Fri, 03 Jul 2026

Package plssem updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-01

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

Diff between plssem versions 0.1.2 dated 2026-06-01 and 0.1.3 dated 2026-07-03

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Package maicChecks updated to version 0.3.0 with previous version 0.2.0 dated 2025-03-03

Title: Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)
Description: The current version (0.3.0) streamlines the underlying code, adds a feasibility check to 'maicWt' and 'maxessWt', extends 'exmWt.2ipd' with options 'target.ipd' and 'method' for one-sided MAIC weighting between two IPDs, and adds 'wtTrtDiff' for the weighted treatment-effect difference with a Wald confidence interval based on Section 5 of Glimm & Yau (2026). The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2026) <doi:10.1080/19466315.2025.2507378>). The initial version (0.1.2) contains a collection of easy-to-implement tools for checking whether a MAIC can be conducted, as well as an alternative way of calculating weights (see Glimm & Yau (2022) <doi:10.1002/pst.2210>.)
Author: Lillian Yau [aut, cre], Ekkehard Glimm [aut], Xinlei Deng [aut]
Maintainer: Lillian Yau <maicChecks@gmail.com>

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Package datazoom.amazonia updated to version 1.2.0 with previous version 1.1.0 dated 2023-12-12

Title: Simplify Access to Data from the Amazon Region
Description: Provides tools for downloading and processing data on the Brazilian Amazon region from a variety of official sources. Covers environmental, agricultural, economic, and social indicators, including deforestation and land use, greenhouse gas emissions, climate, agricultural and livestock production, mining, energy, and foreign trade, from providers such as the Brazilian Institute of Geography and Statistics (IBGE), the National Institute for Space Research (INPE), and MapBiomas. Data are cleaned and standardized for analysis at the municipality, state, and regional levels.
Author: Laura Tavares Regadas [aut, cre], DataZoom [fnd], Gustavo Gonzaga [aut], Igor Rigolon Veiga [aut], Guilherme Jardim [aut], Daniel AC Barbosa [aut], Bruno Alcantara Duarte [aut], Fredie Didier [aut], Tito Bruni [aut], Luiz Guilherme Lopes Moussatche [...truncated...]
Maintainer: Laura Tavares Regadas <lauratregadas@gmail.com>

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Package CNVScope updated to version 3.7.5 with previous version 3.7.2 dated 2022-03-30

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgleish [aut, cre] , Yonghong Wang [aut], Jack Zhu [aut], Paul Meltzer [aut, sad]
Maintainer: James Dalgleish <jamesdalg@gmail.com>

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Package CopernicusDataspace updated to version 0.0.3 with previous version 0.0.1 dated 2026-05-21

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

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Package rstatix updated to version 1.0.0 with previous version 0.7.3 dated 2025-10-18

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>

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Package neonSoilFlux updated to version 4.0.1 with previous version 4.0.0 dated 2026-06-30

Title: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites
Description: Acquires and synthesizes soil carbon fluxes at sites located in the National Ecological Observatory Network (NEON). Provides flux estimates and associated uncertainty as well as key environmental measurements (soil water, temperature, CO2 concentration) that are used to compute soil fluxes.
Author: John Zobitz [aut, cre] , Edward Ayres [aut] , Katie O'Rourke [ctb] , Zoey Werbin [ctb], Lajntxiag Lee [ctb], Ridwan Abdi [ctb] , Dijone Mehmeti [ctb] , Ly Xiong [ctb]
Maintainer: John Zobitz <zobitz@augsburg.edu>

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Package FinePop2 readmission to version 0.6 with previous version 0.4 dated 2020-02-28

Title: Fine-Scale Population Analysis (Rewrite for Gene-Trait-Environment Interaction Analysis)
Description: Statistical tool set for population genetics. The package provides following functions: 1) estimators of genetic differentiation (FST), 2) regression analysis of environmental effects on genetic differentiation using generalized least squares (GLS) method, 3) interfaces to read and manipulate 'GENEPOP' format data files). For more information, see Kitada, Nakamichi and Kishino (2020) <doi:10.1101/2020.01.30.927186>.
Author: Reiichiro Nakamichi [aut, cre], Shuichi Kitada [aut], Hirohisa Kishino [aut]
Maintainer: Reiichiro Nakamichi <nakamichi_reiichiro33@fra.go.jp>

This is a re-admission after prior archival of version 0.4 dated 2020-02-28

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Package COVID19 updated to version 3.0.4 with previous version 3.0.3 dated 2023-02-28

Title: R Interface to COVID-19 Data Hub
Description: Provides a daily summary of COVID-19 cases, deaths, recovered, tests, vaccinations, and hospitalizations for 230+ countries, 760+ regions, and 12000+ administrative divisions of lower level. Includes policy measures, mobility data, and geospatial identifiers. Data source: COVID-19 Data Hub <https://covid19datahub.io>.
Author: Emanuele Guidotti [aut, cre] , David Ardia [ctb]
Maintainer: Emanuele Guidotti <emanuele.guidotti@usi.ch>

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Package optedr updated to version 3.0.1 with previous version 3.0.0 dated 2026-06-23

Title: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
Description: Calculates D-, Ds-, A-, I- and L-optimal designs, weighted combinations of these via a Compound criterion, and KL-optimal designs for model discrimination, for non-linear single- and multi-factor models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Multi-factor models use design variables x1, x2, … with a named-list design space; single-factor models remain backward compatible. Compares designs via their efficiency, augments any design with a controlled efficiency loss, and provides efficient rounding functions to convert approximate designs to exact ones.
Author: Carlos de la Calle-Arroyo [aut, cre] , Jesus Lopez-Fidalgo [aut] , Licesio J. Rodriguez-Aragon [aut]
Maintainer: Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>

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Package GenericML updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-18

