Sun, 05 Jul 2026

Package shinyCohortBuilder updated to version 1.0.0 with previous version 0.4.0 dated 2026-02-25

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between shinyCohortBuilder versions 0.4.0 dated 2026-02-25 and 1.0.0 dated 2026-07-05

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More information about shinyCohortBuilder at CRAN
Permanent link

Package ggpmisc updated to version 1.0.0 with previous version 0.7.0 dated 2026-03-23

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics to locate and tag peaks and valleys and to label plots with the equation of a fitted polynomial model by ordinary least squares, major axis, quantile and robust and resistant regression approaches. Line and model equation for Normal mixture models. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; ANOVA table or summary table for fitted models as plot insets; annotations for multiple pairwise comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions, allowing model selection and conditional labelling. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpmisc versions 0.7.0 dated 2026-03-23 and 1.0.0 dated 2026-07-05

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New package osmnxr with initial version 0.1.1
Package: osmnxr
Title: Download, Model and Analyze 'OpenStreetMap' Street Networks
Version: 0.1.1
Description: A 'tidyverse'-friendly toolkit, inspired by the 'OSMnx' 'Python' library, to download, model, simplify, analyze and visualize street networks and other geospatial features from 'OpenStreetMap'. Build routable graphs from a place name, address, point or bounding box; simplify topology; compute shortest paths, isochrones and urban metrics (intersection density, circuity, street-orientation entropy, centrality); and export to 'sf', 'sfnetworks' and 'MapLibre'. Heavy graph computation is performed by a bundled 'Rust' core.
Language: en-US
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/osmnxr, https://strategicprojects.github.io/osmnxr/
BugReports: https://github.com/StrategicProjects/osmnxr/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Imports: cli, glue, httr2 (>= 1.0.0), purrr, rlang (>= 1.1.0), sf, tibble
Suggests: dodgr, ggplot2, jsonlite, knitr, rmarkdown, sfnetworks, testthat (>= 3.0.0), tidygraph, units, xml2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-28 17:57:25 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], StrategicProjects [cph, fnd], The extendr authors [cph] , David Tolnay [cph] , Alex Crichton [cph] , Marvin Loebel [cph] , Aleksey Kladov [...truncated...]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-05 20:30:02 UTC

More information about osmnxr at CRAN
Permanent link

Package h3sdm updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-15

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

Diff between h3sdm versions 0.1.6 dated 2026-06-15 and 0.1.7 dated 2026-07-05

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More information about h3sdm at CRAN
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Package cxreg readmission to version 1.1.2 with previous version 1.0.0 dated 2025-09-17

Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Description: Implements 'glmnet'-style complex-valued lasso (CLASSO) and complex-valued graphical lasso (CGLASSO) via a pathwise coordinate descent algorithm for complex-valued parameters, using an isomorphism between complex numbers and 2x2 orthogonal matrices. Also provides a full inference pipeline for high-dimensional sparse spectral precision matrices, including data-driven bandwidth selection, one-step debiasing, asymptotic variance estimation, entry-wise confidence regions, and FDR-controlled hypothesis testing. Supporting tools for cross-validation, simulation, coefficient extraction, and plotting are included. See Deb, Kuceyeski, and Basu (2024) <doi:10.48550/arXiv.2401.11128> and Deb, Kim, and Basu (2026) <doi:10.48550/arXiv.2606.07986>.
Author: Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [aut]
Maintainer: Younghoon Kim <ykim124@ua.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2025-09-17

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Package midi updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-03

Title: Microstructure Information from Diffusion Imaging
Description: An implementation of a taxonomy of models of restricted diffusion in biological tissues parametrized by the tissue geometry (axis, diameter, density, etc.). This is primarily used in the context of diffusion magnetic resonance (MR) imaging to model the MR signal attenuation in the presence of diffusion gradients. The goal is to provide tools to simulate the MR signal attenuation predicted by these models under different experimental conditions. The package feeds a companion 'shiny' app available at <https://midi-pastrami.apps.math.cnrs.fr> that serves as a graphical interface to the models and tools provided by the package. Models currently available are the ones in Neuman (1974) <doi:10.1063/1.1680931>, Van Gelderen et al. (1994) <doi:10.1006/jmrb.1994.1038>, Stanisz et al. (1997) <doi:10.1002/mrm.1910370115>, Soderman & Jonsson (1995) <doi:10.1006/jmra.1995.0014> and Callaghan (1995) <doi:10.1006/jmra.1995.1055>.
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

