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/rbind.QR_matrix.Rd                                                         |    4 
 JDCruncheR-0.4.1/JDCruncheR/man/recode_indicator_num.Rd                                                    |   42 
 JDCruncheR-0.4.1/JDCruncheR/man/set_thresholds.Rd                                                          |    8 
 JDCruncheR-0.4.1/JDCruncheR/man/sort.Rd                                                                    |    4 
 JDCruncheR-0.4.1/JDCruncheR/man/weighted_score.Rd                                                          |   13 
 JDCruncheR-0.4.1/JDCruncheR/man/write.JVS_matrix.Rd                                                        |   38 
 JDCruncheR-0.4.1/JDCruncheR/man/write.QR_matrix.Rd                                                         |   28 
 JDCruncheR-0.4.1/JDCruncheR/man/write.Rd                                                                   |   27 
 JDCruncheR-0.4.1/JDCruncheR/man/write.mQR_matrix.Rd                                                        |   43 
 JDCruncheR-0.4.1/JDCruncheR/tests/testthat/data/JVS                                                        |only
 JDCruncheR-0.4.1/JDCruncheR/tests/testthat/helper.R                                                        |only
 JDCruncheR-0.4.1/JDCruncheR/tests/testthat/test-extractJVS.R                                               |only
 JDCruncheR-0.4.1/JDCruncheR/vignettes/Plug_in_JVS-EN.Rmd                                                   |only
 JDCruncheR-0.4.1/JDCruncheR/vignettes/Plug_in_JVS-FR.Rmd                                                   |only
 82 files changed, 4494 insertions(+), 1155 deletions(-)

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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 
 MD5                                                          |   55 +-
 NEWS.md                                                      |   24 
 R/api_chat_completions.R                                     |   10 
 R/api_claude.R                                               |  278 ++++++++---
 R/api_gemini.R                                               |   10 
 R/api_ollama.R                                               |    8 
 R/api_openai.R                                               |    6 
 R/api_openrouter.R                                           |    4 
 inst/doc/tidyllm.R                                           |    8 
 inst/doc/tidyllm.Rmd                                         |   10 
 inst/doc/tidyllm.html                                        |   10 
 man/claude_chat.Rd                                           |   37 +
 man/claude_websearch.Rd                                      |   21 
 man/gemini_chat.Rd                                           |    4 
 man/gemini_embedding.Rd                                      |    4 
 man/ollama_chat.Rd                                           |    4 
 man/openai_chat.Rd                                           |    4 
 man/openrouter_chat.Rd                                       |    4 
 man/send_claude_batch.Rd                                     |   26 -
 man/send_gemini_batch.Rd                                     |    2 
 man/send_ollama_batch.Rd                                     |    4 
 man/send_openai_batch.Rd                                     |    4 
 tests/testthat/ollama/localhost-11434/api/chat-6c3e3d-POST.R |only
 tests/testthat/test_api_gemini.R                             |    4 
 tests/testthat/test_api_ollama.R                             |    4 
 tests/testthat/test_api_openai.R                             |    7 
 vignettes/tidyllm.Rmd                                        |   10 
 29 files changed, 396 insertions(+), 176 deletions(-)

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New package rchime with initial version 0.1.0
Package: rchime
Title: Detect and Remove Chimeras from Amplicon Sequence Analysis Data
Version: 0.1.0
Date: 2026-07-07
Maintainer: Pat Schloss <pschloss@umich.edu>
Description: Detect and remove chimeras from your amplicon sequence analysis using reference-based or de novo approaches. The 'rchime' package implements the 'VSEARCH' algorithms described in Rognes et al. (2016) <doi:10.7717/peerj.2584>. 'VSEARCH' builds on the work of Edgar,R.C. et al. (2011) <doi:10.1093/bioinformatics/btr381>.
URL: https://github.com/mothur/rchime, https://mothur.org/rchime/
BugReports: https://github.com/mothur/rchime/issues
License: GPL (>= 3)
Imports: cli, parallelly, RcppThread, utils
Depends: Rcpp, R (>= 4.5.0), strollur(>= 0.1.3)
Suggests: knitr, rmarkdown, xml2, pak, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppThread, RcppXsimd, cli
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-16 17:00:27 UTC; swestcot
Author: Sarah Westcott [aut] , Pat Schloss [cph, cre] , Torbjorn Rognes [cph], Frederic Mahe [cph], Tomas Flouri [cph], Christopher Quince [cph], Ben Nichols [cph]
Repository: CRAN
Date/Publication: 2026-07-23 14:20:02 UTC