Title: Generic Machine Learning Inference
Description: Generic Machine Learning Inference on heterogeneous treatment effects in randomized experiments as proposed in Chernozhukov, Demirer, Duflo and Fernández-Val (2020) <doi:10.48550/arXiv.1712.04802>. This package's workhorse is the 'mlr3' framework of Lang et al. (2019) <doi:10.21105/joss.01903>, which enables the specification of a wide variety of machine learners. The main functionality, GenericML(), runs Algorithm 1 in Chernozhukov, Demirer, Duflo and Fernández-Val (2020) <doi:10.48550/arXiv.1712.04802> for a suite of user-specified machine learners. All steps in the algorithm are customizable via setup functions. Methods for printing and plotting are available for objects returned by GenericML(). Parallel computing is supported.
Author: Max Welz [aut, cre] , Andreas Alfons [aut] , Mert Demirer [aut], Victor Chernozhukov [aut]
Maintainer: Max Welz <max.welz@uzh.ch>

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Package BFS updated to version 0.7.2 with previous version 0.7.1 dated 2026-02-05

Title: Get Data from the Swiss Federal Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre, cph] , Marius Hodel [ctb] , Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package munsellinterpol updated to version 3.4-0 with previous version 3.3-2 dated 2026-03-12

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package explor updated to version 0.3.11 with previous version 0.3.10 dated 2023-04-29

Title: Interactive Interfaces for Results Exploration
Description: Shiny interfaces and graphical functions for multivariate analysis results exploration.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package CBTF updated to version 0.7.0 with previous version 0.6.0 dated 2026-02-13

Title: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner
Description: A simple runner for fuzz-testing functions in an R package's public interface. Fuzz testing helps identify functions lacking sufficient argument validation, and uncovers problematic inputs that, while valid by function signature, may cause issues within the function body.
Author: Marco Colombo [aut, cre]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

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Package splitGraph updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-29

Title: Dataset Dependency Graphs for Leakage-Aware Evaluation
Description: Represent biomedical dataset structure as typed dependency graphs so that sample provenance, repeated-measure structure, study design, batch effects, and temporal relationships are explicit and inspectable. Validates dataset structure, detects sample-level overlap, derives deterministic split constraints, and produces a tool-agnostic split specification for leakage-aware evaluation workflows.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package bacenR updated to version 0.4.4 with previous version 0.4.3 dated 2026-06-23

Title: Access Data from Brazilian Central Bank: IFdata, Active Institutions, Balance Sheets and Normative Acts
Description: Provides functions to query, retrieve, and tidy economic and financial data from Brazilian Central Bank web services for use in R analyses and workflows. Active institutions information, balance sheets and normative acts.
Author: Ricardo Theodoro [aut, cre]
Maintainer: Ricardo Theodoro <rtheodoro@usp.br>

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Package actuaRE updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-27

Title: Handling Single-Level and Hierarchically Structured Risk Factors using Credibility and Random Effects Models
Description: Fits random effects models for multi-level/high-cardinality factors using credibility theory (Buhlmann-Straub for single-level, Jewell for hierarchical structures), GLM extensions following Ohlsson (2008) <doi:10.1080/03461230701878612>, or Tweedie generalized linear mixed models. Provides functions for model fitting, visualization, and prediction. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.
Author: Campo Bavo D.C. [aut, cre]
Maintainer: Campo Bavo D.C. <bavo.decock@kuleuven.be>

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Package hsphase updated to version 3.0.1 with previous version 3.0.0 dated 2026-02-17

Title: Phasing, Pedigree Reconstruction, Sire Imputation and Recombination Events Identification of Half-sib Families Using SNP Data
Description: Identification of recombination events, haplotype reconstruction, sire imputation and pedigree reconstruction using half-sib family SNP data.
Author: Mohammad Ferdosi [aut, cre], Cedric Gondro [aut]
Maintainer: Mohammad Ferdosi <mhferdosi@yahoo.com>

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Package rjd3jars updated to version 0.0.4 with previous version 0.0.3 dated 2026-03-10

Title: External jars for 'rjdverse' R Packages
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package saqgetr updated to version 0.2.24 with previous version 0.2.21 dated 2021-01-12

Title: Import Air Quality Monitoring Data in a Fast and Easy Way
Description: A collection of tools to access prepared air quality monitoring data files from web servers with ease and speed. Air quality data are sourced from open and publicly accessible repositories and can be found in these locations: <https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-8> and <https://discomap.eea.europa.eu/map/fme/AirQualityExportAirbase.htm>. The web server space has been provided by Ricardo Energy & Environment.
Author: Stuart K. Grange [cre, aut]
Maintainer: Stuart K. Grange <stuart.grange@unibe.ch>

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Package reaborn updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-30

Title: Statistical Data Visualization, the 'seaborn' Way
Description: An 'R' port of the 'Python' 'seaborn' library. 'reaborn' mirrors the 'seaborn' public function API (identical function names, argument names, and defaults) and renders visually indistinguishable plots using 'ggplot2'. Because every 'reaborn' plot is a 'ggplot' object, it can be extended with the full 'ggplot2' grammar of graphics.
Author: Shawn Schwartz [aut, cre]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

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Package mixor readmission to version 1.0.7 with previous version 1.0.4 dated 2018-06-14

Title: Mixed-Effects Ordinal Regression Analysis
Description: Provides the function 'mixor' for fitting a mixed-effects ordinal and binary response models and associated methods for printing, summarizing, extracting estimated coefficients and variance-covariance matrix, and estimating contrasts for the fitted models.
Author: Kellie J. Archer [aut, cre] , Donald Hedeker [aut], Rachel Nordgren [aut], Robert D. Gibbons [aut]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

This is a re-admission after prior archival of version 1.0.4 dated 2018-06-14

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Package lfl updated to version 2.4.0 with previous version 2.3.1 dated 2025-12-16

Title: Linguistic Fuzzy Logic
Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing Mamdani, implicative, and perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and the fuzzy transform.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package gscramble updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-28

Title: Simulating Admixed Genotypes Without Replacement
Description: A genomic simulation approach for creating biologically informed individual genotypes from empirical data that 1) samples alleles from populations without replacement, 2) segregates alleles based on species-specific recombination rates. 'gscramble' is a flexible simulation approach that allows users to create pedigrees of varying complexity in order to simulate admixed genotypes. Furthermore, it allows users to track haplotype blocks from the source populations through the pedigrees.
Author: Eric C. Anderson [aut, cre] , Rachael M. Giglio [aut] , Matt G. DeSaix [aut] , Timothy J. Smyser [aut]
Maintainer: Eric C. Anderson <eriq@rams.colostate.edu>

