758/brm.40.3.879>, Tofighi and MacKinnon (2011) <doi:10.3758/s13428-011-0076-x>, and VanderWeele (2014) <doi:10.1097/EDE.0000000000000121>.
Author: Davood Tofighi [aut, cre, cph]
Maintainer: Davood Tofighi <dtofighi@gmail.com>

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Package manydist updated to version 0.5.1 with previous version 0.5.0 dated 2026-06-09

Title: Distance-Based Learning for Mixed-Type Data
Description: Provides tools for constructing, computing, and using distance measures for numerical, categorical, and mixed-type data. The package implements a flexible framework in which continuous and categorical components can be combined under additive, commensurable, and association-aware specifications. Supported methods include classical distances such as Gower, Euclidean, Manhattan, and Mahalanobis-type distances; categorical dissimilarities such as simple matching, occurrence-frequency, and association-based measures; and mixed-type presets designed to reduce biases due to variable type, scale, distribution, redundancy, and number of categories. The package also provides scaling options, supervised and unsupervised distance constructions, leave-one-variable-out tools for distance-based variable importance, and integration with distance-based learning workflows such as nearest-neighbour prediction, partitioning around medoids, and spectral clustering. Methods are motivated by van de Velden, [...truncated...]
Author: Alfonso Iodice D'Enza [aut, cre], Angelos Markos [aut], Michel van de Velden [aut], Carlo Cavicchia [aut]
Maintainer: Alfonso Iodice D'Enza <iodicede@unina.it>

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Package ggsced updated to version 0.1.9 with previous version 0.1.7 dated 2026-07-20

Title: Utilities and Helpers for Single Case Experimental Design (SCED) using 'ggplot2'
Description: Provides specialized visualization tools for Single-Case Experimental Design (SCED) research using 'ggplot2'. SCED studies are a crucial methodology in behavioral and educational research where individual participants serve as their own controls through carefully designed experimental phases. This package extends 'ggplot2' to create publication-ready graphics with professional phase change lines, support for multiple baseline designs, and styling functions that follow SCED visualization conventions. Key functions include adding phase change demarcation lines to existing plots and formatting axes with broken axis appearance commonly used in single-case research.
Author: Shawn Gilroy [aut, cre, cph]
Maintainer: Shawn Gilroy <sgilroy1@lsu.edu>

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Package finlex updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-22

Title: Access Open Data from the Finnish 'Finlex' Legislative Database
Description: Provides functions to retrieve and structure Finnish legislative data made available through the 'Finlex' Open Data API (<https://www.finlex.fi/en/open-data>). Functions cover retrieval of statute catalogues, statute titles, structured statute metadata, and cross-references between amending and amended statutes, returned as tidy tibbles for further analysis.
Author: Kristian Vepsaelaeinen [aut, cre]
Maintainer: Kristian Vepsaelaeinen <kristian.vepsalainen@proton.me>

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Package BSCB updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-13

Title: Bayesian Simultaneous Credible Bands for Polynomial Regression
Description: Provides functions to construct two-sided Bayesian simultaneous credible bands (BSCBs) for the regression curve in univariate polynomial regression over a finite covariate interval. Six methods are implemented, including Normal-Gamma conjugate priors (with empirical Bayes, unit-information, and g-prior hyperparameter specifications), non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using 'cmdstanr', and a non-informative independent Jeffreys prior approach. Also includes functions for computing the empirical simultaneous coverage rate (ESCR) and posterior simultaneous coverage probability (PSCP), enabling performance comparison across methods. The methodology is described in: Yang et al. (2026). "Bayesian simultaneous credible bands for polynomial regression" <doi:10.48550/arXiv.2606.28015>.
Author: Fei Yang [aut, cre, cph] , Yang Han [aut, cph] , Wei Liu [aut, cph] , Ian Hall [aut, cph]
Maintainer: Fei Yang <fei.yang@manchester.ac.uk>

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Package tweedieDistr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-15

Title: Tweedie Distribution
Description: Provides density, distribution function, quantile function, and random generation for the Tweedie distribution under the compound Poisson-Gamma parameterisation with power parameter in (1, 2). The density is evaluated using the series expansion of Dunn and Smyth (2005) <doi:10.1007/s11222-005-4070-y>, implemented in C++ via 'Rcpp' and 'RcppArmadillo' for performance. A constructor compatible with the 'distributional' package is also provided for use in tidy modelling workflows.
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

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Package spatialwarnings updated to version 3.1.2 with previous version 3.1.1 dated 2025-08-18

Title: Spatial Early Warning Signals of Ecosystem Degradation
Description: Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation. EWS are spatial metrics derived from raster data -- e.g. spatial autocorrelation -- that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).
Author: Alain Danet [aut], Alexandre Genin [aut, cre] , Vishwesha Guttal [aut], Sonia Kefi [aut], Sabiha Majumder [aut], Sumithra Sankaran [aut], Florian Schneider [aut]
Maintainer: Alexandre Genin <alexandre.genin@inrae.fr>

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Package riemannianStats updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-17

Title: Riemannian Methods for Principal Component Analysis, Regression and Visualization
Description: Provides tools for statistical analysis on Riemannian manifolds using local geometry derived from Uniform Manifold Approximation and Projection (UMAP), Isometric Mapping (Isomap), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The package supports dimensionality reduction, visualization, Riemannian principal component analysis, and Riemannian linear regression for multivariate data analysis. Methods based on Uniform Manifold Approximation and Projection follow McInnes et al. (2018) <doi:10.21105/joss.00861>.
Author: Oldemar Rodriguez Rojas [aut, cre], Jennifer Lobo Vasquez [aut]
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>

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Package maptiles updated to version 0.12.0 with previous version 0.11.0 dated 2025-12-12

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb], Miles McBain [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package KScorrect updated to version 1.4.2 with previous version 1.4.0 dated 2019-07-03

Title: Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests
Description: Implements the Lilliefors-corrected Kolmogorov-Smirnov test for use in goodness-of-fit tests, suitable when population parameters are unknown and must be estimated by sample statistics. P-values are estimated by simulation. Can be used with a variety of continuous distributions, including normal, lognormal, univariate mixtures of normals, uniform, loguniform, exponential, gamma, and Weibull distributions. Functions to generate random numbers and calculate density, distribution, and quantile functions are provided for use with the log uniform and mixture distributions.
Author: Phil Novack-Gottshall [aut, cre], Steve C. Wang [aut]
Maintainer: Phil Novack-Gottshall <pnovack-gottshall@ben.edu>

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Package JDCruncheR updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-12

Title: 'JDemetra+' Quality Report Generator
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
Author: Tanguy Barthelemy [aut, cre, art], Eulalie Delaune [aut], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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 JDCruncheR-0.4.1/JDCruncheR/man/sort.Rd                                                                    |    4 
 JDCruncheR-0.4.1/JDCruncheR/man/weighted_score.Rd                                                          |   13 
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 JDCruncheR-0.4.1/JDCruncheR/man/write.Rd                                                                   |   27 
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Package tidyllm updated to version 0.5.1 with previous version 0.5.0 dated 2026-04-30

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

Diff between tidyllm versions 0.5.0 dated 2026-04-30 and 0.5.1 dated 2026-07-23

 DESCRIPTION                                                  |    6 
 LICENSE                                                      |    4 
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 NEWS.md                                                      |   24 
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Package serad updated to version 0.2.3 with previous version 0.2.2 dated 2026-07-01

Title: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d'Écrits Avec des Règles Automatisées et Dynamiques
Description: Provides tools for generating dynamic and standardized economic narratives in R Markdown documents. The package is primarily designed for French-language statistical and economic publications. It includes functions to describe changes in levels, percentages, trends, accelerations and short-term economic developments using consistent linguistic rules. The package supports automated reporting workflows and reproducible economic writing. Fournit des outils permettant de générer des textes économiques dynamiques et standardisés dans des documents R Markdown. Le package est principalement conçu pour les publications statistiques et économiques en français. Il propose des fonctions permettant de décrire les évolutions de niveaux, de pourcentages, de tendances, d'accélérations et les évolutions conjoncturelles à l'aide de règles linguistiques homogènes. Le package facilite l'automatisation de la rédaction et la reproductibilité des publications économiques.
Author: Alexandre Cazenave-Lacroutz [aut] , Jules Lejas [cre], Direction de l'animation de la recherche, des etudes et des statistiques [cph]
Maintainer: Jules Lejas <jules.lejas@gmail.com>

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Package RoME updated to version 0.2.4 with previous version 0.2.3 dated 2026-04-23

Title: Multiple Checks on MEDITS Trawl Survey Data
Description: Provides quality checks for MEDITS (International Bottom Trawl Survey in the Mediterranean) trawl survey exchange data tables (TA (Haul data), TB (Catch data), TC (Biological data), TE (Biological individual data), TL (Litter data)). The main function RoME() calls all check functions in a defined sequence to perform a complete quality control of TX (Generic exchange data) data, including header validation, controlled-vocabulary checks, cross-table consistency tests, and biological plausibility checks. No automatic correction is applied: the package detects errors, warns the user, and specifies the type of error to ease data correction. Checks can be run simultaneously on multi-year datasets. An embedded 'shiny' application is also provided via run_RoME_app(). References describing the methods: MEDITS Working Group (2017).
Author: Walter Zupa [aut, cre], Isabella Bitetto [aut], Maria Teresa Spedicato [aut], Loredana Casciaro [rev], Cosmidano Neglia [rev]
Maintainer: Walter Zupa <zupa@fondazionecoispa.org>

Diff between RoME versions 0.2.3 dated 2026-04-23 and 0.2.4 dated 2026-07-23

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Package ppwdeming updated to version 3.0.2 with previous version 2.1.0 dated 2026-03-15

Title: Precision Profile Weighted Deming Regression
Description: Weighted Deming regression, also known as 'errors-in-variable' regression, is applied with suitable weights. Weights are modeled via a precision profile; thus the methods implemented here are referred to as precision profile weighted Deming (PWD) regression. The package covers two settings – one where the precision profiles are known either from external studies or from adequate replication of the X and Y readings, and one in which there is a plausible functional form for the precision profiles but the exact (unknown) function must be estimated from the (generally singlicate) readings. The function set includes tools for: estimated standard errors (via jackknifing); standardized-residual analysis function with regression diagnostic tools for normality, linearity and constant variance; and an outlier analysis identifying significant outliers for closer investigation. The following reference provides further information on mathematical derivations and applications. Hawkins, D.M., and J.J [...truncated...]
Author: Douglas M. Hawkins [aut, cph], Jessica J. Kraker [aut, cre]
Maintainer: Jessica J. Kraker <krakerjj@uwec.edu>

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Package vDiveR updated to version 2.2.1 with previous version 2.2.0 dated 2026-05-11

Title: Visualization of Viral Protein Sequence Diversity Dynamics
Description: To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <pendytok0518@gmail.com>

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Package RcppParallel updated to version 6.0.0 with previous version 5.1.11-2 dated 2026-03-05

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package BAwiR updated to version 1.5.3 with previous version 1.5.2 dated 2026-06-11

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls, offensive rebounds and different types of shooting charts. Please see Vinue [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package whatifbandit updated to version 1.0.2 with previous version 0.3.0 dated 2025-11-03

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>

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Package WARDEN updated to version 2.0.6 with previous version 2.0.3 dated 2026-05-27

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package ThSQCA updated to version 2.0.5 with previous version 2.0.4 dated 2026-07-22