Diff between midi versions 0.1.0 dated 2024-04-03 and 0.2.0 dated 2026-07-05

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Package defineR updated to version 0.0.6 with previous version 0.0.5 dated 2025-12-15

Title: Creates Define XML Documents
Description: Creates 'define.xml' documents used for regulatory submissions based on spreadsheet metadata. Can also help create metadata and generate HTML data explorer.
Author: David Bosak [aut, cre], Aheer Alvi [aut], Jonathan Stallings [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between defineR versions 0.0.5 dated 2025-12-15 and 0.0.6 dated 2026-07-05

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Package dcvar updated to version 0.9.3 with previous version 0.2.0 dated 2026-04-27

Title: Dynamic Copula VAR Models for Time-Varying Dependence
Description: Fits Bayesian copula vector autoregressive models for bivariate time series with dynamic, regime-switching, and constant dependence structures. The package includes simulation, data preparation, estimation with 'Stan' through 'rstan' or 'cmdstanr', posterior summaries, diagnostics, trajectory extraction, fitted and predictive summaries, and approximate leave-one-out cross-validation model comparison for supported fits. For Bayesian computation and model comparison, see Carpenter et al. (2017) <doi:10.18637/jss.v076.i01> and Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.
Author: Benedikt Lugauer [aut, cre]
Maintainer: Benedikt Lugauer <benedikt.lugauer@uni-leipzig.de>

Diff between dcvar versions 0.2.0 dated 2026-04-27 and 0.9.3 dated 2026-07-05

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Package climatehealth updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-09

Title: Statistical Tools for Modelling Climate-Health Impacts
Description: Tools for producing climate-health indicators and supporting official statistics from health and climate data. Implements analytical workflows for temperature-related mortality, wildfire smoke exposure, air pollution, suicides related to extreme heat, malaria, and diarrhoeal disease outcomes, with utilities for descriptive statistics, model validation, attributable fraction and attributable number estimation, relative risk estimation, minimum mortality temperature estimation, and plotting for reporting. These six indicators are endorsed by the United Nations Statistical Commission for inclusion in the Global Set of Environment and Climate Change Statistics. Implemented methods include distributed lag non-linear models (DLNM), quasi-Poisson time-series regression, case-crossover analysis, Bayesian spatio-temporal models using the Integrated Nested Laplace Approximation ('INLA'), and multivariate meta-analysis for sub-national estimates. The package is based on methods developed in the S [...truncated...]
Author: Charlie Browning [aut], Kenechi Omeke [aut, cre], Etse Yawo Dzakpa [aut], Gladin Jose [aut], Matt Pearce [aut], Ellie Watkins [aut], Claire Hunt [aut], Beatrice Byukusenge [aut], Cassien Habyarimana [aut], Venuste Nyagahakwa [aut], Felix Scarbrough [ [...truncated...]
Maintainer: Kenechi Omeke <climate.health@ons.gov.uk>

Diff between climatehealth versions 1.0.2 dated 2026-06-09 and 1.0.3 dated 2026-07-05

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Permanent link

Package SNPannotator updated to version 1.4.8 with previous version 1.4.7 dated 2026-06-08

Title: Automated Functional Annotation of Genetic Variants and Linked Proxies
Description: To automated functional annotation of genetic variants and linked proxies. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.
Author: Alireza Ani [aut, cre], Zoha Kamali [aut], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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Permanent link

Package tourr updated to version 1.2.8 with previous version 1.2.7 dated 2026-05-15

Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Author: Hadley Wickham [aut, ctb] , Dianne Cook [aut, cre] , Nick Spyrison [ctb] , Ursula Laa [ctb] , H. Sherry Zhang [ctb] , Stuart Lee [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package strex updated to version 2.1.0 with previous version 2.0.1 dated 2024-10-03