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Package geslaR updated to version 1.0-3 with previous version 1.0-1 dated 2023-10-09

Title: Get and Manipulate the GESLA Dataset
Description: Promote access to the GESLA <https://gesla787883612.wordpress.com> (Global Extreme Sea Level Analysis) dataset, a higher-frequency sea-level record data from all over the world. It provides functions to download it entirely, or query subsets directly into R, without the need of downloading the full dataset. Also, it provides a built-in web-application, so that users can apply basic filters to select the data of interest, generating informative plots, and showing the selected sites.
Author: Fernando Mayer [aut, cre] , Niamh Cahill [aut]
Maintainer: Fernando Mayer <fernando.mayer@ufpr.br>

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Package DGEAR updated to version 0.2.1 with previous version 0.1.4 dated 2024-06-26

Title: Differential Gene Expression Analysis with R
Description: Analyses gene expression data derived from microarray experiments to detect differentially expressed genes (DEGs) by employing majority voting across five statistical models: Welch t-test, one-way ANOVA, Dunnett's test, Half's modified t-test, and the Wilcoxon-Mann-Whitney U-test. Combined p-values are computed with Fisher's method. Gene annotation is optional: users may supply a GEO SOFT annotation table or rely on row names directly. Boyer, R.S., Moore, J.S. (1991) <doi:10.1007/978-94-011-3488-0_5>.
Author: Koushik Bardhan [aut, cre, ctb] , Chiranjib Sarkar [aut, ths]
Maintainer: Koushik Bardhan <koushikbardhan2000@gmail.com>

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Package cohortBuilder updated to version 1.0.0 with previous version 0.4.0 dated 2026-02-24

Title: Data Source Agnostic Filtering Tools
Description: Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with 'shinyCohortBuilder' as the GUI for interactive Shiny apps.
Author: Krystian Igras [cre, aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between cohortBuilder versions 0.4.0 dated 2026-02-24 and 1.0.0 dated 2026-07-03

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 cohortBuilder-1.0.0/cohortBuilder/R/filter.R                                                                            | 1186 ++++--
 cohortBuilder-1.0.0/cohortBuilder/R/hooks.R                                                                             |   26 
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 cohortBuilder-1.0.0/cohortBuilder/inst/doc/cohortBuilder.R                                                              |   21 
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 cohortBuilder-1.0.0/cohortBuilder/inst/doc/managing-cohort.R                                                            |   60 
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 cohortBuilder-1.0.0/cohortBuilder/tests/testthat/test-step.R                                                            |   22 
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Package GRAB updated to version 0.2.5 with previous version 0.2.4 dated 2025-12-05

Title: Genome-Wide Robust Analysis for Biobank Data (GRAB)
Description: Provides a comprehensive suite of genome-wide association study (GWAS) methods specifically designed for biobank-scale data, including but not limited to, robust approaches for time-to-event traits (Li et al., 2025 <doi:10.1038/s43588-025-00864-z>) and ordinal categorical traits (Bi et al., 2021 <doi:10.1016/j.ajhg.2021.03.019>). The package also offers general frameworks for GWAS of any trait type (Bi et al., 2020 <doi:10.1016/j.ajhg.2020.06.003>), while accounting for sample relatedness (Xu et al., 2025 <doi:10.1038/s41467-025-56669-1>) or population structure (Ma et al., 2025 <doi:10.1186/s13059-025-03827-9>). By accurately approximating score statistic distributions using saddlepoint approximation (SPA), these methods can effectively control type I error rates for rare variants and in the presence of unbalanced phenotype distributions. Additionally, the package includes functions for simulating genotype and phenotype data to support research and method [...truncated...]
Author: Wenjian Bi [aut], Wei Zhou [aut], Rounak Dey [aut], Zhangchen Zhao [aut], Seunggeun Lee [aut], Woody Miao [cre]
Maintainer: Woody Miao <miaolin@pku.edu.cn>

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More information about GRAB at CRAN
Permanent link

Package tinyplot updated to version 0.7.0 with previous version 0.6.1 dated 2026-03-28

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package dtgiw updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-31

Title: Discrete Transmuted Generalized Inverse Weibull Distribution
Description: The Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution is a new distribution for count data analysis. The DTGIW is a discrete distribution based on Atchanut and Sirinapa (2021). <DOI: 10.14456/sjst-psu.2021.149>. In addition, a function for maximum likelihood estimation of the DTGIW distribution is provided.
Author: Atchanut Rattanalertnusorn [cre, aut], Sirinapa Aryuyuen [aut]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>

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Package CohortSurvival updated to version 1.1.2 with previous version 1.1.1 dated 2026-05-13

Title: Estimate Survival from Common Data Model Cohorts
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>

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Package semanticfa updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-15

Title: Semantic Factor Analysis of Language Model Embeddings
Description: Performs exploratory factor analysis on language model embeddings of psychological scale items. Embeds item text with sentence transformers or other language models, transforms the embeddings into item-by-item similarity matrices, and extracts latent factor structure via standard exploratory factor analysis. Supports embedding-adapted parallel analysis, several similarity transforms (atomic reversed, SQuID centering, mean-centered Pearson), and fit diagnostics tailored to embedding matrices (TEFI, RMSR, CAF, McDonald's omega). The underlying methods are documented with full citations in the corresponding function help pages. Returns objects compatible with 'psych' and 'EFAtools' workflows.
Author: Devon Yanitski [aut, cre] , Chris Westbury [aut]
Maintainer: Devon Yanitski <dyanitsk@ualberta.ca>

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Package RRPP updated to version 2.2.0 with previous version 2.1.2 dated 2025-02-18

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] , Dean Adams [aut]
Maintainer: Michael Collyer <mlcollyer@gmail.com>

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Thu, 02 Jul 2026

Package GET updated to version 1.0-8 with previous version 1.0-7 dated 2025-05-19