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (present in both parsimonious and intermediate solutions) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi: [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package taxify updated to version 0.4.0 with previous version 0.3.4 dated 2026-07-09

Title: Offline Taxonomic Name Matching Against Darwin Core Backbones
Description: Match taxonomic names against locally stored Darwin Core backbone databases ('WFO', 'COL', 'GBIF', 'ITIS', 'NCBI Taxonomy', 'Open Tree of Life', 'WoRMS', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database', 'LCVP', 'WCVP'). Provides offline fuzzy and exact matching with synonym resolution, hybrid name detection, and a unified output schema across all sources. All heavy computation runs in the 'vectra' C11 columnar engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package rgexf readmission to version 0.17.0 with previous version 0.16.3 dated 2024-07-01

Title: Build, Import, and Export GEXF Graph Files
Description: Create, read, and write 'GEXF' (Graph Exchange 'XML' Format) graph files (used in 'Gephi' and others). Using the 'XML' package, rgexf allows reading and writing GEXF files, including attributes, 'GEXF' visual attributes (such as color, size, and position), network dynamics (for both edges and nodes), and edges' weights. Users can build/handle graphs element-by-element or massively through data frames, visualize the graph on a web browser through 'gexf-js' (a 'javascript' library), and interact with the 'igraph' package.
Author: George Vega Yon [aut, cre] , Jorge Fabrega Lacoa [ctb], Joshua Kunst [ctb], Raphael Velt [cph] , Gephi Consortium [cph] , Cornelius Fritz [rev] , Jonathan Cardoso Silva [rev]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 0.16.3 dated 2024-07-01

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

Title: Assortative Mating Simulation and Multivariate Bernoulli Variates
Description: Simulation of phenotype / genotype data under assortative and disassortative mating. Includes functions for generating Bahadur order-2 multivariate Bernoulli variables with general and diagonal-plus-low-rank correlation structures, and for writing simulated genotypes to disk as binary int8 or PLINK bed files. Further details are provided in: Border and Malik (2023) <doi:10.1186/s12859-023-05442-6>.
Author: Richard Border [aut, cre] , Osman Malik [aut]
Maintainer: Richard Border <border.richard@gmail.com>

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Package qte readmission to version 2.0.0 with previous version 1.3.1 dated 2022-09-01

Title: Quantile Treatment Effects
Description: Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) treatment is randomly assigned, (ii) treatment is as good as randomly assigned after conditioning on covariates (selection on observables) using the methods of Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, and (iii) identification is based on a Difference in Differences assumption, with support for several varieties including Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x>, Callaway and Li (2019) <doi:10.3982/QE935>, and Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>. Version 2.0 adds a unified staggered treatment adoption API (built on 'ptetools') for all DiD-based estimators, as well as a new lagged-outcome unconfoundedness estimator ('lou_qtt').
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package PTT updated to version 1.0.1 with previous version 1.0 dated 2026-07-22

Title: Pólya Tree Type Models
Description: Fits Bayesian nonparametric models based on Pólya tree processes, including adaptive Pólya trees, Markov adaptive Pólya trees, optional Pólya trees, and their conditional-density counterparts. Methods are described in Ma (2017) <doi:10.1214/16-BA1021>, Ma (2017) <doi:10.1214/17-EJS1254>, and Wong and Ma (2010) <doi:10.1214/09-AOS755>.
Author: Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab@gmail.com>

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Package potential updated to version 0.3.0 with previous version 0.2.0 dated 2022-07-04

Title: Implementation of the Potential Model
Description: Provides functions to compute the potential model as defined by Stewart (1941) <doi:10.1126/science.93.2404.89>. Several options are available to customize the model, such as the possibility to fine-tune the distance friction functions or to use custom distance matrices. Some computations are parallelized to improve their efficiency.
Author: Timothee Giraud [cre, aut] , Hadrien Commenges [aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package netplot updated to version 0.4-0 with previous version 0.3-0 dated 2024-06-30

Title: Beautiful Graph Drawing
Description: A graph visualization engine that emphasizes on aesthetics at the same time providing default parameters that yield out-of-the-box-nice visualizations. The package is built on top of 'The Grid Graphics Package' and seamlessly work with 'igraph' and 'network' objects.
Author: George Vega Yon [aut, cre] , Porter Bischoff [aut]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package gpboost updated to version 1.7.1.1 with previous version 1.7.1 dated 2026-07-22

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package EFAtools updated to version 1.0.0 with previous version 0.8.0 dated 2026-07-07

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides a complete workflow for exploratory factor analysis (EFA). It covers data screening and factorability checks, a suite of factor retention criteria for choosing the number of factors, and factor extraction by principal axis factoring, maximum likelihood, unweighted least squares, or diagonally weighted least squares from Pearson, Spearman, Kendall, polychoric, tetrachoric, or two-stage full-information maximum likelihood correlations. A built-in rotation engine offers a range of orthogonal and oblique rotations, and standard errors for loadings and related quantities can be obtained by analytic, robust, or bootstrap methods. Further tools support model averaging across analytic choices, multigroup EFA with factor congruence, EFA on multiply imputed data, Schmid-Leiman transformation, reliability coefficients (including McDonald's omegas), factor score estimation, data simulation, and power analysis. Computationally intensive procedures are implemented in 'C++' for speed.
Author: Markus Steiner [aut, cre] , Silvia Steiner [aut] , William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb], Andreas Soteri [...truncated...]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

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Package drugprepr readmission to version 0.0.7 with previous version 0.0.4 dated 2021-11-09

Title: Prepare Electronic Prescription Record Data to Estimate Drug Exposure
Description: Prepare prescription data (such as from the Clinical Practice Research Datalink) into an analysis-ready format, with start and stop dates for each patient's prescriptions. Based on Pye et al (2018) <doi:10.1002/pds.4440>.
Author: Belay Birlie Yimer [aut] , David Selby [aut, cre, cph] , Meghna Jani [aut], Goran Nenadic [aut], Mark Lunt [aut], William G. Dixon [aut]
Maintainer: David Selby <David.Selby@dfki.de>

This is a re-admission after prior archival of version 0.0.4 dated 2021-11-09

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Package datarium updated to version 0.2.0 with previous version 0.1.0 dated 2019-05-21

Title: Data Bank for Statistical Analysis and Visualization
Description: Contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA. The package code is under GPL-2; the data sets are covered by the terms in the 'LICENSE.note' file (the author's data sets under CC0 1.0, and the 'heartdisease' data under CC BY 4.0, see the 'heartdisease' help page).
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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Package coalescentMCMC updated to version 0.5 with previous version 0.4-4 dated 2022-04-22

Title: MCMC Algorithms for the Coalescent
Description: Flexible framework for coalescent analyses in R. It includes a main function running the MCMC algorithm, auxiliary functions for tree rearrangement, and some functions to compute population genetic parameters. Extended description can be found in Paradis (2020) <doi:10.1201/9780429466700>. For details on the MCMC algorithm, see Kuhner et al. (1995) <doi:10.1093/genetics/140.4.1421> and Drummond et al. (2002) <doi:10.1093/genetics/161.3.1307>.
Author: Emmanuel Paradis [aut, cre, cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

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Package BioIndex updated to version 0.6.5 with previous version 0.6.4 dated 2026-05-29

Title: Biological Indicators and Indices for MEDITS Survey Data
Description: Supports the standardized analysis of Mediterranean International Bottom Trawl Survey (MEDITS) data and the calculation of biological indicators for selected species and population components. The package provides functions to estimate abundance and biomass indices, analyse size structure and length frequency distributions, derive sex ratio and maturity related metrics, explore spatial patterns, and assess temporal trends across surveys. Developed for integration within the Regional Database for Fisheries (RDBFIS) framework, it is intended to work on quality checked input data and to produce reproducible outputs that can support monitoring, comparative analyses among Geographical Sub-Areas (GSAs) and countries, and fishery management.
Author: Walter Zupa [aut, cre], Loredana Casciaro [rev], Cosmidano Neglia [rev], Isabella Bitetto [rev], Maria Teresa Spedicato [aut]
Maintainer: Walter Zupa <zupa@fondazionecoispa.org>

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Package simmr updated to version 0.5.3 with previous version 0.5.2 dated 2026-05-11

Title: A Stable Isotope Mixing Model
Description: Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms' tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load() and simmr_mcmc(). The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.
Author: Emma Govan [aut], Andrew Parnell [cre, aut]
Maintainer: Andrew Parnell <andrew.parnell1@ucd.ie>

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Package focus updated to version 0.1.9 with previous version 0.1.8 dated 2026-06-25

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Idris A. Eckley [aut], Paul Fearnhead [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

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Package jmotif updated to version 1.3.2 with previous version 1.3.1 dated 2026-07-08

Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms for time series discord (anomaly) discovery, grammatical compression, and interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

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Package dexter updated to version 1.8.0 with previous version 1.7.2 dated 2026-01-21

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package tidycensuskr updated to version 0.3.0 with previous version 0.2.8 dated 2026-05-04

Title: Easy Access for South Korea Census Data and Boundaries
Description: Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>

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Package WMFM updated to version 1.1.4 with previous version 1.0.4 dated 2026-07-04

Title: Explore Fitted Linear and Generalised Linear Models with 'shiny'
Description: Provides a 'shiny' application that helps learners connect regression tables to fitted generalised linear models. Users construct models via drag-and-drop controls, obtain fitted equations and plain-language explanations generated by a large language model, and can view plots of the fitted model in settings with a single continuous covariate.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package TMB updated to version 1.9.23 with previous version 1.9.22 dated 2026-07-21

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package sf updated to version 1.1-2 with previous version 1.1-1 dated 2026-05-06

Title: Simple Features for R
Description: Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' <doi:10.5281/zenodo.5884351> for reading and writing data, to 'GEOS' <doi:10.5281/zenodo.11396894> for geometrical operations, and to 'PROJ' <doi:10.5281/zenodo.5884394> for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.
Author: Edzer Pebesma [aut, cre] , Roger Bivand [ctb] , Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] , Kirill Mueller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [c [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package rcens updated to version 0.2.2 with previous version 0.1.1 dated 2024-03-19

Title: Generate Sample Censoring
Description: Provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supplies the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths. Additional functions generate complex inspection, delayed-entry, hybrid, progressive, covariate-dependent, frailty-dependent, and competing-risk observation structures while retaining a consistent and verifiable data object.
Author: Daniel Saavedra [aut, cre, cph] , Pedro L Ramos [aut]
Maintainer: Daniel Saavedra <dlsaavedra@uc.cl>

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Package Deriv updated to version 4.3.0 with previous version 4.2.0 dated 2025-06-20

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] , Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Wed, 22 Jul 2026

Package ThSQCA updated to version 2.0.4 with previous version 2.0.2 dated 2026-07-15

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (present in both parsimonious and intermediate solutions) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi: [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package KernSmoothIRT updated to version 6.6 with previous version 6.4 dated 2020-02-17

Title: Nonparametric Item Response Theory
Description: Fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.
Author: Angelo Mazza [aut], Antonio Punzo [aut], Brian McGuire [aut, cre]
Maintainer: Brian McGuire <mcguirebc@gmail.com>

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Package command updated to version 0.2.0 with previous version 0.1.3 dated 2025-11-22

Title: Process Command Line Arguments
Description: Process command line arguments, allowing scripts to behave like functions, with well-defined inputs and outputs. Helps make data analysis workflows more modular, and therefore more transparent, flexible, and reliable.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package artoo updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-01