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged; it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package treedater updated to version 2.0.0 with previous version 1.0.2 dated 2025-09-03

Title: Fast Molecular Clock Dating of Phylogenetic Trees with Rate Variation
Description: Functions for estimating times of common ancestry and molecular clock rates of evolution using a variety of evolutionary models, parametric and nonparametric bootstrap confidence intervals, methods for detecting outlier lineages, root-to-tip regression, and a statistical test for selecting molecular clock models. For more details see Volz and Frost (2017) <doi:10.1093/ve/vex025>.
Author: Erik Volz [aut, cre]
Maintainer: Erik Volz <erik.volz@gmail.com>

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Package GLmom updated to version 2.0.0 with previous version 1.3.1 dated 2026-02-27

Title: Generalized L-Moments Estimation for Extreme Value Distributions
Description: Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions (Martins-Stedinger, Park, Cannon, Coles-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also Hosking (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and Martins and Stedinger (2000) <doi:10.1029/1999WR900330> for penalized likelihood methods [...truncated...]
Author: Yonggwan Shin [aut, cre] , Seokkap Ko [aut, ctb] , Jihong Park [ctb] , Yire Shin [aut, dtc] , Jeong-Soo Park [aut, ths]
Maintainer: Yonggwan Shin <syg.stat@etri.re.kr>

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More information about GLmom at CRAN
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Package geneNR updated to version 3.0.0 with previous version 2.0.1 dated 2025-03-29

Title: Automated Gene Identification for Post-GWAS and QTL Analysis
Description: Facilitates the post-Genome Wide Association Studies (GWAS) and Quantitative Trait Loci (QTL) analysis of identifying candidate genes within user-defined search window, based on the identified Single Nucleotide Polymorphisms (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It supports candidate gene analysis for wheat and rice. Just import your GWAS result as explained in the sample_data file and the function does all the manual search and retrieve candidate genes for you, while exporting the results into ready-to-use output.
Author: Rajamani Nirmalaruban [aut, cre, cph], R. Suvitha [aut], Rajbir Yadav [aut], Meda Alekya [aut], Amit Kumar Mazumder [aut], Thirumurugan Sathya [aut], Subramani Sugumar [aut], Prashanth babu [aut], Manjeet Kumar [aut], Kiran B Gaikwad [aut], Naresh Ku [...truncated...]
Maintainer: Rajamani Nirmalaruban <nirmalaruban97@gmail.com>

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Package easyRasch2 updated to version 1.0.0 with previous version 0.8.0 dated 2026-06-08

Title: Psychometric Analysis with Rasch Measurement Theory
Description: Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, ordinal CFA fit indices, and partial-gamma DIF and local-dependence coefficients, optionally augmented with multiplicity-corrected bootstrap p-values. Outputs are knitr::kable() tables and 'ggplot2' figures suitab [...truncated...]
Author: Magnus Johansson [aut, cre] , Nicklas Korsell [ctb] , Mirka Henninger [ctb] , Jan Radek [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Package clifford updated to version 1.2-0-1 with previous version 1.2-0 dated 2026-06-30

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between clifford versions 1.2-0 dated 2026-06-30 and 1.2-0-1 dated 2026-07-05

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Package glyrepr updated to version 0.13.0 with previous version 0.12.1 dated 2026-06-19

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.12.1 dated 2026-06-19 and 0.13.0 dated 2026-07-05

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Package geomorph updated to version 4.1.1 with previous version 4.1.0 dated 2026-03-14

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read and manipulate landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.1.0 dated 2026-03-14 and 4.1.1 dated 2026-07-05

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Package arrayhelpers updated to version 1.1-1 with previous version 1.1-0 dated 2020-02-04

Title: Convenience Functions for Arrays
Description: Some convenient functions to work with arrays.
Author: Claudia Beleites [aut, cre]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.eu>

Diff between arrayhelpers versions 1.1-0 dated 2020-02-04 and 1.1-1 dated 2026-07-05

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Package vaccine updated to version 1.4.0 with previous version 1.3.1 dated 2025-09-07

Title: Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Description: Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023) <doi:10.48550/arXiv.2208.06465>.
Author: Avi Kenny [aut, cre]
Maintainer: Avi Kenny <avi.kenny@gmail.com>