Title: Global Envelopes
Description: Implementation of global envelopes for a set of general d-dimensional vectors T in various applications. A 100(1-alpha)% global envelope is a band bounded by two vectors such that the probability that T falls outside this envelope in any of the d points is equal to alpha. Global means that the probability is controlled simultaneously for all the d elements of the vectors. The global envelopes can be used for graphical Monte Carlo and permutation tests where the test statistic is a multivariate vector or function (e.g. goodness-of-fit testing for point patterns and random sets, functional analysis of variance, functional general linear model, n-sample test of correspondence of distribution functions), for central regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička (2024) <doi:10.18637/jss.v111.i03 [...truncated...]
Author: Mari Myllymaeki [aut, cre] , Tomas Mrkvicka [aut], Mikko Kuronen [ctb], Jiri Dvorak [ctb], Pavel Grabarnik [ctb], Ute Hahn [ctb], Michael Rost [ctb], Henri Seijo [ctb]
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>

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Package GenOrd updated to version 2.1.0 with previous version 2.0.0 dated 2025-09-22

Title: Simulation of Discrete Random Variables with Marginal Distributions and Correlation Matrix and via a Gaussian or Student's t Copula
Description: A Gaussian or Student's t copula-based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.
Author: Alessandro Barbiero [aut, cre], Pier Alda Ferrari [aut]
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>

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Package frontmatter updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-09

Title: Parse Front Matter from Documents
Description: Extracts and parses structured metadata ('YAML' or 'TOML') from the beginning of text documents. Front matter is a common pattern in 'Quarto' documents, 'R Markdown' documents, static site generators, documentation systems, content management tools and even 'Python' and 'R' scripts where metadata is placed at the top of a document, separated from the main content by delimiter fences.
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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Package rerddap updated to version 1.3.0 with previous version 1.2.3 dated 2026-02-26

Title: General Purpose Client for 'ERDDAP™' Servers
Description: General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package rdwd updated to version 1.9.17 with previous version 1.9.8 dated 2025-12-21

Title: Select and Download Climate Data from 'DWD' (German Weather Service)
Description: Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see <https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more information). Choose observational time series from meteorological stations with 'selectDWD()'. Find raster data from radar and interpolation according to <https://brry.github.io/rdwd/raster-data.html>. Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'. Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Author: Berry Boessenkool [aut, cre]
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package quantregForest updated to version 1.4-0 with previous version 1.3-7.1 dated 2024-10-07

Title: Quantile Regression Forests
Description: Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.
Author: Nicolai Meinshausen [aut, cre], Loris Michel [aut]
Maintainer: Nicolai Meinshausen <meinshausen@gmail.com>

Diff between quantregForest versions 1.3-7.1 dated 2024-10-07 and 1.4-0 dated 2026-07-02

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Package openalexR updated to version 3.1.0 with previous version 3.0.1 dated 2026-01-14

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://developers.openalex.org/>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between openalexR versions 3.0.1 dated 2026-01-14 and 3.1.0 dated 2026-07-02

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Package modsem updated to version 1.0.21 with previous version 1.0.20 dated 2026-06-01

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package gsDesign updated to version 3.10.0 with previous version 3.9.0 dated 2026-02-15

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package ggseg updated to version 2.2.1 with previous version 2.2.0 dated 2026-06-22

Title: Plotting Tool for Brain Atlases
Description: Provides a 'ggplot2' geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as polygon data, enabling seamless integration with the 'ggplot2' ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Ramiro Magno [ctb] , Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package DrugUtilisation updated to version 1.2.1 with previous version 1.2.0 dated 2026-06-18

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Permanent link

Package ColombiAPI updated to version 0.4.0 with previous version 0.3.2 dated 2026-05-06

Title: Access Colombian Data via APIs and Curated Datasets
Description: Provides a comprehensive interface to access diverse public data about Colombia through multiple APIs and curated datasets. The package integrates three different APIs: 'API-Colombia' for Colombian-specific data including geography, culture, tourism, and government information; 'World Bank API' for economic and demographic indicators; and 'Nager.Date' for public holidays. The package enables users to explore various aspects of Colombia such as geographic locations, cultural attractions, economic indicators, demographic data, and public holidays. Additionally, 'ColombiAPI' includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, malls in Bogota, as well as datasets on indigenous languages, student admissions and school statistics, forest liana mortality, municipal and regional data, connectivity and digital infrastructure, program graduates, vehicle counts, international visitors, [...truncated...]
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Permanent link

Package ChileDataAPI updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-11

Title: Access Chilean Data via APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'FINDIC API', 'World Bank API', and 'Nager.Date', retrieving real-time or historical data related to Chile such as financial indicators, holidays, and more. Additionally, the package includes curated datasets related to Chile, covering topics such as human rights violations during the Pinochet regime, electoral data, census samples, health surveys, seismic events, territorial codes, and environmental measurements. The package supports research and analysis focused on Chile by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'FINDIC' <https://findic.cl/>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'Nager.Date' <https://date.nager.at/Api>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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 ChileDataAPI-0.3.0/ChileDataAPI/R/chiledataapi-package.R                         |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/data-documentation.R                           |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_bitcoin.R                            |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_child_mortality.R                    |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_copper_pound.R                       |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_cpi.R                                |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_dollar.R                             |    4 
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 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_euro.R                               |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_gdp.R                                |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_holidays.R                           |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_hospital_beds.R                      |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_ipsa.R                               |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_life_expectancy.R                    |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_literacy_rate.R                      |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_population.R                         |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_uf.R                                 |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_unemployment.R                       |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_utm.R                                |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/get_chile_yen.R                                |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/utils.R                                        |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/R/view_datasets_ChileDataAPI.R                   |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/README.md                                        |   10 
 ChileDataAPI-0.3.0/ChileDataAPI/build/vignette.rds                               |binary
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 ChileDataAPI-0.3.0/ChileDataAPI/inst/licenses/LICENSE                            |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/inst/licenses/LICENSE.md                         |   34 --
 ChileDataAPI-0.3.0/ChileDataAPI/inst/licenses/LICENSES_DETAILS.md                |    5 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-census_chile_2017_df.R       |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-chile_earthquakes_tbl_df.R   |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-chile_election_2021_df.R     |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-chile_health_survey_df.R     |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-chile_plebiscite_df.R        |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_bitcoin.R          |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_child_mortality.R  |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_copper_pound.R     |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_cpi.R              |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_dollar.R           |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_energy_use.R       |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_euro.R             |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_gdp.R              |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_holidays.R         |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_hospital_beds.R    |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_ipsa.R             |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_life_expectancy.R  |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_literacy_rate.R    |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_population.R       |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_uf.R               |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_unemployment.R     |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_utm.R              |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-get_chile_yen.R              |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-malleco_tree_rings_ts.R      |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-pinochet_regime_df.R         |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-territorial_codes_tbl_df.R   |    4 
 ChileDataAPI-0.3.0/ChileDataAPI/tests/testthat/test-view_datasets_ChileDataAPI.R |    4 
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Package teal.modules.clinical updated to version 0.13.0 with previous version 0.12.0 dated 2025-12-03