Title: Lossless CDISC-Native Input and Output for Clinical Datasets
Description: Reads and writes clinical-trial datasets losslessly across 'SAS' XPORT (XPT), Clinical Data Interchange Standards Consortium (CDISC) Dataset-JSON, and 'Apache Parquet', applying a specification to produce submission-ready Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets. A single canonical metadata model carries labels, CDISC data types, lengths, 'SAS' display formats, controlled-terminology references, and sort keys identically across every format, so conversion between any two formats is lossless by construction. Pure 'R' and lightweight, with no external 'SAS' or 'Java' runtime. Implements the published format specifications for CDISC Dataset-JSON (<https://cdisc-org.github.io/DataExchange-DatasetJson/doc/dataset-json1-1.html>) and 'SAS' XPORT (<https://www.loc.gov/preservation/digital/formats/fdd/fdd000466.shtml>).
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

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Package rbmi updated to version 1.6.1 with previous version 1.6.0 dated 2026-01-23

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre] , Craig Gower-Page [aut], Isaac Gravestock [aut] , Alessandro Noci [aut], Marcel Wolbers [aut] , Daniel Sabanes Bove [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

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More information about rbmi at CRAN
Permanent link

Package qfratio updated to version 1.1.2 with previous version 1.1.1 dated 2024-02-08

Title: Moments and Distributions of Ratios of Quadratic Forms Using Recursion
Description: Evaluates moments of ratios (and products) of quadratic forms in normal variables, specifically using recursive algorithms developed by Bao and Kan (2013) <doi:10.1016/j.jmva.2013.03.002> and Hillier et al. (2014) <doi:10.1017/S0266466613000364>. Also provides distribution, quantile, and probability density functions of simple ratios of quadratic forms in normal variables with several algorithms. Originally developed as a supplement to Watanabe (2023) <doi:10.1007/s00285-023-01930-8> for evaluating average evolvability measures in evolutionary quantitative genetics, but can be used for a broader class of statistics. Generating functions for these moments are also closely related to the top-order zonal and invariant polynomials of matrix arguments.
Author: Junya Watanabe [aut, cre, cph] , Patrick Alken [cph] , Brian Gough [cph] , Pavel Holoborodko [cph] , Gerard Jungman [cph] , Reid Priedhorsky [cph] , Free Software Foundation, Inc. [cph]
Maintainer: Junya Watanabe <Junya.Watanabe@vetmeduni.ac.at>

Diff between qfratio versions 1.1.1 dated 2024-02-08 and 1.1.2 dated 2026-07-22

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 MD5                                   |  240 ++++-----
 NAMESPACE                             |    1 
 NEWS.md                               |    8 
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 README.md                             |   22 
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More information about qfratio at CRAN
Permanent link

Package DBItest updated to version 1.8.3 with previous version 1.8.2 dated 2024-12-07

Title: Testing DBI Backends
Description: A helper that tests DBI back ends for conformity to the interface.
Author: Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between DBItest versions 1.8.2 dated 2024-12-07 and 1.8.3 dated 2026-07-22

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Package datasetviewer updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-09

Title: 'SAS Studio'-Style Interactive Dataset Viewer
Description: An interactive dataset viewer that renders a fast, scrollable grid with a column-selection panel, per-column property metadata, and a names-versus-labels header toggle, modelled on the 'SAS Studio' table viewer. Runs from one codebase in interactive 'Shiny' apps and in static HTML documents, with a free-text row filter, header sort, and CSV export, and handles large datasets without row sampling by querying them in the browser with 'DuckDB-WASM'.
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

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Package bpcp updated to version 1.5.5 with previous version 1.5.4 dated 2026-07-21

Title: Beta Product Confidence Procedure for Right Censored Data
Description: Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.
Author: Michael P. Fay [aut, cre], Allyson Mateja [ctb], Megan Grieco [ctb]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package BioMonTools updated to version 1.3.1 with previous version 1.2.4 dated 2025-10-09

Title: Biomonitoring and Bioassessment Calculations
Description: An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.
Author: Erik W. Leppo [aut, cre] , Jen Stamp [ctb], John van Sickles [ctb], Ben Block [ctb]
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>

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Package xtife updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-21

Title: Interactive Fixed Effects Estimator for Panel Data
Description: Implements the interactive fixed effects ('IFE') panel estimator of Bai (2009) <doi:10.3982/ECTA6135> for balanced and unbalanced panels, with optional additive unit and/or time fixed effects. Provides analytical standard errors ('homoskedastic', 'HC1' heteroskedasticity-robust, cluster-robust by unit, and heteroskedasticity- and autocorrelation- consistent), together with asymptotic incidental-parameter bias correction for large panels, including a dynamic extension for predetermined (lagged-dependent) regressors following Moon and Weidner (2017) <doi:10.1017/S0266466615000328>. The number of factors is chosen by information criteria (Bai and Ng 2002 <doi:10.1111/1468-0262.00273>) or by singular value thresholding. Unbalanced panels are handled by an expectation-maximisation algorithm with nuclear-norm-regularised initialisation, with estimation, analytical inference, and bias correction following Su, Wang and Wang (2025) <doi:10.2139/ssrn.5177283> and building [...truncated...]
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>

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Package MLCOPULA readmission to version 1.1.1 with previous version 1.1.0 dated 2025-09-19

Title: Classification Models with Copula Functions
Description: Provides several classifiers based on probabilistic models. These classifiers allow to model the dependence structure of continuous features through bivariate copula functions and graphical models, see Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alberto Lopez Hernandez [aut, cph] , Juan Manuel Marquez Romero [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>

This is a re-admission after prior archival of version 1.1.0 dated 2025-09-19

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Package frbs updated to version 3.3-0 with previous version 3.2-0 dated 2019-12-15

Title: Fuzzy Rule-Based Systems for Classification and Regression Tasks
Description: An implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression tasks. Moreover, it allows to construct an FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squar [...truncated...]
Author: Lala Septem Riza [aut], Christoph Bergmeir [aut, cre], Francisco Herrera [aut], Jose Manuel Benitez [aut]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

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Package barry updated to version 0.2.2 with previous version 0.2.1 dated 2025-12-01

Title: Your Go-to Motif Accountant
Description: Provides the 'C++' header-only library 'barry' for use in R packages. 'barry' is a 'C++' template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. It provides tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and includes modules for Discrete Exponential Family Models (DEFMs) and network statistics. By placing these headers in this package, we offer an efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. This package follows the same approach as the 'BH' package which provides 'Boost' headers for R packages.
Author: George Vega Yon [aut, cre] , U.S. Army Medical Research Acquisition Activity [fnd] , National Cancer Institute [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package weightflow updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-30

Title: Declarative API for Staged Survey Weights
Description: Builds survey weights from design base weights by chaining hierarchical adjustments (unknown eligibility, nonresponse and calibration) through a declarative, pipeable, 'tidymodels'-style API. Calibration follows Deville and Sarndal (1992) <doi:10.2307/2290268>. Variances are obtained with a bootstrap that resamples primary sampling units and re-applies the whole recipe on each replicate, following the rescaling bootstrap of Rao and Wu (1988) <doi:10.1080/01621459.1988.10478591>, so the replicate weights carry the variability of every adjustment. The weights also bridge to the 'survey' and 'srvyr' packages for design-based inference.
Author: Juan Pablo Ferreira [aut, cre]
Maintainer: Juan Pablo Ferreira <juanpablo.ferreira@fcea.edu.uy>

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Package starburst updated to version 0.3.9 with previous version 0.3.8 dated 2026-03-19

Title: Seamless AWS Cloud Bursting for Parallel R Workloads
Description: A 'future' backend that enables seamless execution of parallel R workloads on 'Amazon Web Services' ('AWS', <https://aws.amazon.com>), including 'EC2' and 'Fargate'. 'staRburst' handles environment synchronization, data transfer, quota management, and worker orchestration automatically, allowing users to scale from local execution to 100+ cloud workers with a single line of code change.
Author: Scott Friedman [aut, cre]
Maintainer: Scott Friedman <help@starburst.ing>

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Package qif updated to version 1.5.1 with previous version 1.5 dated 2019-07-20

Title: Quadratic Inference Function
Description: Developed to perform the estimation and inference for regression coefficient parameters in longitudinal marginal models using the method of quadratic inference functions. Like generalized estimating equations, this method is also a quasi-likelihood inference method. It has been showed that the method gives consistent estimators of the regression coefficients even if the correlation structure is misspecified, and it is more efficient than GEE when the correlation structure is misspecified. Based on Qu, A., Lindsay, B.G. and Li, B. (2000) <doi:10.1093/biomet/87.4.823>.
Author: Zhichang Jiang [aut], Peter Song [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <biostat-cran-manager@umich.edu>

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Package OhdsiShinyAppBuilder updated to version 1.1.0 with previous version 1.0.0 dated 2024-12-10

Title: Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules
Description: Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>.
Author: Jenna Reps [aut, cre], Nathan Hall [aut], Josh Ide [aut], Jamie Gibert [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

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Package mlpack updated to version 4.8.0-1 with previous version 4.8.0 dated 2026-07-16

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

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Package ipeadatar updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-28

Title: API Wrapper for 'Ipeadata'
Description: Provides direct access to the macroeconomic, financial, and regional database maintained by the Institute for Applied Economic Research (Ipea) via the Ipeadata API. For more information, see <https://www.ipeadata.gov.br/>.
Author: Luiz Eduardo Gomes [aut, cre] , Daniel Herszenhut [ctb] , Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Luiz Eduardo Gomes <luiz.gomes@ipea.gov.br>

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Package hubEvals updated to version 0.4.0 with previous version 0.3.1 dated 2026-07-17

Title: Tools for Scoring and Evaluating Hubverse Model Outputs
Description: Provides tools for scoring and evaluating 'hubverse' model outputs against observed data, wrapping scoring workflows from the 'scoringutils' package and bridging hubverse model output formats to 'scoringutils' forecast classes.
Author: Anna Krystalli [aut, cre] , Nicholas Reich [aut] , Evan Ray [aut], Nikos Bosse [aut] , Kimberlyn Roosa [aut], Zhian Kamvar [ctb] , Li Shandross [ctb] , Becky Sweger [ctb], Lucie Contamin [ctb], Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

Diff between hubEvals versions 0.3.1 dated 2026-07-17 and 0.4.0 dated 2026-07-22

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Package gpboost updated to version 1.7.1 with previous version 1.7.0.1 dated 2026-07-13

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.7.0.1 dated 2026-07-13 and 1.7.1 dated 2026-07-22

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Package ff updated to version 4.5.3 with previous version 4.5.2 dated 2025-01-12

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf cla [...truncated...]
Author: Daniel Adler [aut], Christian Glaeser [ctb], Oleg Nenadic [ctb], Jens Oehlschlaegel [aut, cre], Martijn Schuemie [ctb], Walter Zucchini [ctb]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

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Package fdaSP updated to version 1.1.3 with previous version 1.1.2 dated 2026-04-27

Title: Sparse Functional Data Analysis Methods
Description: Provides algorithms to fit linear regression models under several popular penalization techniques and functional linear regression models based on Majorizing-Minimizing (MM) and Alternating Direction Method of Multipliers (ADMM) techniques. See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.
Author: Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>

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Package copBasic updated to version 2.2.15 with previous version 2.2.14 dated 2026-05-22