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New package MleCensoR with initial version 0.1.0
Package: MleCensoR
Title: Maximum Likelihood Estimation under Censoring Schemes
Version: 0.1.0
Description: Provides generalized functions to compute Maximum Likelihood Estimation (MLE) for any univariate distribution under various censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and initial parameter values; the package constructs and maximizes the appropriate log-likelihood automatically. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Optimization methods include Newton-Raphson (NR), Broyden-Fletcher-Goldfarb-Shanno (BFGS), the BFGS algorithm implemented in R (BFGSR), Berndt-Hall-Hall-Hausman (BHHH), Simulated Annealing (SANN), Conjugate Gradien [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 15:12:18 UTC; 30017827
Author: Shikhar Tyagi [aut, cre] , Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:10:09 UTC

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New package locatr with initial version 0.1.0
Package: locatr
Title: Audit-Ready Geocoding and Local Geography for Messy Location Data
Version: 0.1.0
Description: Cleans, geocodes, validates, reviews, and exports messy location address data supplied by the user. The package sits on top of 'tidygeocoder': it calls geocoding services, rejects implausible coordinates with configurable region guards, applies fallback name/address matching, joins points to optional local geography with 'sf', and records an audit trail showing how each coordinate was produced. Outputs are designed for manual review, dashboards, and reusable location crosswalks.
License: MIT + file LICENSE
URL: https://prigasg.github.io/locatr/, https://github.com/PrigasG/locatr
BugReports: https://github.com/PrigasG/locatr/issues
Depends: R (>= 4.1.0)
Imports: datasets, dplyr (>= 1.1.0), magrittr, readr, rlang (>= 1.1.0), sf, stats, stringr, tibble, tidygeocoder, utils
Suggests: arrow, bslib, DT, httr, jsonlite, knitr, leaflet, pkgdown, readxl, rmarkdown, shiny, spelling, testthat (>= 3.1.7), tigris, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 16:27:58 UTC; priga
Author: George Arthur [aut, cre, cph]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:20:08 UTC

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New package HawaSpatial with initial version 0.1.10
Package: HawaSpatial
Title: Holistic and Areal Weighted Analysis for Global Development
Version: 0.1.10
Author: Abdisalam Hassan Muse [aut, cre]
Maintainer: Abdisalam Hassan Muse <abdisalam.hassan@amoud.edu.so>
Description: Provides a 'shiny'-based platform for sub-national monitoring of global development indicators using large-scale household surveys. The package supports the Demographic and Health Surveys, Multiple Indicator Cluster Surveys, Malaria Indicator Surveys, Integrated Household Budget Surveys, Service Provision Assessment surveys, and Living Standards Measurement Study surveys. It provides workflows for descriptive, diagnostic, predictive, and prescriptive spatial analytics, including a spatial equalizer for survey-shapefile integration, exploratory spatial data analysis, area-level small area estimation, spatial autoregressive and spatial error models, hierarchical multilevel models, spatial inequality metrics, spatial and temporal decomposition, and publication-ready reporting. The implemented methods are described in <doi:10.1111/j.1538-4632.1995.tb00338.x>, <doi:10.1007/s11749-018-0599-x>, and the reference identified by <isbn:9781118735787>. The software has been cited [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: shiny
Suggests: biscale, broom, broom.mixed, bs4Dash, classInt, corrplot, cowplot, dplyr, ggplot2, ggrepel, glmmTMB, gstat, haven, ineq, knitr, lmtest, magrittr, performance, purrr, RColorBrewer, readr, rmarkdown, sae, scales, sf, spatialreg, spdep, stringr, survey, testthat (>= 3.0.0), tidyr, tidyselect, tidyverse, viridis
URL: https://github.com/Abdisalammuse/HawaSpatial
BugReports: https://github.com/Abdisalammuse/HawaSpatial/issues
NeedsCompilation: no
Packaged: 2026-07-16 15:10:56 UTC; Admin
Repository: CRAN
Date/Publication: 2026-07-23 14:10:16 UTC

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New package eigencore with initial version 1.0.0
Package: eigencore
Title: Certified Partial Eigenvalue and Singular Value Computation
Version: 1.0.0
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Description: Computes the top-k singular triplets or eigenpairs of large sparse and structured matrices: the computation behind principal component analysis on big sparse data, spectral embeddings, and low-rank approximation. Every result carries a numerical certificate with residuals, a backward-error bound, orthogonality loss, and a pass/fail flag, and bounds that can only be estimated are reported as such rather than passed. Centered, scaled, and composed operators are solved through native 'C++' kernels without forming dense matrices. Drop-in replacements for the 'RSpectra' interface are included.
URL: https://bbuchsbaum.github.io/eigencore/, https://github.com/bbuchsbaum/eigencore
BugReports: https://github.com/bbuchsbaum/eigencore/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Matrix, methods
Suggests: bench, knitr, rmarkdown, RSpectra, irlba, rsvd, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-07-16 14:55:02 UTC; bbuchsbaum
Repository: CRAN
Date/Publication: 2026-07-23 14:10:02 UTC