Title: 'teal' Modules for Standard Clinical Outputs
Description: Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.
Author: Dony Unardi [aut, cre], Joe Zhu [aut] , Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Mahmoud Hallal [aut], Dawid Kaledkowski [aut], Rosemary Li [aut], Heng Wang [aut], Pawel Rucki [aut], Nikolas Burkof [...truncated...]
Maintainer: Dony Unardi <unardid@gene.com>

Diff between teal.modules.clinical versions 0.12.0 dated 2025-12-03 and 0.13.0 dated 2026-07-02

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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/arm_ref_comp.R                                                 |    3 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_a_gee.R                                                     |   10 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_forest_rsp.R                                              |   11 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_forest_tte.R                                              |   11 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_km.R                                                      |   12 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_pp_adverse_events.R                                       |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_pp_patient_timeline.R                                     |   10 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_g_pp_vitals.R                                               |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_abnormality.R                                             |   64 +-
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_ancova.R                                                  |   10 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_coxreg.R                                                  |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_events.R                                                  |   10 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_events_summary.R                                          |   14 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_exposure.R                                                |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_glm_counts.R                                              |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_logistic.R                                                |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_mult_events.R                                             |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_pp_medical_history.R                                      |   10 
 teal.modules.clinical-0.13.0/teal.modules.clinical/R/tm_t_shift_by_arm.R                                            |   10 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/helper-TealAppDriver.R                            |   19 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/setup-options.R                                   |    2 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_a_gee.R                        |   62 +-
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_g_ci.R                         |   32 -
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_ancova.R                     |   34 -
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_events.R                     |   17 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_events_summary.R             |   17 
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 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_pp_laboratory.R              |  143 +++---
 teal.modules.clinical-0.13.0/teal.modules.clinical/tests/testthat/test-shinytest2-tm_t_pp_medical_history.R         |   30 -
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More information about teal.modules.clinical at CRAN
Permanent link

Package openxlsx2 updated to version 1.28 with previous version 1.27 dated 2026-05-25

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

Diff between openxlsx2 versions 1.27 dated 2026-05-25 and 1.28 dated 2026-07-02

 DESCRIPTION                                  |    8 
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More information about openxlsx2 at CRAN
Permanent link

Package neonUtilities updated to version 4.0.1 with previous version 4.0.0 dated 2026-06-19

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package dcortools updated to version 0.2.0 with previous version 0.1.7 dated 2025-12-09

Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <doi:10.48550/arXiv.1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

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Package tidytree updated to version 0.4.8 with previous version 0.4.7 dated 2026-01-08

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic trees contain components such as nodes, edges, branches, and associated data. As the core data manipulation tool in the 'ggtree' ecosystem, 'tidytree' provides tools for converting tree objects to tidy data frames and tidy interfaces for manipulating, analyzing, and visualizing tree data.
Author: Guangchuang Yu [aut, cre, cph] , Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package teal.slice updated to version 0.8.1 with previous version 0.8.0 dated 2026-06-04

Title: Filter Module for 'teal' Applications
Description: Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.
Author: Dawid Kaledkowski [aut] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Lluis Revilla Sancho [aut] , Dony Unardi [rev, cre], Kartikeya Kirar [aut], Marcin Kosinski [aut], Chendi Liao [aut], Andrew Bates [aut], Mahmoud Halla [...truncated...]
Maintainer: Dony Unardi <unardid@gene.com>

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Package mcptools updated to version 1.0.0 with previous version 0.2.1 dated 2026-03-17

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package ggpp updated to version 0.6.1 with previous version 0.6.0 dated 2026-01-18

Title: Grammar Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots using native data coordinates, while geom_table_npc(), geom_plot_npc() and geom_grob_npc() do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: select observations based on 2D density. Positions: radial nudging away from a center point and nudging away from a line or curve; combined stacking and nudging; combined dodging and nudging.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Michal Krassowski [ctb] , Daniel Sabanes Bove [ctb] , Stella Banjo [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package ggfun updated to version 0.2.1 with previous version 0.2.0 dated 2025-07-15

Title: Miscellaneous Functions for 'ggplot2'
Description: Provides a collection of 'ggplot2' extensions and utilities for creating geometric layers, applying themes, working with legends, and modifying plot objects.
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package FactoMineR updated to version 2.16 with previous version 2.15 dated 2026-06-11

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson [aut, cre] , Julie Josse [aut], Sebastien Le [aut], Jeremy Mazet [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package csdata updated to version 2026.7.2 with previous version 2026.3.30 dated 2026-03-31

Title: Structural Data for Norway
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package Compind updated to version 3.5 with previous version 3.4 dated 2025-05-16

Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide, 2008, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli [aut, cre], Elisa Fusco [aut]
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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Package circumplex updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-24

Title: Analysis and Visualization of Circular Data
Description: Circumplex models, which organize constructs in a circle around two underlying dimensions, are popular for studying interpersonal functioning, mood/affect, and vocational preferences/environments. This package provides tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results.
Author: Jeffrey Girard [aut, cre] , Johannes Zimmermann [aut] , Aidan Wright [aut]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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Package BSL readmission to version 3.2.6 with previous version 3.2.5 dated 2022-11-03