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

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Package zmctp updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-09

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

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Package doseminer readmission to version 0.2.1 with previous version 0.1.2 dated 2021-07-19

Title: Extract Drug Dosages from Free-Text Prescriptions
Description: Utilities for converting unstructured electronic prescribing instructions into structured medication data. Extracts drug dose, units, daily dosing frequency and intervals from English-language prescriptions. Based on Karystianis et al. (2015) <doi:10.1186/s12911-016-0255-x>.
Author: David Selby [aut, cre] , Belay Birlie Yimer [ctb], Ben Marwick [ctb]
Maintainer: David Selby <david_antony.selby@dfki.de>

This is a re-admission after prior archival of version 0.1.2 dated 2021-07-19

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Package TDLM updated to version 1.1.4 with previous version 1.1.3 dated 2025-10-03

Title: Systematic Comparison of Trip Distribution Laws and Models
Description: The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.
Author: Maxime Lenormand [aut, cre]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

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Package SlimR updated to version 1.1.7 with previous version 1.1.6 dated 2026-06-30

Title: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
Description: Annotates single-cell and spatial-transcriptomic (ST) data using context-matching marker datasets. It creates a unified marker list (`Markers_list`) from multiple sources: built-in curated databases ('Cellmarker2', 'PanglaoDB', 'ScType', 'scIBD', 'TCellSI', 'PCTIT', 'PCTAM'), Seurat objects with cell labels, or user-provided Excel tables. SlimR first uses adaptive machine learning for parameter optimization, and then offers two automated annotation approaches: 'cluster-based' and 'per-cell'. Cluster-based annotation assigns one label per cluster, expression-based probability calculation, and AUC validation. Per-cell annotation assigns labels to individual cells using three scoring methods with adaptive thresholds and ratio-based confidence filtering, plus optional UMAP spatial smoothing, making it ideal for heterogeneous clusters and rare cell types. The package also supports semi-automated workflows with heatmaps, feature plots, and combined visualizations for manual annotation. For m [...truncated...]
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>

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Package rbiodatacr updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-05

Title: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica
Description: Provides functions to query occurrence records, species information, and datasets from BIODATACR <https://biodiversidad.go.cr>, the national biodiversity information platform of Costa Rica managed by the Technical Office of CONAGEBIO. Built on the Atlas of Living Australia (ALA) API infrastructure.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package pak updated to version 0.11.1 with previous version 0.11.0 dated 2026-07-15

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package MRS readmission to version 1.3.2 with previous version 1.2.6 dated 2023-12-11

Title: Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences
Description: Implements the multi-resolution scanning (MRS) method for cross-sample distribution comparisons, as described in Soriano and Ma (2017) <doi:10.1111/rssb.12180>, and the analysis of distributional variation (ANDOVA) method for cross-group comparisons introduced in Ma and Soriano (2018) <doi:10.1080/10618600.2017.1402774>. Both methods use nonparametric models on multi-resolution partition trees to detect and characterize differences among distributions, with tools for visualizing the results.
Author: Jacopo Soriano [aut], Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab@gmail.com>

This is a re-admission after prior archival of version 1.2.6 dated 2023-12-11

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Package Luminescence updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-25

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

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More information about Luminescence at CRAN
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Package geocodebr updated to version 0.6.4 with previous version 0.6.3 dated 2026-05-24

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geocodebr versions 0.6.3 dated 2026-05-24 and 0.6.4 dated 2026-07-22

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More information about geocodebr at CRAN
Permanent link

Package fluxible updated to version 1.4.0 with previous version 1.3.6 dated 2026-02-05

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Toolbox to process raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Organized with one function per step, maximizing user flexibility and backwards compatibility. Different models to estimate the fluxes from the raw data are available: exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, exponential as described in Hutchinson and Mosier (1981) <doi:10.2136/sssaj1981.03615995004500020017x>, quadratic, and linear. Other functions include quality assessment, plotting for visual check, calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...), gross primary production and transpiration rate calculation, and light response curves.
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

Diff between fluxible versions 1.3.6 dated 2026-02-05 and 1.4.0 dated 2026-07-22

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 R/flux_calc_vol.R                                                                |only
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 R/flux_fitting_exptz.R                                                           |    3 
 R/flux_fitting_hm.R                                                              |    3 
 R/flux_fitting_lm.R                                                              |    3 
 R/flux_fitting_quadratic.R                                                       |    3 
 R/flux_fitting_zhao18.R                                                          |    3 
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 R/flux_fortify.R                                                                 |   13 
 R/flux_gep.R                                                                     |    3 
 R/flux_gpp.R                                                                     |   14 
 R/flux_lrc.R                                                                     |   17 
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 R/flux_plot.R                                                                    |   27 -
 R/flux_quality.R                                                                 |   82 ++-
 R/flux_units.R                                                                   |   12 
 R/stupeflux.R                                                                    |   18 
 README.md                                                                        |   49 +
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Package elect updated to version 1.2.1 with previous version 1.2 dated 2019-04-03

Title: Estimation of Life Expectancies Using Multi-State Models
Description: Functions to compute state-specific and marginal life expectancies. The computation is based on a fitted continuous-time multi-state model that includes an absorbing death state; see Van den Hout (2017, ISBN:9781466568402). The fitted multi-state model model should be estimated using the 'msm' package using age as the time-scale.
Author: Ardo van den Hout [aut, cre], Mei Sum Chan [aut]
Maintainer: Ardo van den Hout <ardo.vandenhout@ucl.ac.uk>

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Package ebrahim.gof updated to version 2.4.0 with previous version 2.1.0 dated 2026-06-17

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. The package introduces the author's own tests aimed at sparse data --- the omnibus Ebrahim-Farrington (EF) test, the Directed EF ('EDGE') test that targets smooth calibration-shape departures, and a Cauchy-combination ensemble --- and aggregates a wide range of classical and modern tests for comparison, including Hosmer-Lemeshow, McCullagh, Osius-Rojek, le Cessie-van Houwelingen, Stute-Zhu, the binary-adaptive 'BAGofT' test, and the 'GiViTI' calibration test (each obtained from its own package, where installed, and attributed to its authors). The tools are particularly suited to sparse data, where the Hosmer-Lemeshow test loses power. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package COMPoissonReg updated to version 0.8.2 with previous version 0.8.1 dated 2023-11-29

Title: Conway-Maxwell Poisson (COM-Poisson) Regression
Description: Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016) <doi:10.1016/j.csda.2016.01.007> is also supported.
Author: Kimberly Sellers [aut], Thomas Lotze [aut], Andrew Raim [cre, aut]
Maintainer: Andrew Raim <andrew.raim@gmail.com>

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Package nuggets updated to version 2.2.2 with previous version 2.2.1 dated 2026-06-10

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package lwc2022 updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-20

Title: Langa-Weir Classification of Cognitive Function for 2022 HRS Data
Description: Generates the Langa-Weir classification of cognitive function for the 2022 Health and Retirement Study (HRS) cognition data. It is particularly useful for researchers studying cognitive aging who wish to work with the most recent release of HRS data. The package provides user-friendly functions for data preprocessing, scoring, and classification allowing users to easily apply the Langa-Weir classification system. For details regarding the; HRS <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2022>.
Author: Cormac Monaghan [cph, aut, cre] , Rafael de Andrade Moral [aut] , Joanna McHugh Power [aut]
Maintainer: Cormac Monaghan <cormacmonaghan@protonmail.com>

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Package flint updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-19

Title: Fast Library for Number Theory
Description: An R interface to 'FLINT' <https://flintlib.org/>, a C library for number theory. 'FLINT' extends GNU 'MPFR' <https://www.mpfr.org/> and GNU 'MP' <https://gmplib.org/> with support for operations on standard rings (the integers, the integers modulo n, finite fields, the rational, p-adic, real, and complex numbers) as well as matrices and polynomials over rings. 'FLINT' implements midpoint-radius interval arithmetic, also known as ball arithmetic, in the real and complex numbers, enabling computation in arbitrary precision with rigorous propagation of rounding and other errors; see Johansson (2017) <doi:10.1109/TC.2017.2690633>. Finally, 'FLINT' provides ball arithmetic implementations of many special mathematical functions, with high coverage of reference works such as the NIST Digital Library of Mathematical Functions <https://dlmf.nist.gov/>. The R interface defines S4 classes, generic functions, and methods for representation and basic operations as [...truncated...]
Author: Mikael Jagan [aut, cre] , Martin Maechler [ctb]
Maintainer: Mikael Jagan <jaganmn2@gmail.com>

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Package cooccure updated to version 0.4.0 with previous version 0.1.1 dated 2026-04-24

Title: Co-Occurrence Network Construction and Manipulation
Description: Constructs co-occurrence networks from several types of input data, such as delimited fields, long/bipartite tables, binary matrices, or wide sequences. Returns tidy edge data frames and supports optional scaling, splitting into several networks, thresholding, and subsetting. Provides eight similarity measures, including Jaccard, cosine, and association strength. Supports export to several network and file formats. Network construction and analysis methods follow Saqr, Lopez-Pernas, Conde, and Hernandez-Garcia (2024, <doi:10.1007/978-3-031-54464-4_15>).
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut, cph], Kamila Misiejuk [aut, cph]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package vcvComp updated to version 1.0.3 with previous version 1.0.2 dated 2020-12-17

Title: Comparison of Variance - Covariance Patterns
Description: Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) <doi:10.5061/dryad.fc02f>.
Author: Anne Le Maitre [aut, cre] , Philipp Mitteroecker [aut]
Maintainer: Anne Le Maitre <anne.le.maitre@univie.ac.at>

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Package RTMBdist readmission to version 1.0.5 with previous version 1.0.4 dated 2026-04-09

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

This is a re-admission after prior archival of version 1.0.4 dated 2026-04-09

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Package NPHazardRate updated to version 0.3 with previous version 0.1 dated 2018-11-02

Title: Nonparametric Hazard Rate Estimation
Description: Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformations based, see e.g. Bagkavos (2008), <doi:10.1080/10485250802440184>, discrete and semiparametric hazard rate estimators.
Author: Dimitrios Bagkavos [aut, cre]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

Diff between NPHazardRate versions 0.1 dated 2018-11-02 and 0.3 dated 2026-07-22

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Permanent link

Package fntl updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-12

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

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Package eVCGsampler updated to version 1.1.2 with previous version 1.1.0 dated 2026-07-06

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

Diff between eVCGsampler versions 1.1.0 dated 2026-07-06 and 1.1.2 dated 2026-07-22

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Package RStoolbox updated to version 1.0.2.3 with previous version 1.0.2.2 dated 2025-10-02

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

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Package ggmlR updated to version 0.8.2 with previous version 0.8.1 dated 2026-07-13

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between ggmlR versions 0.8.1 dated 2026-07-13 and 0.8.2 dated 2026-07-22

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Package hassediagrams updated to version 2.1 with previous version 2.0 dated 2026-01-17

Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>

Diff between hassediagrams versions 2.0 dated 2026-01-17 and 2.1 dated 2026-07-22

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Package graphlayouts updated to version 1.2.5 with previous version 1.2.4 dated 2026-06-19

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between graphlayouts versions 1.2.4 dated 2026-06-19 and 1.2.5 dated 2026-07-22

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Package dtms updated to version 0.5.0 with previous version 0.4.2 dated 2026-02-25