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New package statsapps with initial version 0.1.0
Package: statsapps
Title: Interactive 'Shiny' Apps for Building Statistical Intuition
Version: 0.1.0
Description: Provides interactive 'Shiny' applications for building intuition in statistics and data science. The apps run locally and use visualization, simulation, and repeated sampling to illustrate topics such as probability distributions, permutation tests, analysis of variance, linear regression, and sums of squares.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), purrr (>= 1.0.0), shiny (>= 1.7.0), tibble (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/vbaliga/statsapps, https://vbaliga.github.io/statsapps/
BugReports: https://github.com/vbaliga/statsapps/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 02:11:38 UTC; vikram
Author: Vikram B. Baliga [aut, cre, cph]
Maintainer: Vikram B. Baliga <vikram.baliga@ubc.ca>
Repository: CRAN
Date/Publication: 2026-07-23 13:30:02 UTC

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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>

Diff between serad versions 0.2.2 dated 2026-07-01 and 0.2.3 dated 2026-07-23

 DESCRIPTION                           |    6 +-
 MD5                                   |   42 +++++++++----------
 R/g_nom.R                             |    8 ++-
 R/g_nom_taux.R                        |   57 ++++++++++++++++++++++----
 R/g_verbe.R                           |   12 ++++-
 R/g_verbe_taux.R                      |   72 +++++++++++++++++++++++-----------
 R/init_serad_en.R                     |   32 ++++++---------
 R/init_serad_fr.R                     |   40 ++++++++----------
 inst/doc/exemple.html                 |    4 -
 inst/doc/serad.html                   |   22 +++++-----
 man/g_nom.Rd                          |    8 ++-
 man/g_nom_taux.Rd                     |   23 ++++++++--
 man/g_verbe.Rd                        |   12 ++++-
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 tests/testthat/test-gETa_nom.R        |    4 -
 tests/testthat/test-gETa_nom_taux.R   |    4 -
 tests/testthat/test-gETa_verbe.R      |   10 ++--
 tests/testthat/test-gETa_verbe_taux.R |    8 +--
 tests/testthat/test-g_nom.R           |   11 ++---
 tests/testthat/test-g_nom_taux.R      |   13 ++----
 tests/testthat/test-g_verbe.R         |   30 ++++----------
 tests/testthat/test-g_verbe_taux.R    |   24 ++---------
 22 files changed, 264 insertions(+), 193 deletions(-)

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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