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Package evmr updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-29

Title: Extreme Value Modeling for r-Largest Order Statistics
Description: Tools for extreme value modeling based on the r-largest order statistics framework. The package provides functions for parameter estimation via maximum likelihood, return level estimation with standard errors, profile likelihood-based confidence intervals, random sample generation, and entropy difference tests for selecting the number of order statistics r. Several r-largest order statistics models are implemented, including the four-parameter kappa (rK4D), generalized logistic (rGLO), generalized Gumbel (rGGD), logistic (rLD), and Gumbel (rGD) distributions. The rK4D methodology is described in Shin et al. (2022) <doi:10.1016/j.wace.2022.100533>, the rGLO model in Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and the rGGD model in Shin and Park (2025) <doi:10.1038/s41598-024-83273-y>. The underlying distributions are related to the kappa distribution of Hosking (1994) <doi:10.1017/CBO9780511529443>, the generalized logistic distribution discussed by Ah [...truncated...]
Author: Yire Shin [aut, cre] , Jeong-Soo Park [aut, ths]
Maintainer: Yire Shin <shinyire87@gmail.com>

Diff between evmr versions 0.1.0 dated 2026-03-29 and 0.2.0 dated 2026-07-05

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Package timeDF updated to version 0.9.2 with previous version 0.9.1 dated 2024-04-28

Title: Subset and Flag Data Frames with Times by the Use of Periods
Description: Data frames with time information are subset and flagged with period information. Data frames with times are dealt as timeDF objects and periods are represented as periodDF objects.
Author: Toshihiro Umehara [aut, cre]
Maintainer: Toshihiro Umehara <toshi@niceume.com>

Diff between timeDF versions 0.9.1 dated 2024-04-28 and 0.9.2 dated 2026-07-05

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Package albersdown updated to version 2.0.0 with previous version 1.0.0 dated 2026-04-01

Title: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
Description: Provides a minimalist 'ggplot2' theme, colour scales, and 'pkgdown' template built around a curated colour palette system inspired by Josef Albers' colour theory (Albers (1963, ISBN:978-0-300-17935-4) "Interaction of Color"). Includes helpers to apply consistent theming to 'ggplot2' plots, 'gt' tables, and 'bslib' Bootstrap 5 sites, along with one-command setup functions for adopting the style across an R package.
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>

Diff between albersdown versions 1.0.0 dated 2026-04-01 and 2.0.0 dated 2026-07-05

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More information about albersdown at CRAN
Permanent link

Package treestructure updated to version 1.0.1 with previous version 0.7.0 dated 2025-09-27

Title: Detect Population Structure Within Phylogenetic Trees
Description: Algorithms for detecting population structure from the history of coalescent events recorded in phylogenetic trees. This method classifies each tip and internal node of a tree into disjoint sets characterized by similar coalescent patterns.
Author: Erik Volz [aut, cre] , Fabricia F. Nascimento [ctb] , Vinicius B. Franceschi [ctb]
Maintainer: Erik Volz <erik.volz@gmail.com>

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New package RobustLPA with initial version 0.1.0
Package: RobustLPA
Title: Robust Latent Profile Analysis
Version: 0.1.0
Description: Provides a comprehensive toolset for estimating Latent Profile Analysis (LPA) models that are robust to multivariate outliers and missing data. By integrating a high-performance 'C++' engine via 'RcppArmadillo' with a Full Information Maximum Likelihood (FIML) approach and Huber weighting, it reliably extracts latent profiles even in complex datasets. It supports multiple geometric variance-covariance models, along with functions for bootstrapped likelihood ratio tests and plotting. For methodological details on the Bootstrapped Likelihood Ratio Test, see Nylund et al. (2007) <doi:10.1080/10705510701575396>. For robust clustering methods, see Garcia-Escudero et al. (2010) <doi:10.1007/s11634-010-0064-5>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, stats
NeedsCompilation: yes
Packaged: 2026-06-30 08:24:49 UTC; hp
Author: Valerio Riccardo Aquila [aut, cre]
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>
Repository: CRAN
Date/Publication: 2026-07-05 11:00:02 UTC