Title: Discrete-Time Multistate Models
Description: Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.
Author: Christian Dudel [aut, cre]
Maintainer: Christian Dudel <dudel@demogr.mpg.de>

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Package alternativeROC updated to version 1.0.5 with previous version 1.0.4 dated 2025-11-24

Title: Alternative and Fast ROC Analysis
Description: Alternative and fast algorithms for the analysis of receiver operating characteristics curves (ROC curves) as described in Thomas et al. (2017) <doi:10.1186/s41512-017-0017-y> and Thomas et al. (2023) <doi:10.1016/j.ajogmf.2023.101110>.
Author: Gregoire Thomas [aut, cre] , Robin Tuytten [ctb] , Jef Moerman [ctb], Xavier Robin [cph] , Stefan Siegert [cph]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>

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Package lstar updated to version 0.2.1 with previous version 0.1.0 dated 2026-06-22

Title: Uniform Data Model and 'Zarr' Interchange for Single-Cell Omics
Description: A lightweight interchange layer for single-cell and spatial omics data, built on the L-star model of labelled axes and typed fields over them, serialized to the 'Zarr' format. Provides bidirectional converters ("profiles") for 'Seurat', 'SingleCellExperiment', 'Conos', and 'pagoda2' objects, including collections of heterogeneous samples, via a shared C++ core ('libstar') so the same store is readable from R, 'Python', and C++.
Author: Peter Kharchenko [aut, cre]
Maintainer: Peter Kharchenko <pk.restricted@gmail.com>

Diff between lstar versions 0.1.0 dated 2026-06-22 and 0.2.1 dated 2026-07-22

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Package kardl updated to version 2.0.5 with previous version 2.0.4 dated 2026-07-17

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin karamelikli <hakperest@gmail.com>

Diff between kardl versions 2.0.4 dated 2026-07-17 and 2.0.5 dated 2026-07-22

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Package gert updated to version 2.4.0 with previous version 2.3.1 dated 2026-01-11

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Maelle Salmon [aut] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gert versions 2.3.1 dated 2026-01-11 and 2.4.0 dated 2026-07-22

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Package PrInDT updated to version 2.0.3 with previous version 2.0.2 dated 2025-09-11

Title: Prediction and Interpretation in Decision Trees for Classification and Regression
Description: Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for c [...truncated...]
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs@tu-dortmund.de>

Diff between PrInDT versions 2.0.2 dated 2025-09-11 and 2.0.3 dated 2026-07-22

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Package nwsrfsr updated to version 1.0.3 with previous version 1.0.2 dated 2026-07-17

Title: NWS Hydrology Models: SAC-SMA, SNOW17, UH, CONSUSE, CHANLOSS
Description: Interface to the National Weather Service operational hydrology models, Sacramento Soil Moisture Accounting (SAC-SMA), Snow Accumulation and Ablation (SNOW17). Also provides an interface to the unit hydrograph routing model (UH), consumptive use (CONSUSE) and channel loss/gain modules (CHANLOSS). The Fortran code used in this package is considered "legacy" and is not supported officially by NWS, but it should not have any significant differences from current operational models.
Author: Cameron Bracken [aut, cre] , Geoffrey Walters [aut] , Eric Anderson [ctb] ), George F. Smith [ctb] ), Janice M. Lewis [ctb] ), John E. Pask [ctb] ; see inst/COPYRIGHTS), Ondrej Certik [ctb] , John Burkardt [ctb] , National Oceanic and Atmospheric Adm [...truncated...]
Maintainer: Cameron Bracken <cameron.bracken@pnnl.gov>

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Package HLAtools updated to version 1.11.0 with previous version 1.6.3 dated 2025-07-21

Title: Toolkit for HLA Immunogenomics
Description: A toolkit for the analysis and management of data for genes in the so-called "Human Leukocyte Antigen" (HLA) region. Functions extract reference data from the Anthony Nolan HLA Informatics Group/ImmunoGeneTics HLA 'GitHub' repository (ANHIG/IMGTHLA) <https://github.com/ANHIG/IMGTHLA>, validate Genotype List (GL) Strings, convert between UNIFORMAT and GL String Code (GLSC) formats, translate HLA alleles and GLSCs across ImmunoPolymorphism Database (IPD) IMGT/HLA Database release versions, identify differences between pairs of alleles at a locus, generate customized, multi-position sequence alignments, trim and convert allele-names across nomenclature epochs, and extend existing data-analysis methods. Tran et al., (2025) <doi:10.1111/iji.70013>.
Author: Livia Tran [aut], Ryan Nickens [aut], Leamon Crooms IV [aut], Derek Pappas [aut], Vinh Luu [ctb], Josh Bredeweg [ctb], Steven Mack [aut, cre]
Maintainer: Steven Mack <Steven.Mack@ucsf.edu>

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Package greta.dynamics readmission to version 0.2.3 with previous version 0.2.2 dated 2024-11-13

Title: Modelling Structured Dynamical Systems in 'greta'
Description: A 'greta' extension for analysing transition matrices and ordinary differential equations representing dynamical systems. Provides functions for analysing transition matrices by iteration, and solving ordinary differential equations. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
Author: Nick Golding [aut, cph] , Nicholas Tierney [aut, cre]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2024-11-13

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Package geosapi updated to version 0.8-1 with previous version 0.8 dated 2026-01-12

Title: GeoServer REST API R Interface
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <https://docs.geoserver.org/main/en/user/rest/>.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package FlowRegEnvCost updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-18

Title: The Environmental Costs of Flow Regulation
Description: An application to calculate the daily environmental costs of river flow regulation by dams based on García de Jalón et al. (2017) <doi:10.1007/s11269-017-1663-0>.
Author: Silvestre Garcia de Jalon [aut], Javier Martinez-Lopez [aut, cre], Marta Gonzalez del Tanago [aut], Carlos Alonso [aut], Diego Garcia de Jalon [aut]
Maintainer: Javier Martinez-Lopez <javi.martinez.lopez@gmail.com>

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Package AMCP updated to version 2.0.0 with previous version 1.0.2 dated 2024-06-07

Title: Data Sets to Accompany Designing Experiments and Analyzing Data: A Model Comparison Perspective (Maxwell, Delaney, and Kelley, 2027, 4th Edition)
Description: Data sets that accompany the book "Designing experiments and analyzing data: A model comparison perspective" (4th ed.) by Maxwell, Delaney, and Kelley (2027; ISBN 978-1-041-25384-6; Routledge). Contains all of the data sets in the book's chapters and end-of-chapter exercises. Beginning with version 2.0, the package is tailored to the 4th edition of the book; for the data as distributed with the 3rd edition (2018), install the archived version 1.0.2 from CRAN. We recommend the 'DMAR' package as the companion for carrying out the book's analyses; these analyses are illustrated in the book itself using the 'MBESS' package, which may be used as well. The book's companion website is available at <https://designingexperiments.com/> and its publisher page at <https://www.routledge.com/Designing-Experiments-and-Analyzing-Data-A-Model-Comparison-Perspective/Maxwell-Delaney-Kelley/p/book/9781041253846>.
Author: Scott E. Maxwell [aut], Harold D. Delaney [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

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Package tabnet updated to version 0.9.1 with previous version 0.9.0 dated 2026-06-12

Title: Fit 'TabNet' Models for Classification and Regression
Description: Implements the 'TabNet' model by Sercan O. Arik et al. (2019) <doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label Classification Networks' by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for fitting and creating predictions. It's also fully compatible with the 'tidymodels' ecosystem.
Author: Daniel Falbel [aut], RStudio [cph], Christophe Regouby [cre, ctb], Egill Fridgeirsson [ctb], Philipp Haarmeyer [ctb], Sven Verweij [ctb]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>

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Package plotly updated to version 4.12.1 with previous version 4.12.0 dated 2026-01-24

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] , Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] , Pedro Despouy [aut], Salim Brueggemann [ctb] , Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

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Package HeterFunctionalData updated to version 1.0 with previous version 0.1.0 dated 2020-08-20

Title: Test of No Main and/or Interaction Effects in Functional Data
Description: Distribution free heteroscedastic tests for functional data. The following tests are included in this package: test of no main treatment or contrast effect and no simple treatment effect given in Wang, Higgins, and Blasi (2010) <doi:10.1016/j.spl.2009.11.016>, no main time effect, and no interaction effect based on original observations given in Wang and Akritas (2010a) <doi:10.1080/10485250903171621> and tests based on ranks given in Wang and Akritas (2010b) <doi:10.1016/j.jmva.2010.03.012>.
Author: Haiyan Wang [aut, cre], Michael Akritas [aut], James Higgins [aut], Dale Blasi [aut]
Maintainer: Haiyan Wang <hwang@ksu.edu>

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Package gelnet updated to version 1.2.2 with previous version 1.2.1 dated 2016-04-05

Title: Generalized Elastic Nets
Description: Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.
Author: Artem Sokolov [aut, cre]
Maintainer: Artem Sokolov <artem.sokolov@gmail.com>

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Package AGHmatrix updated to version 3.0.1 with previous version 2.1.4 dated 2023-10-03

Title: Relationship Matrices for Diploid and Autopolyploid Species
Description: Fast computation of A (pedigree), G (genomic-base), and H (A corrected by G) relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models.
Author: Rodrigo Amadeu [aut, cre], Luis Ferrao [aut, ctb], Thiago Oliveira [aut, ctb], Catherine Cellon [ctb], Leticia Lara [ctb], Marcio Resende [ctb], Ivone Oliveira [ctb], Patricio Munoz [ctb], Augusto Garcia [ctb]
Maintainer: Rodrigo Amadeu <rramadeu@gmail.com>

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Package oddnet updated to version 0.1.2 with previous version 0.1.1 dated 2024-02-11

Title: Anomaly Detection in Temporal Networks
Description: Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a feature-based method to identify anomalies. First, it computes many features for each network. Then it models the features using time series methods. Using time series residuals it detects anomalies. This way, the temporal dependencies are accounted for when identifying anomalies (Kandanaarachchi, Sanderson, Hyndman 2024) <doi:10.1109/ISCMI63661.2024.10851659>.
Author: Sevvandi Kandanaarachchi [aut, cre] , Rob Hyndman [aut]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package mmbcv updated to version 1.0.0 with previous version 0.3.0 dated 2026-03-31

Title: Multistate Model Bias-Corrected Robust Variance
Description: Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. Also provides Wald tests for heterogeneity, generalized least-squares linear trends, and order-restricted trends among transition-specific coefficients. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) <doi:10.1002/bimj.202200113> to the multi-state setting.
Author: Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>

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Package geigen updated to version 2.4 with previous version 2.3 dated 2019-05-30

Title: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description: Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.
Author: Berend Hasselman [aut], Jonathan M. Lees [cre], Lapack authors [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package endogeneity updated to version 2.1.6 with previous version 2.1.5 dated 2025-10-12

Title: Recursive Two-Stage Models to Address Endogeneity
Description: Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package distributions3 updated to version 0.2.4 with previous version 0.2.3 dated 2025-09-12

Title: Probability Distributions as S3 Objects
Description: Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
Author: Alex Hayes [aut] , Ralph Moller-Trane [aut] , Daniel Jordan [aut], Paul Northrop [aut] , Moritz N. Lang [aut] , Achim Zeileis [aut, cre] , Emil Hvitfeldt [ctb] , Bruna Wundervald [ctb] , Alessandro Gasparini [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package dichromat updated to version 2.0-1 with previous version 2.0-0.1 dated 2022-05-02