 DESCRIPTION                           |    8 -
 MD5                                   |  240 +++++++++++++++++-----------------
 NEWS.md                               |    5 
 R/checkHeader.R                       |  198 +++++++++++++---------------
 R/check_0_fieldsTA.r                  |   86 +++++-------
 R/check_TE_TC.r                       |  123 ++++++++---------
 R/check_area.r                        |  218 +++++++++++++++---------------
 R/check_associations_category_TL.r    |  103 ++++++--------
 R/check_bridles_length.r              |   88 +++++-------
 R/check_class.r                       |    8 -
 R/check_date_haul.r                   |  120 ++++++++---------
 R/check_dictionary_new.r              |   22 +--
 R/check_dm.r                          |  103 +++++++-------
 R/check_haul_species_TCTB.r           |  102 ++++++--------
 R/check_hauls_TATB.r                  |   89 ++++++------
 R/check_hauls_TATL.r                  |   99 ++++++--------
 R/check_hauls_TBTA.r                  |   71 ++++------
 R/check_hauls_TLTA.r                  |   94 ++++++-------
 R/check_identical_records.r           |   24 +--
 R/check_individual_weightTC.r         |  145 +++++++++-----------
 R/check_individual_weightTE.r         |   20 +-
 R/check_length_NEW.r                  |   42 +++--
 R/check_length_class_codeTC.r         |   95 ++++++-------
 R/check_mat_stages.r                  |  106 ++++++---------
 R/check_nb_TE.r                       |  120 ++++++++---------
 R/check_nb_per_sexTC.r                |  146 ++++++++++----------
 R/check_nbtotTB.r                     |   69 ++++-----
 R/check_nm_TB.r                       |   12 -
 R/check_no_empty_fields.r             |  123 ++++++++---------
 R/check_numeric_range.R               |   91 +++++-------
 R/check_position_in_Med.r             |  106 +++++++--------
 R/check_raising_NEW.r                 |  116 ++++++++++------
 R/check_rubincode.r                   |  135 ++++++++-----------
 R/check_smallest_mature.r             |   28 +--
 R/check_spawning_period.r             |   58 +++-----
 R/check_step_length_distr.r           |   91 +++++-------
 R/check_swept_area.r                  |   50 +++----
 R/check_type.r                        |   73 ++++------
 R/check_unique_valid_haul.r           |   83 +++++------
 R/check_weight.r                      |   40 ++---
 R/check_weight_tot_nb.r               |   18 +-
 R/check_year.r                        |  192 +++++++++++++--------------
 inst/CITATION                         |    9 -
 inst/doc/RoME_vignettes.Rmd           |    3 
 inst/doc/RoME_vignettes.html          |   11 -
 man/RoME.Rd                           |    2 
 man/RoMEBScc.Rd                       |    2 
 man/RoMEcc.Rd                         |    2 
 man/Rsufi_files.Rd                    |    2 
 man/TM_list.Rd                        |    2 
 man/assTL.Rd                          |    4 
 man/checkHeader.Rd                    |    2 
 man/check_0_fieldsTA.Rd               |    2 
 man/check_G1_G2.Rd                    |    2 
 man/check_TE_TC.Rd                    |    2 
 man/check_area.Rd                     |    2 
 man/check_associations_category_TL.Rd |    2 
 man/check_bridles_length.Rd           |    2 
 man/check_class.Rd                    |    2 
 man/check_consistencyTA_distance.Rd   |    2 
 man/check_consistencyTA_duration.Rd   |    2 
 man/check_date_haul.Rd                |    2 
 man/check_depth.Rd                    |    2 
 man/check_dictionary.Rd               |    2 
 man/check_distance.Rd                 |    3 
 man/check_dm.Rd                       |    2 
 man/check_haul_species_TCTB.Rd        |    2 
 man/check_hauls_TATB.Rd               |    2 
 man/check_hauls_TATL.Rd               |    2 
 man/check_hauls_TBTA.Rd               |    2 
 man/check_hauls_TLTA.Rd               |    2 
 man/check_identical_records.Rd        |    2 
 man/check_individual_weightTC.Rd      |    2 
 man/check_individual_weightTE.Rd      |    2 
 man/check_length.Rd                   |    2 
 man/check_length_class_codeTC.Rd      |    2 
 man/check_mat_stages.Rd               |    2 
 man/check_nb_TE.Rd                    |    2 
 man/check_nb_per_sexTC.Rd             |    2 
 man/check_nbtotTB.Rd                  |    2 
 man/check_nm_TB.Rd                    |    2 
 man/check_no_empty_fields.Rd          |    2 
 man/check_numeric_range.Rd            |    2 
 man/check_position.Rd                 |    2 
 man/check_position_in_Med.Rd          |    2 
 man/check_quadrant.Rd                 |    2 
 man/check_quasiidentical_records.Rd   |    2 
 man/check_rubincode.Rd                |    2 
 man/check_smallest_mature.Rd          |    2 
 man/check_spawning_period.Rd          |    2 
 man/check_species_TBTC.Rd             |    2 
 man/check_step_length_distr.Rd        |    2 
 man/check_stratum.Rd                  |    2 
 man/check_stratum_code.Rd             |    2 
 man/check_subsampling.Rd              |    2 
 man/check_temperature.Rd              |    2 
 man/check_type.Rd                     |    2 
 man/check_unique_valid_haul.Rd        |    2 
 man/check_weight.Rd                   |    2 
 man/check_weight_tot_nb.Rd            |    2 
 man/check_year.Rd                     |    2 
 man/classes.Rd                        |    2 
 man/create_catch.Rd                   |    2 
 man/create_haul.Rd                    |    2 
 man/create_length.Rd                  |    2 
 man/create_strata.Rd                  |    2 
 man/error.table.Rd                    |    2 
 man/graphs_TA.Rd                      |    2 
 man/haul_at_sea.Rd                    |    2 
 man/list_g1_g2.Rd                     |    4 
 man/mat_stages.Rd                     |    4 
 man/printError.Rd                     |    2 
 man/printError_cc.Rd                  |    2 
 man/scheme_individual_data.Rd         |    2 
 man/templateTA.Rd                     |    2 
 man/templateTB.Rd                     |    2 
 man/templateTC.Rd                     |    2 
 man/templateTE.Rd                     |    2 
 man/templateTL.Rd                     |    2 
 man/time.Rd                           |    4 
 vignettes/RoME_vignettes.Rmd          |    3 
 121 files changed, 1921 insertions(+), 2024 deletions(-)