Title: Bayesian Synthetic Likelihood
Description: Bayesian synthetic likelihood (BSL, Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution for the summary statistic likelihood and it is suitable when the distribution of the model summary statistics is sufficiently regular. This package provides a Metropolis Hastings Markov chain Monte Carlo implementation of four methods (BSL, uBSL, semiBSL and BSLmisspec) and two shrinkage estimators (graphical lasso and Warton's estimator). uBSL (Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) uses an unbiased estimator to the normal density. A semi-parametric version of BSL (semiBSL, An et al. (2020) <doi:10.1007/s11222-019-09904-x>) is more robust to non-normal summary statistics. BSLmisspec (Frazier et al. 2021 <doi:10.1080/10618600.2021.1875839>) estimates the Gaussian synthetic likelihood whilst acknowledging that there may be [...truncated...]
Author: Ziwen An [aut] , Leah F. South [aut, cre] , Christopher C. Drovandi [aut]
Maintainer: Leah F. South <l1.south@qut.edu.au>

This is a re-admission after prior archival of version 3.2.5 dated 2022-11-03

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Package BrazilDataAPI updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-15

Title: Access Brazilian Data via APIs and Curated Datasets
Description: Provides functions to access data from the 'BrasilAPI', 'Nager.Date API', and 'World Bank API', related to Brazil's postal codes, banks, holidays, company registrations, and economic development data. Additionally, the package includes curated datasets related to Brazil, covering topics such as demographic data (males and females by state and year), river levels, environmental emission factors, film festivals, and yellow fever outbreak records. The package supports research and analysis focused on Brazil by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'BrasilAPI' <https://brasilapi.com.br/>, 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between BrazilDataAPI versions 0.2.0 dated 2025-09-15 and 0.3.0 dated 2026-07-02

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Package arsenal updated to version 3.7.1 with previous version 3.6.3 dated 2021-06-04

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb], [...truncated...]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

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Package VARcpDetectOnline updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-13

Title: Sequential Change Point Detection for High-Dimensional VAR Models
Description: Implements the algorithm introduced in Tian, Y., and Safikhani, A. (2024) <doi:10.5705/ss.202024.0182>, "Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models". This package provides tools for detecting change points in the transition matrices of VAR models, effectively identifying shifts in temporal and cross-correlations within high-dimensional time series data.
Author: Yuhan Tian [aut, cre], Abolfazl Safikhani [aut]
Maintainer: Yuhan Tian <tyh9293@gmail.com>

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Package uaparserjs updated to version 0.4.0 with previous version 0.3.8 dated 2026-05-09

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

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Package shades updated to version 1.5.0 with previous version 1.4.0 dated 2019-08-02

Title: Simple Colour Manipulation
Description: Functions for easily manipulating colours, creating colour scales and calculating colour distances.
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package scatterD3 updated to version 1.0.2 with previous version 1.0.1 dated 2021-10-06

Title: D3 JavaScript Scatterplot from R
Description: Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.
Author: Julien Barnier [aut, cre], Kent Russell [aut, ctb], Mike Bostock [aut, cph] , Susie Lu [aut, cph] , Speros Kokenes [aut, cph] , Evan Wang [aut, cph]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package RBesT updated to version 1.10-0 with previous version 1.9-0 dated 2026-03-13

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Daniel Sabanes Bove [ctb] , Trustees of Columbia Univers [...truncated...]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package ratesci updated to version 1.1.0 with previous version 1.0.0 dated 2025-06-20

Title: Confidence Intervals and Tests for Comparisons of Binomial Proportions or Poisson Rates
Description: Computes confidence intervals for binomial or Poisson rates and their differences or ratios. Including the rate (or risk) difference ('RD') or rate ratio (or relative risk, 'RR') for binomial proportions or Poisson rates, and odds ratio ('OR', binomial only). Also confidence intervals for RD, RR or OR for paired binomial data, and estimation of a proportion from clustered binomial data. Includes skewness-corrected asymptotic score ('SCAS') methods, which have been developed in Laud (2017) <doi:10.1002/pst.1813> from Miettinen and Nurminen (1985) <doi:10.1002/sim.4780040211> and Gart and Nam (1988) <doi:10.2307/2531848>, and in Laud (2026, under review) for paired proportions. In each case, the same score produces hypothesis tests that are improved versions of the non-inferiority test for binomial RD and RR by Farrington and Manning (1990) <doi:10.1002/sim.4780091208>, or a generalisation of the McNemar test for paired data. The package also includes MOVER metho [...truncated...]
Author: Pete Laud [aut, cre]
Maintainer: Pete Laud <pete@sheffstat.co.uk>

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Package okf updated to version 0.7.0 with previous version 0.5.2 dated 2026-06-30

Title: Open Knowledge Format (OKF) Ingestion
Description: Read, validate, and load Open Knowledge Format (OKF) bundles (a directory of markdown files with YAML frontmatter) into a portable DuckDB catalog, build the concept graph, render to HTML, and optionally embed concept bodies for semantic search. Deterministic and agent-free: the same bundle always yields the same catalog, graph, and render, with no LLM calls in the core. Conformant and permissive per the OKF v0.1 specification.
Author: Travis Jakel [aut, cre]
Maintainer: Travis Jakel <travis.s.jakel@gmail.com>

Diff between okf versions 0.5.2 dated 2026-06-30 and 0.7.0 dated 2026-07-02

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Package admixr2 updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-02

Title: Aggregate Data Modelling
Description: Fit pharmacokinetic/pharmacodynamic (PK/PD) models to aggregate-level data (mean vector and covariance matrix per study) rather than individual-level data. Integrates with the 'nlmixr2'/'rxode2' ecosystem via four estimation methods: a First-Order ('FO') analytical estimator, a Monte Carlo (MC) estimator, a Gauss-Hermite quadrature ('GH') estimator, and an Iterative Reweighting Monte Carlo ('IRMC') estimator. Methods are based on Välitalo (2021) <doi:10.1007/s10928-021-09760-1>; software described in van de Beek et al. (2025) <doi:10.1007/s10928-025-10011-w>.
Author: H. van de Beek [aut, cre], P.A.J. Vaelitalo [aut], L.B. Zwep [aut], J.G.C. van Hasselt [aut]
Maintainer: H. van de Beek <h.van.de.beek@lacdr.leidenuniv.nl>

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Package btw updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-23

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package ggseg3d updated to version 2.1.2 with previous version 2.1.1 dated 2026-04-22