Title: Color Schemes for Dichromats
Description: Collapse red-green or green-blue distinctions to simulate the effects of different types of color-blindness based on the work of Françoise Viénot and co-authors, especially <doi:10.1038/376127a0> and <doi:10.1364/josaa.14.002647>. More recent functions for simulating color vision deficiency are provided in the 'colorspace' package.
Author: Thomas Lumley [aut] , Achim Zeileis [aut, cre] , Kenneth Knoblauch [ctb] , Scott Waichler [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Tue, 21 Jul 2026

Package rregm updated to version 1.3 with previous version 1.2 dated 2026-06-08

Title: Reparameterized Regression Models
Description: Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma, beta prime, log-normal and log-logistic distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, except for the log-logistic model which is based on alternative parametrizations. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>. The package also implements higher-order likelihood inference through Skovgaard-adjusted likelihood ratio statistics and predictive shrinkage estimators reparameterized beta regression models.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut], Tiago Magalhaes [ctb], Rafael Izbicki [ctb]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package RMediation updated to version 1.6.1 with previous version 1.5.0 dated 2026-06-19

Title: Mediation Analysis Confidence Intervals
Description: Computes confidence intervals for nonlinear functions of model parameters (e.g., product of k coefficients) in single-level and multilevel structural equation models. Methods include the distribution of the product, Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based Constrained Optimization (MBCO) procedure for hypothesis testing of indirect effects. References: Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692-700. <doi:10.3758/s13428-011-0076-x>; Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure. Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>; Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects. Frontiers in Psychology, 10, 2989. <doi:10.3389/fpsyg.2019.02989>.
Author: Davood Tofighi [aut, cre]
Maintainer: Davood Tofighi <dtofighi@gmail.com>

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Package mascarade updated to version 0.4.1 with previous version 0.3.5 dated 2026-07-08

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package sofa updated to version 0.4.2 with previous version 0.4.0 dated 2020-06-26

Title: Connector to 'CouchDB'
Description: Provides an interface to the 'NoSQL' database 'CouchDB' (<https://couchdb.apache.org/>). Methods are provided for managing databases within 'CouchDB', including creating/deleting/updating/transferring, and managing documents within databases. One can connect with a local 'CouchDB' instance, or a remote 'CouchDB' database such as 'IBM Cloudant'. Documents can be inserted directly from vectors, lists, data.frames, and 'JSON'. Targeted at 'CouchDB' v2 or greater.
Author: Yaoxiang Li [aut, cre] , Eduard Szoecs [aut] , Scott Chamberlain [aut] , rOpenSci [fnd]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package puff updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-10

Title: Simulate and Visualize the Gaussian Puff Forward Atmospheric Model
Description: Simulate and run the Gaussian puff forward atmospheric model in sensor (specific sensor coordinates) or grid (across the grid of a full oil and gas operations site) modes, following Jia, M., Fish, R., Daniels, W., Sprinkle, B. and Hammerling, D. (2024) <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous visualization options, including static and animated, 2D and 3D, and a site map generator based on sensor and source coordinates.
Author: Teagan Ward [aut], Philip Waggoner [aut], Will Daniels [aut], Meng Jia [aut], Dorit Hammerling [aut, ths], Callan Okenberg [cre]
Maintainer: Callan Okenberg <cal_okenberg@mines.edu>

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Package missSBM updated to version 1.1.0 with previous version 1.0.5 dated 2025-03-13

Title: Handling Missing Data in Stochastic Block Models
Description: When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 due to missing information between node pairs), it is possible to account for the underlying process that generates those NAs. 'missSBM', presented in 'Barbillon, Chiquet and Tabouy' (2022) <doi:10.18637/jss.v101.i12>, adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in 'Tabouy, Barbillon and Chiquet' (2019) <doi:10.1080/01621459.2018.1562934>.
Author: Julien Chiquet [aut, cre] , Pierre Barbillon [aut] , Timothee Tabouy [aut], Jean-Benoist Leger [ctb] , Francois Gindraud [ctb] , grossBM team [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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More information about missSBM at CRAN
Permanent link

Package INLAvaan updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-11

Title: Approximate Bayesian Latent Variable Analysis
Description: Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x> as described in Jamil and Rue (2026a) <doi:10.48550/arXiv.2603.25690>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the 'lavaan' syntax. See also the companion paper on implementation and workflows, Jamil and Rue (2026b) <doi:10.48550/arXiv.2604.00671>.
Author: Haziq Jamil [aut, cre, cph] , Havard Rue [ctb] , Alvin Bong [ctb]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>

Diff between INLAvaan versions 0.3.0 dated 2026-07-11 and 0.3.1 dated 2026-07-21

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More information about INLAvaan at CRAN
Permanent link

Package hdf5lib updated to version 2.1.1.2 with previous version 2.1.1.1 dated 2026-05-15

Title: Headers and Static Libraries for 'HDF5'
Description: Provides a self-contained, static build of the 'HDF5' (Hierarchical Data Format 5) 'C' library (release 2.1.1) for R package developers. Designed for use in the 'LinkingTo' field, it enables zero-dependency integration by building the library entirely from source during installation. Additionally, it compiles and internally links a comprehensive suite of advanced compression filters and their 'HDF5' plugins (Zstd, LZ4, Blosc/Blosc2, Snappy, ZFP, Bzip2, LZF, Bitshuffle, szip, and gzip). These plugins are integrated out-of-the-box, allowing downstream packages to utilize high-performance compression directly through the standard 'HDF5' API while keeping the underlying third-party headers fully encapsulated. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , The Board of Trustees of the University of Illinois [cph] , Jean-loup Gailly [ctb, cph] , Mark Adler [ctb, cph] , Kiyoshi Masui [...truncated...]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package GRIDCOPULA readmission to version 1.1.2 with previous version 1.1.1 dated 2026-05-06

Title: Bivariate Copula Functions Based on Regular Grid
Description: Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>

This is a re-admission after prior archival of version 1.1.1 dated 2026-05-06

Diff between GRIDCOPULA versions 1.1.1 dated 2026-05-06 and 1.1.2 dated 2026-07-21

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Package glmbb updated to version 0.6 with previous version 0.5-1 dated 2020-11-21

Title: All Hierarchical or Graphical Generalized Linear Models
Description: Find all hierarchical models of specified generalized linear model with information criterion (AIC, BIC, or AICc) within specified cutoff of minimum value. Alternatively, find all such graphical models. Use branch and bound algorithm so we do not have to fit all models.
Author: Charles J. Geyer [aut, cre]
Maintainer: Charles J. Geyer <geyer@umn.edu>

Diff between glmbb versions 0.5-1 dated 2020-11-21 and 0.6 dated 2026-07-21

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Package geodiv updated to version 1.1.1 with previous version 1.1.0 dated 2023-10-05

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Author: Annie C. Smith [aut], Phoebe Zarnetske [aut], Kyla Dahlin [aut, cre], Adam Wilson [aut], Andrew Latimer [aut], Kelly Kapsar [aut]
Maintainer: Kyla Dahlin <kdahlin@msu.edu>

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Package EFA.dimensions updated to version 0.1.8.8 with previous version 0.1.8.6 dated 2026-02-04

Title: Exploratory Factor Analysis Functions for Assessing Dimensionality
Description: Functions for an assortment of factor analysis-related procedures, including eleven procedures for determining the number of factors; for factor analysis with multiple options for methods of extraction and rotation; for bifactor analysis; for extension factor analysis; options for running the analyses using either raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations; wrapper 'lavaan'-based functions for factorial invariance and exploratory structural equation modeling; functions for the factorability of a correlation matrix, for the congruences between factors from different datasets, for the assessment of local independence, for the assessment of factor solution complexity, for internal consistency, and for correcting Pearson correlation coefficients for attenuation due to unreliability. Auerswald & Moshagen (2019, ISSN:1939-1463 [...truncated...]
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package dsp updated to version 1.6.0 with previous version 1.5.1 dated 2026-07-16

Title: Dynamic Shrinkage Process and Change Point Detection
Description: Provides efficient Markov chain Monte Carlo (MCMC) algorithms for dynamic shrinkage processes, which extend global-local shrinkage priors to the time series setting by allowing shrinkage to depend on its own past. These priors yield locally adaptive estimates, useful for time series and regression functions with irregular features. The package includes full MCMC implementations for trend filtering using dynamic shrinkage on signal differences, producing locally constant or linear fits with adaptive credible bands. Also included are models with static shrinkage and normal-inverse-Gamma priors for comparison. Additional tools cover dynamic regression with time-varying coefficients and B-spline models with shrinkage on basis differences, allowing for flexible curve-fitting with unequally spaced data. Some support for heteroscedastic errors, outlier detection, and change point estimation. Methods in this package are described in Kowal et al. (2019) <doi:10.1111/rssb.12325>, Wu et al. [...truncated...]
Author: Daniel R. Kowal [aut, cph], Haoxuan Wu [aut], Toryn Schafer [aut, cre] , Jason B. Cho [aut], David S. Matteson [aut]
Maintainer: Toryn Schafer <toryn27@gmail.com>

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Package DrDimont readmission to version 0.1.7 with previous version 0.1.6 dated 2025-11-08

Title: Drug Response Prediction from Differential Multi-Omics Networks
Description: While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. We present a novel network analysis pipeline, DrDimont, Drug response prediction from Differential analysis of multi-omics networks. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived fro [...truncated...]
Author: Katharina Baum [cre] , Pauline Hiort [aut] , Julian Hugo [aut] , Spoorthi Kashyap [aut] , Nataniel Mueller [aut] , Justus Zeinert [aut]
Maintainer: Katharina Baum <katharina.baum@fu-berlin.de>

This is a re-admission after prior archival of version 0.1.6 dated 2025-11-08

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Package comperank updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-03

Title: Ranking Methods for Competition Results
Description: Compute ranking and rating based on competition results. Methods of different nature are implemented: with fixed Head-to-Head structure, with variable Head-to-Head structure and with iterative nature. All algorithms are taken from the book 'Who’s #1?: The science of rating and ranking' by Amy N. Langville and Carl D. Meyer (2012, ISBN:978-0-691-15422-0).
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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Package qqtest updated to version 1.2.1 with previous version 1.2.0 dated 2020-03-16

Title: Self Calibrating Quantile-Quantile Plots for Visual Testing
Description: Provides the function qqtest which incorporates uncertainty in its qqplot display(s) so that the user might have a better sense of the evidence against the specified distributional hypothesis. qqtest draws a quantile quantile plot for visually assessing whether the data come from a test distribution that has been defined in one of many ways. The vertical axis plots the data quantiles, the horizontal those of a test distribution. The default behaviour generates 1000 samples from the test distribution and overlays the plot with shaded pointwise interval estimates for the ordered quantiles from the test distribution. A small number of independently generated exemplar quantile plots can also be overlaid. Both the interval estimates and the exemplars provide different comparative information to assess the evidence provided by the qqplot for or against the hypothesis that the data come from the test distribution (default is normal or gaussian). Finally, a visual test of significance (a [...truncated...]
Author: Wayne Oldford [aut, cre]
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>

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Package FastJM updated to version 1.7.0 with previous version 1.6.0 dated 2026-03-28