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New package qviewparsR with initial version 1.0.0
Package: qviewparsR
Title: Read .Q-View Multiplex ELISA Project Files
Version: 1.0.0
Description: Pure-R parser for the binary '.Q-View' project file format used in chemiluminescent multiplex ELISA plate imaging and quantification. Reads the embedded H2 database container and CSV report, and returns project metadata, the analyte panel with units and detection limits, sample well-group assignments, per-well pixel-intensity replicates, summary statistics, optional back-calculated concentrations, and a plate layout, all as tidy tibbles. No Java runtime or H2 database driver is required.
License: MIT + file LICENSE
URL: https://github.com/CTTIR/qviewparsR, https://cttir.github.io/qviewparsR/
BugReports: https://github.com/CTTIR/qviewparsR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, lifecycle, openxlsx2, readr, rlang, stats, tibble, tidyr, tools, utils
Suggests: bslib, chromote, DT, ggplot2, knitr, patchwork, rmarkdown, shiny, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 11:49:44 UTC; rh
Author: R. Heller [aut, cre, cph] , M. Mannes [aut, cph]
Maintainer: R. Heller <raban.heller@uni-ulm.de>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:08 UTC

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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>

Diff between ppwdeming versions 2.1.0 dated 2026-03-15 and 3.0.2 dated 2026-07-23

 DESCRIPTION               |   18 ++-
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New package margEVT with initial version 0.1.0
Package: margEVT
Title: Regularized Point Processes and Stochastic Marginalization for Extremes
Version: 0.1.0
Description: Implements a non-stationary extreme value analysis framework by coupling a covariate-driven Non-Homogeneous Poisson Process (NHPP) with Elastic-Net regularization and exact analytical gradients. Provides methodologies for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over Vector Autoregressive VAR(p) covariate trajectories, or non-parametric block bootstrapping. Methodologies are based on Villa (2026) <https://sabi.ufrgs.br/> "A Novel Regularized Point Process and Stochastic Marginalization Framework for Return Level Inference under Covariate-Driven Extremes" (Master's dissertation, Universidade Federal do Rio Grande do Sul).
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, utils, vars
Suggests: dplyr, tidyr, extRemes, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 14:01:26 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre] , Flavio Ziegelmann [ths]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:14 UTC

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New package HLCtools with initial version 0.1.0
Package: HLCtools
Title: Calculate Herd Lying Concordance Metrics
Version: 0.1.0
Description: Calculates Herd Lying Concordance (HLC) metrics from individual animal lying-behaviour data. HLC is a continuous framework for quantifying group-level behavioural cohesion from between-animal dispersion within observation intervals. The package implements standard deviation, mean absolute deviation, interquartile range, and entropy formulations, lying-weighted extensions, threshold-based synchrony comparisons, temporal summaries, and descriptive method-ranking tools. The HLC formulations are introduced in this package; related approaches to cattle behavioural synchrony include Raussi et al. (2011) <doi:10.1017/S1751731110001928>, Kok et al. (2023) <doi:10.1016/j.applanim.2023.105906>, and the activity metric framework of van Dixhoorn et al. (2024) <doi:10.24072/pcjournal.489>.
License: MIT + file LICENSE
URL: https://github.com/guilhermefranchi/HLCtools
BugReports: https://github.com/guilhermefranchi/HLCtools/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-15 18:46:38 UTC; au588902
Author: Guilherme Amorim Franchi [aut, cre, cph]
Maintainer: Guilherme Amorim Franchi <gaf@anivet.au.dk>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:15 UTC

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New package ggtintshade with initial version 0.1.2
Package: ggtintshade
Title: Tinting and Shading Aesthetics for 'ggplot2'
Version: 0.1.2
Description: Adds a 'tintshade' aesthetic to 'ggplot2' that varies the lightness of a mapped 'colour' or 'fill' within each hue group, keeping the plotted layer and its legend in sync. Supports both nested designs (each item belongs to one hue) and crossed designs (each lightness level appears across hues).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1), ggplot2 (>= 4.0.0)
Imports: cli, colorspace, grDevices, scales, stats
Suggests: gtable, knitr, rmarkdown, patchwork, testthat (>= 3.0.0), vdiffr
URL: https://github.com/wkumler/ggtintshade
BugReports: https://github.com/wkumler/ggtintshade/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-15 22:52:11 UTC; Will
Author: William Kumler [aut, cre]
Maintainer: William Kumler <wkumler@uw.edu>
Repository: CRAN
Date/Publication: 2026-07-23 13:20:02 UTC