More information about RobustLPA at CRAN
Permanent link

Package rlang updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-06

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

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More information about rlang at CRAN
Permanent link

Package Rcpp updated to version 1.1.2 with previous version 1.1.1-1.1 dated 2026-04-24

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , JJ Allaire [aut] , Kevin Ushey [aut] , Qiang Kou [aut] , Nathan Russell [aut], Inaki Ucar [aut] , Doug Bates [aut] , John Chambers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.1.1-1.1 dated 2026-04-24 and 1.1.2 dated 2026-07-05

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More information about Rcpp at CRAN
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Package QuantBondCurves readmission to version 0.3.3 with previous version 0.3.2 dated 2025-07-06

Title: Calculates Bond Values and Interest Rate Curves for Finance
Description: Values different types of assets and calibrates discount curves for quantitative financial analysis. It covers fixed coupon assets, floating note assets, interest and cross currency swaps with different payment frequencies. Enables the calibration of spot, instantaneous forward and basis curves, making it a powerful tool for accurate and flexible bond valuation and curve generation. The valuation and calibration techniques presented here are consistent with industry standards and incorporates author's own calculations. Tuckman, B., Serrat, A. (2022, ISBN: 978-1-119-83555-4).
Author: Camilo Diaz [aut, cre, com], Andres Galeano [aut], Julian Rojas [aut], Quantil S.A.S [aut, cph]
Maintainer: Camilo Diaz <kamodiaz@gmail.com>

This is a re-admission after prior archival of version 0.3.2 dated 2025-07-06

Diff between QuantBondCurves versions 0.3.2 dated 2025-07-06 and 0.3.3 dated 2026-07-05

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More information about QuantBondCurves at CRAN
Permanent link

Package OutliersO3 updated to version 0.7 with previous version 0.6.3 dated 2020-04-24

Title: Draws Overview of Outliers (O3) Plots
Description: Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) <doi:10.1080/10618600.2019.1575226>. The available methods are FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>

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Permanent link

Package LPWC readmission to version 1.0.1 with previous version 1.0.0 dated 2020-01-23

Title: Lag Penalized Weighted Correlation for Time Series Clustering
Description: Computes a time series distance measure for clustering based on weighted correlation and introduction of lags. The lags capture delayed responses in a time series dataset. The timepoints must be specified. T. Chandereng, A. Gitter (2020) <doi:10.1186/s12859-019-3324-1>.
Author: Thevaa Chandereng [aut, cre, cph] , Anthony Gitter [aut, cph]
Maintainer: Thevaa Chandereng <thevaasiinen@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2020-01-23

Diff between LPWC versions 1.0.0 dated 2020-01-23 and 1.0.1 dated 2026-07-05

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Permanent link

Package lorbridge updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-21

Title: Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures
Description: Provides a unified analytical workflow that bridges conventional binary and multinomial logistic regression with singly-ordered (SONSCA) and doubly-ordered (DONSCA) nonsymmetric correspondence analysis. Log-odds ratios (LORs) from logistic regression are re-expressed as cosine theta estimates and closeness-of-concordance measures (CCMs) -- including Yule's Q, Yule's Y, and r_meta -- on the familiar [-1, +1] scale introduced by Kim and Grochowalski (2019) <doi:10.1007/s00357-018-9277-7>. Bootstrap confidence intervals for cosine theta are provided throughout. The package is intended to help clinical and medical researchers interpret association strength from logistic regression in an intuitive, correlation-like metric, and to connect conventional regression results with geometric correspondence analysis visualisations.
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>

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Permanent link

Package gggenes updated to version 0.7.0 with previous version 0.6.0 dated 2025-12-14

Title: Draw Gene Arrow Maps in 'ggplot2'
Description: A 'ggplot2' extension for drawing gene arrow maps.
Author: David Wilkins [aut, cre], Zachary Kurtz [ctb]
Maintainer: David Wilkins <david@wilkox.org>