Title: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
Description: Implements scalable joint models for large-scale competing risks time-to-event data with one or multiple longitudinal biomarkers using the efficient algorithms developed by Li et al. (2022) <doi:10.1155/2022/1362913> and <doi:10.48550/arXiv.2506.12741>. The time-to-event process is modeled using a cause-specific Cox proportional hazards model with time-fixed covariates, while longitudinal biomarkers are modeled using linear mixed-effects models. The association between the longitudinal and survival processes is captured through shared random effects. The package enables analysis of large-scale biomedical data to model biomarker trajectories, estimate their effects on event risks, and perform dynamic prediction of future events based on patients' longitudinal histories. Functions for simulating survival and longitudinal data for multiple biomarkers are included, along with built-in example datasets. The package also supports modeling a single biomarker with heterogeneous wit [...truncated...]
Author: Shanpeng Li [aut, cre], Ace Mejia-Sanchez [ctb], Emily Ouyang [ctb], Gang Li [ctb]
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>

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Package asymmetry.measures updated to version 0.3 with previous version 0.2 dated 2020-07-22

Title: Asymmetry Measures for Probability Density Functions
Description: Provides functions and examples for the weak and strong density asymmetry measures in the articles: "A measure of asymmetry", Patil, Patil and Bagkavos (2012) <doi:10.1007/s00362-011-0401-6> and "A measure of asymmetry based on a new necessary and sufficient condition for symmetry", Patil, Bagkavos and Wood (2014) <doi:10.1007/s13171-013-0034-z>. The measures provided here are useful for quantifying the asymmetry of the shape of a density of a random variable. The package facilitates implementation of the measures which are applicable in a variety of fields including e.g. probability theory, statistics and economics.
Author: Dimitrios Bagkavos [aut, cre], Lucia Gamez [aut]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

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Package yrnd updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-14

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price as a mixture of lognormal densities. It also provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. The package also provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at maturity, and also the non parametric distribution of the spread between two bond yields, using two RNDs based on options on bond futures of the same maturity. The package leverages on the works of Melick, W. R. and Thomas, C. P. (1997) <doi:10.2307/2331318> and B. Bahra (1998) <doi:10.2139/ssrn.77429>.
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package gridmicrotex updated to version 0.0.5 with previous version 0.0.4 dated 2026-06-01

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.
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 CNLTreg updated to version 0.1-3 with previous version 0.1-2 dated 2018-07-18

Title: Complex-Valued Wavelet Lifting for Signal Denoising
Description: Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
Author: Matt Nunes [aut, cre], Marina Knight [aut], Jean Hamilton [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package BsplineQuantReg updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-23

Title: 'Constrained Quantile Regression with B-Splines'
Description: Quantile regression with B-splines under shape constraints. The initial version with cubic splines is now augmented with splines of degree 1 to 4. Constraints for degrees 3 (monotone) and 4 (monotone and convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial, while other constraints applied at the knots are added as linear problems. The method for cubic splines is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. Other formulations are simple consequences of the other given references. This R implementation is intended for demonstration and prototyping. All B-spline and polynomial functions have been rewritten for consistency. An equivalent Python package is available at <https://pypi.org/project/BsplineQuantRegpy/>.
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

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Package welo updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-19

Title: Weighted and Standard Elo Rates
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2022 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides Elo and WElo rates for tennis, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes betting functions that automatically select the matches on which place a bet.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vcandila@unisa.it>

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Package twoway updated to version 0.7.0 with previous version 0.6.3 dated 2020-06-26

Title: Analysis of Two-Way Tables
Description: Carries out analyses of two-way tables with one observation per cell, together with graphical displays for an additive fit and a diagnostic plot for removable 'non-additivity' via a power transformation of the response. It implements methods from Tukey's Exploratory Data Analysis (1973) <ISBN: 978-0201076165>, including a 1-degree-of-freedom test for row*column 'non-additivity', linear in the row and column effects.
Author: Michael Friendly [aut, cre] , Richard M. Heiberger [aut], John Fox [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package TBRDist updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-30

Title: Rearrangement Distances Between Phylogenetic Trees
Description: Fast calculation of tree rearrangement distances. For unrooted trees: Subtree Prune and Regraft (SPR), Tree Bisection and Reconnection (TBR), and Replug distances, using the algorithms of Whidden and Matsen (2017) <doi:10.48550/arXiv.1511.07529>. For rooted trees: rooted SPR (rSPR) distance, using the fixed-parameter algorithms of Whidden, Beiko, and Zeh (2013) <doi:10.1137/110845045>.
Author: Martin R. Smith [aut, cre, cph] , Chris Whidden [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package PointFore updated to version 0.2.1 with previous version 0.2.0 dated 2019-02-22

Title: Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles
Description: Estimate specification models for the state-dependent level of an optimal quantile/expectile forecast. Wald Tests and the test of overidentifying restrictions are implemented. Plotting of the estimated specification model is possible. The package contains two data sets with forecasts and realizations: the daily accumulated precipitation at London, UK from the high-resolution model of the European Centre for Medium-Range Weather Forecasts (ECMWF, <https://www.ecmwf.int/>) and GDP growth Greenbook data by the US Federal Reserve. See Schmidt, Katzfuss and Gneiting (2015) <doi:10.48550/arXiv.1506.01917> for more details on the identification and estimation of a directive behind a point forecast.
Author: Patrick Schmidt [aut, cre]
Maintainer: Patrick Schmidt <pschmidte@gmail.com>

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Package paneldesc updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-23

Title: Descriptive Analysis and Visualization for Panel Data
Description: Provides a comprehensive set of tools for describing and visualizing panel data structures, as well as for summarizing and visualizing variables within a panel data context.
Author: Dmitrii Tereshchenko [aut, cre]
Maintainer: Dmitrii Tereshchenko <dtereshch@gmail.com>

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Package LVGP updated to version 2.1.6 with previous version 2.1.5 dated 2019-01-11

Title: Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables
Description: Fit response surfaces for datasets with latent-variable Gaussian process modeling, predict responses for new inputs, and plot latent variables locations in the latent space (only 1D or 2D). The input variables of the datasets can be quantitative, qualitative/categorical or mixed. The output variable of the datasets is a scalar (quantitative). The optimization of the likelihood function is done using a successive approximation/relaxation algorithm similar to another GP modeling package "GPM". The modeling method is published in "A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors" by Yichi Zhang, Siyu Tao, Wei Chen, and Daniel W. Apley (2018) <doi:10.48550/arXiv.1806.07504>. The package is developed in IDEAL of Northwestern University.
Author: Siyu Tao [aut, cre], Yichi Zhang [aut], Daniel W. Apley [aut], Wei Chen [aut]
Maintainer: Siyu Tao <siyutao2020@u.northwestern.edu>

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Package Rhpc readmission to version 0.26.4 with previous version 0.21-247 dated 2021-09-04

Title: Apply-Style Dispatch for High-Performance Computing
Description: Provides apply-style functions using the Message Passing Interface ('MPI') to improve the High-Performance Computing ('HPC') environment in R. The package supports long vectors and efficient handling of large datasets for MPI-based parallel computations.
Author: Ei-ji Nakama [aut, cre], Junji NAKANO [aut]
Maintainer: Ei-ji Nakama <nakama@ki.rim.or.jp>

This is a re-admission after prior archival of version 0.21-247 dated 2021-09-04

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Package ResistorArray updated to version 1.0-33 with previous version 1.0-32 dated 2019-01-29

Title: Electrical Properties of Resistor Networks
Description: Electrical properties of resistor networks using matrix methods.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package nycOpenData updated to version 0.2.3 with previous version 0.2.2 dated 2026-06-18

Title: A Lightweight Interface to NYC Open Data APIs
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package mergersim updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-02

Title: Merger Simulation and Calibration
Description: Analyze mergers between firms. Models of competition include differentiated Bertrand price-setting, Nash bargaining, and second score auctions, as implemented in Panhans and Taragin (2023) <doi:10.1016/j.ijindorg.2023.102986>. Calibrates demand systems including standard logit, nested logit, and generalized nested logit as implemented in Panhans and Wiemer (2026) <doi:10.1093/joclec/nhaf037>.
Author: Matthew T Panhans [aut, cre]
Maintainer: Matthew T Panhans <mpanhans@gmail.com>

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Package ggcube updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-27

Title: 3D Plotting with 'ggplot2'
Description: A 'ggplot2' extension for creating 3D figures. Provides 3D geoms, stats, and a coord_3d() coordinate system supporting rotation, perspective, and lighting.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package contdid readmission to version 0.1.1 with previous version 0.1.0 dated 2025-07-03

Title: Difference-in-Differences with a Continuous Treatment
Description: Provides methods for difference-in-differences with a continuous treatment and staggered treatment adoption. Includes estimation of treatment effects and causal responses as a function of the dose, event studies indexed by length of exposure to the treatment, and aggregation into overall average effects. Uniform inference procedures are included, along with both parametric and nonparametric models for treatment effects. The methods are based on Callaway, Goodman-Bacon, and Sant'Anna (2025) <doi:10.48550/arXiv.2107.02637>.
Author: Brantly Callaway [aut, cre], Andrew Goodman-Bacon [aut], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2025-07-03

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Package autograph updated to version 1.1.1 with previous version 1.0.3 dated 2026-05-01

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package pkgstats updated to version 0.2.4 with previous version 0.2.3 dated 2026-06-01

Title: Metrics of R Packages
Description: Static code analyses for R packages using the external code-tagging libraries 'ctags' and 'gtags'. Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full 'CRAN' archive, enabling the statistical properties of any package to be compared with all other 'CRAN' packages.
Author: Mark Padgham [aut, cre] , Michael Sumner [ctb] , Jeffrey Hollister [ctb] , Egor Kotov [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package D4TAlink.light updated to version 2.1.22 with previous version 2.1.21 dated 2025-09-10

Title: GDP - Workflow Management
Description: Tools, methods and processes for the management of analysis workflows. These lightweight solutions facilitate structuring R&D activities. These solutions were developed to comply with Good Documentation Practice (GDP), with ALCOA+ principles as proposed by the U.S. FDA, and with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.
Author: Gregoire Thomas [aut, cre, cph] , Metabolomic Diagnostics Ltd. [fnd]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>

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Package cTMed updated to version 1.0.10 with previous version 1.0.9 dated 2026-02-05

Title: Continuous-Time Mediation
Description: Computes effect sizes, standard errors, and confidence intervals for total, direct, and indirect effects in continuous-time mediation models as described in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Michael A. Russell [ctb] , Sy-Miin Chow [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package tradestatistics updated to version 7.1.0 with previous version 7.0.0 dated 2026-07-07

Title: Open Trade Statistics API Wrapper and Utility Program
Description: Access 'Open Trade Statistics' API from R to download international trade data.
Author: Mauricio Vargas [aut, cre, cph] , Joshua Kunst [ctb] , Alexey Kravchenko [ctb] , Emma Mendelsohn [ctb] , Daniela de los Santos [ctb] , Emily Riederer [rev] , Mark Padgham [rev] , Amanda Dobbyn [rev] , Jorge Cimentada [rev] , UN Comtrade [dtc], The Wo [...truncated...]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>

Diff between tradestatistics versions 7.0.0 dated 2026-07-07 and 7.1.0 dated 2026-07-21

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Package TMB updated to version 1.9.22 with previous version 1.9.21 dated 2026-03-23

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package stevetemplates updated to version 1.4.0 with previous version 1.3.0 dated 2026-05-29

Title: Steve's R Markdown Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven Miller [aut, cre]
Maintainer: Steven Miller <steve@svmiller.com>