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New package geozarr with initial version 0.1.0
Package: geozarr
Title: GeoZarr Conventions for Geospatial Data in Zarr Stores
Version: 0.1.0
Description: Large-scale gridded data stores are increasingly using the Zarr format. GeoZarr is defined in terms of a number of community conventions built on top of the Zarr specification. These conventions specify how Zarr metadata is to be interpreted to attach semantic meaning to the data in the Zarr array providing the metadata. This package implements a number of community conventions on top of the 'zarr' package, enabling the R community to use geospatial data stored in Zarr.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: CFtime (>= 1.7.3), R6
Depends: R (>= 4.2), zarr (>= 0.4.2)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/R-CF/geozarr
BugReports: https://github.com/R-CF/geozarr/issues
NeedsCompilation: no
Packaged: 2026-07-16 12:13:50 UTC; patrickvanlaake
Author: Patrick Van Laake [aut, cre]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:19 UTC

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New package fairlieR with initial version 0.1.1
Package: fairlieR
Title: Fairlie Decomposition for Nonlinear Models (Logit Models)
Version: 0.1.1
Description: Performs the Fairlie decomposition for nonlinear models (logit models). This function breaks down the difference in average outcomes between two groups into the part explained by group differences in observable characteristics and the unexplained part (Fairlie 1999 <doi:10.1086/209914>; Fairlie 2005 <doi:10.3233/JEM-2005-0259>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: ggplot2
URL: https://github.com/CathyBu9/fairlieR
BugReports: https://github.com/CathyBu9/fairlieR/issues
NeedsCompilation: no
Packaged: 2026-07-15 15:36:40 UTC; yan
Author: Xinyan Bu [aut, cre]
Maintainer: Xinyan Bu <xinyan.bu@outlook.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:02 UTC

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New package Dyn4cast with initial version 11.11.26
Package: Dyn4cast
Title: Dynamic Modeling and Machine Learning Environment
Version: 11.11.26
Description: Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving. The package is a variety but the following references are important guide to the major themes in the package (Hyndman & Athanasopoulos (2014 ISBN 978-0-9875071-0-5), Alkire & Santos (2014, doi.org/10.1016/j.worlddev.2014.01.026)).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: stats, splines, Metrics, tidyr, ggplot2, generics, magrittr, formattable, utils, zoo, ModelMetrics, dplyr, modelsummary, corrplot, marginaleffects, tibble, purrr, lifecycle, tidyselect
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0), tidyverse, rmarkdown, covr, caret, kableExtra, knitr, spelling, psych, readr, MetBrewer, data.table, ggtext, lubridate, forecast, MASS, mlogit, nnet, betareg, mvProbit, miscTools
URL: https://github.com/JobNmadu/Dyn4cast, https://jobnmadu.github.io/Dyn4cast/, https://jobnmadu.r-universe.dev/Dyn4cast
BugReports: https://github.com/JobNmadu/Dyn4cast/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 14:49:28 UTC; jobnm
Author: Job Nmadu [aut, cre]
Maintainer: Job Nmadu <job.nmadu@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 14:00:08 UTC

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New package DemogAnr with initial version 0.1.0
Package: DemogAnr
Title: Demographic Analysis
Version: 0.1.0
Description: Tool for demographic modeling and analysis, combining stochastic simulation-based projections with classic demographic methods. Provides utilities for disaggregating population data using Karup-King interpolation, fitting Brass relational logit models, calculating fertility and mortality metrics, building life tables, and performing hierarchical subnational population projections. Relational life table estimation and interpolation methods are described in Brass (1975) "Methods for Estimating Fertility and Mortality from Limited and Defective Data", Preston et al. (2001, ISBN:978-0631226161) "Demography: Measuring and Modeling Population Processes", Siegel and Swanson (2004, ISBN:978-0126419559) "The Methods and Materials of Demography", and Raftery et al. (2012) "Bayesian probabilistic population projections for all countries" <doi:10.1073/pnas.1211452109>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: dplyr, stats, tidyr
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-15 23:14:12 UTC; manue
Author: Edward Owusu Manu [aut, cre]
Maintainer: Edward Owusu Manu <edward.manu@statsghana.gov.gh>
Repository: CRAN
Date/Publication: 2026-07-23 13:20:07 UTC

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New package controller with initial version 0.1.0
Package: controller
Title: Controlled Vocabularies
Version: 0.1.0
Description: Work with controlled vocabularies; a predefined set of terms intended to be used in in a specific context. This package introduces the 'control' verb, which recodes values in a vector using a lookup table of preferred and variant terms (a 'thesaurus'). It also includes functions for reading controlled vocabularies from standard formats.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: curl, dplyr, fs, rlang, utils
Depends: R (>= 4.1.0)
URL: https://controller.joeroe.io, https://github.com/joeroe/controller
BugReports: https://github.com/joeroe/controller/issues
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-16 03:55:18 UTC; joeroe
Author: Joe Roe [aut, cre, cph]
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2026-07-23 13:30:07 UTC