Diff between gggenes versions 0.6.0 dated 2025-12-14 and 0.7.0 dated 2026-07-05

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 NAMESPACE                                                                                  |    7 
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 R/data.R                                                                                   |    2 
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 R/geom_feature_label.R                                                                     |  209 +---
 R/geom_gene_arrow.R                                                                        |  191 ++--
 R/geom_gene_label.R                                                                        |  153 +--
 R/geom_subgene_arrow.R                                                                     |  450 +++-------
 R/geom_subgene_label.R                                                                     |  134 +-
 R/geom_terminator.R                                                                        |  125 +-
 R/geom_terminator_label.R                                                                  |  209 +---
 R/gggenes-package.R                                                                        |    1 
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 R/theme_genes.R                                                                            |   56 -
 R/utilities.R                                                                              |  350 ++-----
 README.md                                                                                  |   15 
 build/vignette.rds                                                                         |binary
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 man/geom_terminator.Rd                                                                     |    6 
 man/geom_terminator_label.Rd                                                               |   12 
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Package crmPack updated to version 2.2.0 with previous version 2.1.0 dated 2026-01-30

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre] , Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [ [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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Package CopernicusMarine updated to version 0.4.7 with previous version 0.4.6 dated 2026-04-07

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

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Package allelematch updated to version 2.6.0 with previous version 2.5.5 dated 2025-07-26

Title: Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present
Description: Tools for the identification of unique multilocus genotypes when both genotyping error and missing data may be present. Includes a data pre-screening utility to analyze pairwise locus overlap and protect against underlying mathematical sorting constraints. Targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). The complete user manual and analytical tutorials are included locally as an R vignette and can be accessed within an active R session using vignette('allelematch').
Author: Paul Galpern [aut], Micheline Manseau [aut], Pete Hettinga [aut], Karen Smith [aut], Paul Wilson [aut], Todd Cross [cre]
Maintainer: Todd Cross <todd.cross@gmail.com>

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Package tsissm updated to version 1.0.3 with previous version 1.0.2 dated 2025-07-12

Title: Linear Innovations State Space Unobserved Components Model
Description: Unobserved components time series model using the linear innovations state space representation (single source of error) with choice of error distributions and option for dynamic variance. Methods for estimation using automatic differentiation, automatic model selection and ensembling, prediction, filtering, simulation and backtesting. Based on the model described in Hyndman et al (2012) <doi:10.1198/jasa.2011.tm09771>.
Author: Alexios Galanos [aut, cre]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package treemapify updated to version 2.6.1 with previous version 2.6.0 dated 2025-12-14

Title: Draw Treemaps in 'ggplot2'
Description: Provides 'ggplot2' geoms for drawing treemaps.
Author: David Wilkins [aut, cre] , Bob Rudis [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package Sequential updated to version 4.6.1 with previous version 4.6.0 dated 2026-04-21

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled. For regression versions of the methods, Monte Carlo and asymptotic methods are used.
Author: Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

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Package QRAGadget updated to version 0.4 with previous version 0.3.0 dated 2023-06-23

Title: A 'Shiny' Gadget for Interactive 'QRA' Visualizations
Description: Upload raster data and easily create interactive quantitative risk analysis 'QRA' visualizations. Select from numerous color palettes, base-maps, and different configurations.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mclust updated to version 6.1.3 with previous version 6.1.2 dated 2025-10-31

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut] , Luca Scrucca [aut, cre] , Thomas Brendan Murphy [ctb] , Michael Fop [ctb]
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>

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Package ggfittext updated to version 0.10.4 with previous version 0.10.3 dated 2025-12-13

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package fcmfd updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-23

Title: Fuzzy C-Means for Fuzzy Data
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>

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Package geoperu updated to version 0.0.1 with previous version 0.0.0.2 dated 2024-04-01

Title: Download Spatial Datasets of Peru
Description: Provides access to official spatial datasets of Peru as 'sf' objects in 'R'. Includes administrative boundaries from the National Institute of Statistics and Informatics (INEI) <https://ide.inei.gob.pe/> and protected natural areas from the National Service of Natural Areas Protected by the State (SERNANP) <https://www.gob.pe/institucion/sernanp/pages/21261-acceder-a-informacion-espacial-de-las-area-naturales-protegidas-visor-de-informacion-geografica>. Harmonizes attributes, coordinate reference systems, and topology to support consistent spatial analysis and visualization.
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

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