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Package qtl2 updated to version 0.46 with previous version 0.44 dated 2026-07-06

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package muttest updated to version 0.3.0 with previous version 0.2.1 dated 2026-06-24

Title: Mutation Testing
Description: Measure quality of your tests. 'muttest' introduces small changes (mutations) to your code and runs your tests to check if they catch the changes. If they do, your tests are good. If not, your assertions are not specific enough. 'muttest' gives you percent score of how often your tests catch the changes.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

Diff between muttest versions 0.2.1 dated 2026-06-24 and 0.3.0 dated 2026-07-21

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Package lfebd3 updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-07

Title: Generation and Analysis of 3-Level, 4-Level and 5-Level Factorial Block Designs
Description: Provides tools to generate and analyze 3-level, 4-level and 5-level linear factorial block designs, including complete factorial layouts, fractional factorial layouts, confounded factorial layouts, and design-characteristic summaries. The package includes utilities for recursive construction, defining-contrast identification, alias and confounding summaries, incidence matrix construction, and selected design-characteristic diagnostics. The methodological framework follows foundational work on factorial block designs, including Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>.
Author: Vankudoth Kumar [aut], Sukanta Dash [aut, cre], Med Ram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>

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Package qlcal updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-14

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package profExtrema updated to version 0.2.2 with previous version 0.2.1 dated 2020-03-21

Title: Compute and Visualize Profile Extrema Functions
Description: Computes profile extrema functions for arbitrary functions. If the function is expensive-to-evaluate it computes profile extrema by emulating the function with a Gaussian process (using package 'DiceKriging'). In this case uncertainty quantification on the profile extrema can also be computed. The different plotting functions for profile extrema give the user a tool to better locate excursion sets.
Author: Dario Azzimonti [aut, cre, cph]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package OjaNP readmission to version 2.0 with previous version 1.0-0 dated 2020-02-23

Title: Multivariate Methods Based on the Oja Median and Related Concepts
Description: Calculating the Oja median, Oja signs and ranks and methods based upon them. For details, see the the corresponding publication Fischer, Mosler, et al. (2020) <doi:10.18637/jss.v092.i08>.
Author: Daniel Fischer [aut, cre] , Juho Eagling [aut] , Karl Mosler [aut] , Jyrki Moettoenen [aut] , Klaus Nordhausen [aut] , Oleksii Pokotylo [aut] , Daniel Vogel [aut], Tommi Ronkainen [ctb] , Makoto Matsumoto [ctb, cph] , Takuji Nishimura [ctb, cph] , Shaw [...truncated...]
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>

This is a re-admission after prior archival of version 1.0-0 dated 2020-02-23

Diff between OjaNP versions 1.0-0 dated 2020-02-23 and 2.0 dated 2026-07-21

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Package MIC updated to version 2.0.1 with previous version 2.0.0 dated 2025-12-04

Title: Analysis of Antimicrobial Minimum Inhibitory Concentration Data
Description: Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data. Validate the results of an MIC experiment by comparing observed MIC values to a gold standard assay, in line with standards from the International Organization for Standardization (2021) <https://www.iso.org/standard/79377.html>.
Author: Alessandro Gerada [aut, cre, cph]
Maintainer: Alessandro Gerada <alessandro.gerada2@liverpool.ac.uk>

Diff between MIC versions 2.0.0 dated 2025-12-04 and 2.0.1 dated 2026-07-21

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Package bpcp updated to version 1.5.4 with previous version 1.5.1 dated 2026-02-19

Title: Beta Product Confidence Procedure for Right Censored Data
Description: Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.
Author: Michael P. Fay [aut, cre], Allyson Mateja [ctb], Megan Grieco [ctb]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between bpcp versions 1.5.1 dated 2026-02-19 and 1.5.4 dated 2026-07-21

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Package biocharkit updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-21

Title: Biochar Characterisation and Adsorption Data Analysis
Description: A toolkit for analysing biochar characterisation and batch adsorption experiments. Provides functions to parse structured sample identifiers encoding pyrolysis conditions, read raw FTIR and XRD instrument output, compute adsorption capacity and removal efficiency, fit adsorption isotherms following Langmuir (1918) <doi:10.1021/ja02242a004> and Sips (1948) <doi:10.1063/1.1746922> among other models, fit adsorption kinetics following Ho and McKay (1999) <doi:10.1016/S0032-9592(98)00112-5> and Chien and Clayton (1980) <doi:10.2136/sssaj1980.03615995004400020013x> among other models, fit batches of samples at once, compute van't Hoff thermodynamic parameters, baseline-correct and pick peaks in FTIR spectra, deconvolve XRD patterns into a crystallinity index, compute BET surface area following Brunauer, Emmett, and Teller (1938) <doi:10.1021/ja01269a023>, compute proximate and ultimate analysis summaries including directly from a thermogravimetric analysis (TGA [...truncated...]
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>

Diff between biocharkit versions 0.2.0 dated 2026-07-21 and 0.3.0 dated 2026-07-21

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Package PlotFTIR updated to version 1.3.0 with previous version 1.2.1 dated 2025-08-25

Title: Plot FTIR Spectra
Description: The goal of 'PlotFTIR' is to easily and quickly kick-start the production of journal-quality Fourier Transform Infra-Red (FTIR) spectral plots in R using 'ggplot2'. The produced plots can be published directly or further modified by 'ggplot2' functions. L'objectif de 'PlotFTIR' est de démarrer facilement et rapidement la production des tracés spectraux de spectroscopie infrarouge à transformée de Fourier (IRTF) de qualité journal dans R à l'aide de 'ggplot2'. Les tracés produits peuvent être publiés directement ou modifiés davantage par les fonctions 'ggplot2'.
Author: Philip Bulsink [aut, cre] , Ulrich Makanda [trl] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources [cph]
Maintainer: Philip Bulsink <philip.bulsink@nrcan-rncan.gc.ca>

Diff between PlotFTIR versions 1.2.1 dated 2025-08-25 and 1.3.0 dated 2026-07-21

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Package mlr3mbo updated to version 1.2.0 with previous version 1.1.1 dated 2026-04-24

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Marc Becker [cre, aut] , Lennart Schneider [aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3mbo versions 1.1.1 dated 2026-04-24 and 1.2.0 dated 2026-07-21

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Package cpp4r updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-12

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package FastKRR updated to version 0.2.1 with previous version 0.1.2 dated 2025-11-15

Title: Kernel Ridge Regression using 'RcppArmadillo'
Description: Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation and additionally supports restricted maximum likelihood (REML) for continuous optimization of the regularization parameter. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refe [...truncated...]
Author: Gyeongmin Kim [aut] , Seyoung Lee [aut] , Miyoung Jang [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>

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Package utsf updated to version 1.3.4 with previous version 1.3.3 dated 2026-04-22

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package Tides updated to version 2.1.1 with previous version 2.1 dated 2018-08-03

Title: Quasi-Periodic Time Series Characteristics
Description: Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine Water Levels.
Author: Tom Cox [aut, cre], Lennert Schepers [aut]
Maintainer: Tom Cox <tom.cox@uantwerp.be>

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Package synchrony updated to version 0.3.9 with previous version 0.3.8 dated 2019-12-05

Title: Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
Description: Methods for computing spatial, temporal, and spatiotemporal statistics as described in Gouhier and Guichard (2014) <doi:10.1111/2041-210X.12188>. These methods include empirical univariate, bivariate and multivariate variograms; fitting variogram models; phase locking and synchrony analysis; generating autocorrelated and cross-correlated matrices.
Author: Tarik C. Gouhier [aut, cre]
Maintainer: Tarik C. Gouhier <tarik.gouhier@gmail.com>

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Package ppforest2 updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-19

Title: Projection Pursuit Oblique Decision Trees and Random Forests
Description: Builds decision trees by splitting on linear combinations of randomly chosen variables. Projection pursuit is used to choose a projection of the variables that best separates the groups. Using linear combinations of variables to separate groups takes the correlation between variables into account, which allows the model to outperform a traditional decision tree when the separation between groups occurs in combinations of variables. Single trees can be assembled into random forests for improved accuracy. Implements projection pursuit classification trees (Lee, Cook, Park and Lee (2013) <doi:10.1214/13-EJS810>) and projection pursuit forests (da Silva, Cook and Lee (2021) <doi:10.1080/10618600.2020.1870480>), following the earlier 'PPforest' package.
Author: Andres Vidal [aut, cre, cph], Natalia da Silva [aut]
Maintainer: Andres Vidal <andres@andresvidal.dev>

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Package plotor updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-14

Title: Odds Ratio Tools for Logistic Regression
Description: Produces odds ratio analyses with comprehensive reporting tools. Generates plots, summary tables, and diagnostic checks for logistic regression models fitted with 'glm()' using binomial family. Provides visualisation methods, formatted reporting tables via 'gt', and tools to assess logistic regression model assumptions.
Author: Craig Parylo [aut, cre, cph]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

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Package mLLMCelltype readmission to version 2.0.7 with previous version 2.0.5 dated 2026-05-11

Title: Cell Type Annotation Using Large Language Models
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2026) <doi:10.1038/s42003-026-10420-8>.
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>

This is a re-admission after prior archival of version 2.0.5 dated 2026-05-11

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Package matchMulti updated to version 1.1.15 with previous version 1.1.14 dated 2025-04-18

Title: Optimal Multilevel Matching using a Network Algorithm
Description: Performs multilevel matches for data with cluster- level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch package, which is useful for running many of the provided functions, may be downloaded from Github at <https://github.com/markmfredrickson/optmatch> if not available on CRAN.
Author: Luke Keele [aut], Luke Miratrix [aut], Sam Pimentel [aut, cre], Paul Rosenbaum [ctb]
Maintainer: Sam Pimentel <spi@berkeley.edu>

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Package lookout updated to version 2.0.2 with previous version 2.0.1 dated 2026-03-26

Title: Leave One Out Kernel Density Estimates for Outlier Detection
Description: Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.
Author: Sevvandi Kandanaarachchi [aut, cre] , Rob Hyndman [aut] , Chris Fraley [ctb]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package imageseg updated to version 0.5.2 with previous version 0.5.0 dated 2022-05-29

Title: Deep Learning Models for Image Segmentation
Description: A general-purpose workflow for image segmentation using TensorFlow models based on the U-Net architecture by Ronneberger et al. (2015) <doi:10.48550/arXiv.1505.04597> and the U-Net++ architecture by Zhou et al. (2018) <doi:10.48550/arXiv.1807.10165>. We provide pre-trained models for assessing canopy density and understory vegetation density from vegetation photos. In addition, the package provides a workflow for easily creating model input and model architectures for general-purpose image segmentation based on grayscale or color images, both for binary and multi-class image segmentation.
Author: Juergen Niedballa [aut, cre] , Jan Axtner [aut] , Leibniz Institute for Zoo and Wildlife Research [cph]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package greta.gp readmission to version 0.2.3 with previous version 0.2.2 dated 2024-11-13

Title: Gaussian Process Modelling in 'greta'
Description: Provides a syntax to create and combine Gaussian process kernels in 'greta'. You can then use these kernels to define either full rank or sparse Gaussian processes, and project a fitted process to new coordinates. This lets you include Gaussian process components in the statistical models you write with 'greta'. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
Author: Nick Golding [aut, cph] , Jian Yen [ctb], Nicholas Tierney [aut, cre]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2024-11-13

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