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New package CMCMC with initial version 0.0.1
Package: CMCMC
Title: Contemporaneous Markov Chain Monte Carlo
Version: 0.0.1
Description: Implements contemporaneous Markov chain Monte Carlo (CMCMC) and interchain adaptive Markov chain Monte Carlo (INCA) samplers of Craiu, Rosenthal and Yang (2009) <doi:10.1198/jasa.2009.tm08393> for targets known up to a normalising constant. The samplers run multiple Metropolis chains in parallel and update proposal covariance estimates using contemporaneous particle groups. Built-in target kernels include multivariate normal, logistic regression, Poisson, Gaussian, Gamma, and hierarchical models, with support for user-provided target kernels. The formula interface glm_cmcmc() fits supported generalized linear models using the built-in kernels. 'CUDA' is used when available, and an 'OpenMP'-enabled CPU backend is available on systems without a 'CUDA' compiler.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
SystemRequirements: Optional CUDA toolkit and NVIDIA GPU for the CUDA backend; OpenMP for parallel CPU execution.
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-15 15:15:09 UTC; ahmad
Author: Ahmad ALQabandi [cre, aut, cph] , Louis Aslett [aut, ths, cph] , Murray Pollock [aut], Gareth Roberts [aut]
Maintainer: Ahmad ALQabandi <ahmad.alqabandi@durham.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-23 13:10:21 UTC

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New package burakDiagrams with initial version 0.1.0
Package: burakDiagrams
Title: Interactive Burak Diagrams for Model Performance Evaluation
Version: 0.1.0
Description: Creates interactive 3D Burak Diagrams for evaluating climatological and hydrological simulations. The BD-Clim framework evaluates climatological simulations by representing correlation, standard deviation, centered root mean-square difference, bias, and root mean-square difference. The BD-HydNSE framework evaluates hydrological simulations using correlation, standard deviation, centered root mean-square difference, percent bias, and Nash-Sutcliffe efficiency. The BD-HydKGE framework evaluates hydrological simulations using correlation, standard deviation, centered root mean-square difference, percent bias, and Kling-Gupta efficiency. The frameworks extend the Taylor Diagram ( Taylor (2001) <doi:10.1029/2000JD900719> ) by introducing an orthogonal axis for bias and representing selected performance metrics as surfaces in the resulting 3D space. Nash-Sutcliffe efficiency was introduced by Nash and Sutcliffe (1970) <doi:10.1016/0022-1694(70)90255-6>, and Kling-Gupta efficiency [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, magrittr, plotly, scales, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-16 12:03:52 UTC; omerburakakgun
Author: Omer Burak Akgun [aut, cre]
Maintainer: Omer Burak Akgun <oburakakgun@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 13:50:26 UTC

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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>

Diff between vDiveR versions 2.2.0 dated 2026-05-11 and 2.2.1 dated 2026-07-23

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New package sebkc with initial version 1.0-6
Package: sebkc
Title: Surface Energy Balance and Crop Coefficient Evapotranspiration Estimation
Version: 1.0-6
Date: 2026-07-15
Description: Computes and integrates surface energy balance components of evapotranspiration (ET), sensible heat (H), soil heat flux (G) and net radiation (Rn) into the Food and Agriculture Organization (FAO) Irrigation and Drainage Paper 56 (FAO-56) water balance model. The package can perform single crop coefficient (Kc), dual Kc and the integration of thermal-based evaporative fractions in a water balance model. The surface energy balance models include Two-Source Surface Energy Balance (TSEB) models, namely the Priestley-Taylor TSEB (TSEB-PT), the Penman-Monteith TSEB (TSEB-PM) and TSEB-Parallel, as well as One-Source Surface Energy Balance (OSEB) models, namely the Surface Energy Balance Algorithm for Land (SEBAL), Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), Surface Energy Balance Index (SEBI), Simplified Surface Energy Balance (SSEB) and Surface Energy Balance System (SEBS). Methods are described in Allen et al. (2007) <doi:10.1061/(ASCE)0733-9437( [...truncated...]
Depends: R (>= 3.5.0), raster (>= 2.5), sp (>= 1.2)
Imports: gstat, stats, graphics, grDevices, utils
License: GPL-2
Encoding: UTF-8
URL: https://github.com/gowusu/sebkc
BugReports: https://github.com/gowusu/sebkc/issues
NeedsCompilation: no
Packaged: 2026-07-15 11:34:25 UTC; PC
Author: George Owusu [aut, cre]
Maintainer: George Owusu <owusugeorge@ug.edu.gh>
Repository: CRAN
Date/Publication: 2026-07-23 12:40:08 UTC

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New package scShardSplitRef with initial version 0.1.0
Package: scShardSplitRef
Title: Build Custom Reference Genome for Single-Cell Multiome ATAC and Gene Expression Data of Large-Genome Species
Version: 0.1.0
Description: Provides utilities that enable researchers to build custom references for the Multiome ATAC Gene Expression sequencing data for large-genome species without manual intervention.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Imports: cli, rlang, stringi, utils, withr
Suggests: knitr, rmarkdown, roxyglobals, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-15 03:01:12 UTC; ikrstudio
Author: Irina Kuznetsova [aut, cre] , Luke Pembleton [aut] , Luca Curci [aut] , Adam H. Sparks [aut] , Curtin University [fnd, cph] , Grains Research and Development Corporation [fnd, cph] , ROR: <https://ror.org/02xwr1996>)
Maintainer: Irina Kuznetsova <irina.kuznetsova@curtin.edu.au>
Repository: CRAN
Date/Publication: 2026-07-23 12:30:02 UTC

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New package orchaRd with initial version 2.2.1
Package: orchaRd
Title: Visualizing Meta-Analyses with Orchard Plots and Prediction Intervals
Version: 2.2.1
Description: Generates prediction intervals and orchard plots for meta-analytic and meta-regression models fitted with the 'metafor' package. Orchard plots augment classic forest plots by displaying individual effect sizes together with group means and their confidence and prediction intervals, providing an enhanced visualization of meta-analytic data for ecology, evolution, and beyond. Methods are described in Nakagawa et al. (2023) <doi:10.1111/2041-210X.14152>.
Depends: R (>= 4.2)
URL: https://daniel1noble.github.io/orchaRd/
BugReports: https://github.com/daniel1noble/orchaRd/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ape, dplyr, emmeans, ggbeeswarm, ggplot2, latex2exp, magrittr, MASS, metafor, progress, rWishart, stats, tester, utils
Suggests: broom, glmmTMB, gt, knitr, lme4, metadat, moments, patchwork, PearsonDS, purrr, R.rsp, rmarkdown, testthat, tibble
NeedsCompilation: no
Packaged: 2026-07-15 06:02:42 UTC; noble
Author: Daniel Noble [aut, cre], Shinichi Nakagawa [aut]
Maintainer: Daniel Noble <daniel.noble@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-07-23 12:40:15 UTC

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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>

Diff between RcppParallel versions 5.1.11-2 dated 2026-03-05 and 6.0.0 dated 2026-07-23

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New package catmodeling with initial version 0.0.1
Package: catmodeling
Title: Catastrophe Model Simulation and Adjustment
Version: 0.0.1
Maintainer: Stephen Jewson <stephen.jewson@gmail.com>
Description: Manipulation of catastrophe model outputs, including tasks such as simulating year loss tables (YLTs) from event loss tables (ELTs), adjusting the frequencies of events in YLTs to create new YLTs, applying catastrophe exceedance of loss contracts (catXL), applying hours clauses, and calculating diagnostics from ELTs and YLTs, such as average annual loss and exceedance probability curves. Frequency adjustment routines are based on the paper "A new simulation algorithm for more precise estimates of change in catastrophe risk models, with application to hurricanes and climate change", Jewson, S. (2023); <doi:10.1007/s00477-023-02409-0>. Uses the compiled language 'Rust' in places and so requires a Rust compiler to be installed, or a binary installation.
Imports: stats, dplyr, utils, pracma, geosphere
Depends: R (>= 4.2)
License: AGPL-3
BugReports: https://github.com/stephenjewson/catmodeling/issues
URL: https://www.catmodeling.info
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
NeedsCompilation: yes
Packaged: 2026-07-11 11:45:59 UTC; steph
Author: Stephen Jewson [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-23 12:00:02 UTC

More information about catmodeling at CRAN
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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>

Diff between BAwiR versions 1.5.2 dated 2026-06-11 and 1.5.3 dated 2026-07-23

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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>

This is a re-admission after prior archival of version 1.3.1 dated 2022-09-01

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

Title: PĂ³lya Tree Type Models
Description: Fits Bayesian nonparametric models based on PĂ³lya tree processes, including adaptive PĂ³lya trees, Markov adaptive PĂ³lya trees, optional PĂ³lya 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 ipf (with last version 0.0.1) was removed from CRAN

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2026-07-09 0.0.1

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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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Package CompareCausalNetworks (with last version 0.2.6.2) was removed from CRAN

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

2020-02-17 0.2.6.2
2019-06-18 0.2.4
2018-05-18 0.2.2
2018-04-16 0.2.0
2017-07-31 0.1.9
2017-07-17 0.1.8
2016-12-01 0.1.5
2015-10-07 0.1.4
2015-06-23 0.1.1

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Package SELF (with last version 0.1.1) was removed from CRAN

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

2017-11-22 0.1.1
2017-11-13 0.1.0

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