Title: Interactive 3D Brain Atlas Visualization
Description: Plot brain atlases as interactive 3D meshes using 'Three.js' via 'htmlwidgets', or render publication-quality static images through 'rgl' and 'rayshader'. A pipe-friendly API lets you map data onto brain regions, control camera angles, toggle region edges, overlay glass brains, and snapshot or ray-trace the result. Additional atlases are available through the 'ggsegverse' r-universe. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph], three.js authors [ctb, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package SCEM readmission to version 1.2.0 with previous version 1.1.0 dated 2021-09-02

Title: Splitting-Coalescence-Estimation Method
Description: We introduce improved methods for statistically assessing birth seasonality and intra-annual variation. The first method we propose is a new idea that uses a nonparametric clustering procedure to group individuals with similar time series data and estimate birth seasonality based on the clusters. One can use the function SCEM() to implement this method. The second method estimates input parameters for use with a previously-developed parametric approach (Tornero et al., 2013). The relevant code for this approach is makeFits_OLS(), while makeFits_initial() is the code to implement the same method but with given initial conditions for two parameters. The latter can be used to show the disadvantage of the existing approach. One can use the function makeFits() to generate parametric birth seasonality estimates using either initialization. Detailed description can be found here: Chazin Hannah, Soudeep Deb, Joshua Falk, and Arun Srinivasan (2019) <doi:10.1111/arcm.12432> "New Statistica [...truncated...]
Author: Hannah Chazin [aut, cre], Soudeep Deb [aut], Joshua Falk [aut], Arun Srinivasan [aut], Kyung Serk Cho [aut]
Maintainer: Hannah Chazin <h.chazin@columbia.edu>

This is a re-admission after prior archival of version 1.1.0 dated 2021-09-02

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Package metaboData updated to version 0.6.4 with previous version 0.6.3 dated 2022-02-15

Title: Example Metabolomics Data Sets
Description: Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometry based metabolomic analytical techniques. The example data sets are stored remotely using GitHub releases <https://github.com/aberHRML/metaboData/releases> which can be accessed from R using the package. The package also includes the 'abr1' FIE-MS data set from the 'FIEmspro' package <https://github.com/aberHRML/FIEmspro> <doi:10.1038/nprot.2007.511>.
Author: Jasen Finch [aut, cre] , Manfred Beckmann [ctb], David Enot [ctb], Wanchang Lin [ctb]
Maintainer: Jasen Finch <jsnfnch4@gmail.com>

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Package EconGeo updated to version 2.1 with previous version 2.0 dated 2023-06-26

Title: Computing Key Indicators of the Spatial Distribution of Economic Activities
Description: Computes a series of indices commonly used in the fields of economic geography, economic complexity, and evolutionary economics to describe the location, distribution, spatial organization, structure, and complexity of economic activities. Functions include basic spatial indicators such as the location quotient, the Krugman specialization index, the Herfindahl or the Shannon entropy indices but also more advanced functions to compute different forms of normalized relatedness between economic activities or network-based measures of economic complexity. Most of the functions use matrix calculus and are based on bipartite (incidence) matrices consisting of region - industry pairs. These are described in Balland (2017) <http://econ.geo.uu.nl/peeg/peeg1709.pdf>.
Author: Pierre-Alexandre Balland [aut, cre, cph]
Maintainer: Pierre-Alexandre Balland <pierre.alex.balland@gmail.com>

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Package tidyfinance updated to version 0.8.0 with previous version 0.7.0 dated 2026-06-25

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/index.html>.
Author: Christoph Scheuch [aut, cre, cph] , Stefan Voigt [aut, cph] , Patrick Weiss [aut, cph] , Maximilian Muecke [ctb]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Package ggRandomForests updated to version 3.4.0 with previous version 3.2.0 dated 2026-06-23

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Package harmonydata updated to version 0.3.2 with previous version 0.3.1 dated 2025-04-20

Title: R Library for 'Harmony'
Description: 'Harmony' is a tool using AI which allows you to compare items from questionnaires and identify similar content. You can try 'Harmony' at <https://harmonydata.ac.uk/app/> and you can read our blog at <https://harmonydata.ac.uk/blog/> or at <https://fastdatascience.com/how-does-harmony-work/>. Documentation at <https://harmonydata.ac.uk/harmony-r-released/>.
Author: Omar Hassoun [aut, cre], Thomas Wood [ctb], Alex, Nikic [ctb], Ulster University [cph]
Maintainer: Omar Hassoun <omtarful@gmail.com>

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Package covercorr updated to version 1.1.0 with previous version 1.0.0 dated 2025-08-25

Title: Coverage Correlation Coefficient and Testing for Independence
Description: Computes the coverage correlation coefficient introduced in <doi:10.48550/arXiv.2508.06402> , a statistical measure that quantifies dependence between two random vectors by computing the union volume of data-centered hypercubes in a uniform space.
Author: Tengyao Wang [aut, cre], Mona Azadkia [aut, ctb], Xuzhi Yang [aut, ctb]
Maintainer: Tengyao Wang <t.wang59@lse.ac.uk>

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Package mlr3fda updated to version 0.7.0 with previous version 0.6.0 dated 2026-06-01

Title: Extending 'mlr3' to Functional Data Analysis
Description: Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'.
Author: Maximilian Muecke [aut, cre] , Sebastian Fischer [aut] , Fabian Scheipl [ctb] , Bernd Bischl [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package clinicalomicsdbR updated to version 1.0.6 with previous version 1.0.5 dated 2024-06-26

Title: Interface with the 'ClinicalOmicsDB' API, Allowing for Easy Data Downloading and Importing
Description: Provides an interface to the 'ClinicalOmicsDB' API, allowing for easy data downloading and importing. 'ClinicalOmicsDB' is a database of clinical and 'omics' data from cancer patients. The database is accessible at <http://trials.linkedomics.org>.
Author: John Elizarraras [aut, ctb], Zhiao Shi [cre]
Maintainer: Zhiao Shi <zhiao.shi@gmail.com>

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Package BKP updated to version 0.3.0 with previous version 0.2.3 dated 2025-09-22

Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of covariate-dependent binomial probabilities, and the Dirichlet Kernel Process (DKP) for categorical or multinomial response data. Scalable global-local approximations are provided through TwinBKP and TwinDKP, using twinning-selected global subsets and local nearest-neighbour updates. Functions are included for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one- and two-dimensional input spaces. Gaussian, Matern 5/2, Matern 3/2, and Wendland kernels are supported, with hyperparameters selected by multi-start derivative-free optimization. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>

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Package serpstatr updated to version 0.4.3 with previous version 0.4.2 dated 2026-06-09

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://api-docs.serpstat.com/docs/serpstat-public-api/jenasqbwtxdlr-introduction-to-serpstat-api> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package pdi updated to version 0.4.3 with previous version 0.4.2 dated 2021-02-09

Title: Phenotypic Index Measures for Oak Decline Severity
Description: Oak declines are complex disease syndromes and consist of many visual indicators that include aspects of tree size, crown condition and trunk condition. This can cause difficulty in the manual classification of symptomatic and non-symptomatic trees from what is in reality a broad spectrum of oak tree health condition. Two phenotypic oak decline indexes have been developed to quantitatively describe and differentiate oak decline syndromes in Quercus robur. This package provides a toolkit to generate these decline indexes from phenotypic descriptors using the machine learning algorithm random forest. The methodology for generating these indexes is outlined in Finch et al. (2021) <doi:10.1016/j.foreco.2021.118948>.
Author: Jasen Finch [aut, cre]
Maintainer: Jasen Finch <jsnfnch4@gmail.com>

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Package okcolors updated to version 0.1.2 with previous version 0.1.0 dated 2025-05-14

Title: A Set of Color Palettes Inspired by OK Go Music Videos for 'ggplot2' in R
Description: A collection of aesthetically appealing color palettes for effective data visualization with 'ggplot2'. Palettes support both discrete and continuous data.
Author: Nelson de O. Quesado Filho [aut, cre], Ana Flavia Teles Silveira [aut]
Maintainer: Nelson de O. Quesado Filho <nquesado@gmail.com>

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Package netmhc2pan updated to version 1.3.3 with previous version 1.3.2 dated 2023-11-08

Title: Interface to 'NetMHCIIpan'
Description: The field of immunology benefits from software that can predict which peptide sequences trigger an immune response. 'NetMHCIIpan' is a such a tool: it predicts the binding strength of a short peptide to a Major Histocompatibility Complex class II (MHC-II) molecule. 'NetMHCIIpan' can be used from a web server at <https://services.healthtech.dtu.dk/services/NetMHCIIpan-3.2/> or from the command-line, using a local installation. This package allows to call 'NetMHCIIpan' from R.
Author: Richel J.C. Bilderbeek [aut, cre] , Lue Ping Zhao [ctb], Byungkuk Min [ctb]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>

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Package metamer updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-23

Title: Create Data with Identical Statistics
Description: Creates data with identical statistics (metamers) using an iterative algorithm proposed by Matejka & Fitzmaurice (2017) <DOI:10.1145/3025453.3025912>.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package ggseg.formats updated to version 0.0.4 with previous version 0.0.3 dated 2026-06-18

Title: Brain Atlas Data Structures for the 'ggsegverse' Ecosystem
Description: Provides the 'ggseg_atlas' S3 class used across the 'ggsegverse' ecosystem for 2D and 3D brain visualisation. Ships four bundled atlases ('Desikan-Killiany', 'FreeSurfer' 'aseg', 'TRACULA', 'SUIT') and functions for querying, subsetting, renaming, and enriching atlas objects. Also includes readers for 'FreeSurfer' statistics files.
Author: Athanasia Mo Mowinckel [aut, cre] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package ggperiodic updated to version 1.0.4 with previous version 1.0.3 dated 2023-03-22

Title: Easy Plotting of Periodic Data with 'ggplot2'
Description: Implements methods to plot periodic data in any arbitrary range on the fly.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package bedrockbio updated to version 2.0.0 with previous version 1.4.0 dated 2026-05-28

Title: Open-Access Computational Biology Datasets
Description: Efficiently access the 'Bedrock Bio' library of open-access computational biology datasets. Lazily query datasets backed by 'DuckDB' and 'Apache Iceberg', with support for predicate pushdown and column projection to the cloud storage backend. This enables quick, iterative access to otherwise massive, unwieldy datasets without downloading them in full. See <https://bedrock.bio> for available datasets and documentation.
Author: Liam Abbott [aut, cre, cph]
Maintainer: Liam Abbott <liam@bedrock.bio>

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Package muiMaterial updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-28

Title: 'Material UI' for 'shiny' Apps and 'Quarto'
Description: Wraps the 'Material UI' React components <https://mui.com/> for use in R, 'shiny' applications and 'quarto' documents, including inputs, layouts, navigation, and surfaces. All inputs come with R usage examples.
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] , Emotion team [cph] , Meta Platforms, Inc. and affiliates [cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package maestro updated to version 1.2.0 with previous version 1.1.1 dated 2026-05-20

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package finbif updated to version 0.10.0 with previous version 0.9.14 dated 2026-04-17

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph] , Finnish Biodiversity Information Facility [cph] , William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

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Package faunabr updated to version 1.1.0 with previous version 1.0.1 dated 2026-04-19

Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <https://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>

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Package duckspatial updated to version 1.2.0 with previous version 1.1.2 dated 2026-06-22

Title: R Interface to 'DuckDB' Database with Spatial Extension
Description: Fast and memory-efficient functions to analyze and manipulate large spatial datasets. It leverages the fast analytical capabilities of ‘DuckDB’ and its spatial extension (see <https://duckdb.org/docs/stable/core_extensions/spatial/overview>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

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Package brulee updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-17

Title: High-Level Modeling Functions with 'torch'
Description: Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.
Author: Max Kuhn [aut, cre] , Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package cppally updated to version 1.0.0 with previous version 0.1.0 dated 2026-04-28

Title: A 'C++20' API for R
Description: A header-only 'C++20' API for manipulating R data structures from 'C++'. Provides 'C++20' concepts specific to R, custom scalar and vector classes with built-in NA handling, automatic object protection, 'SIMD' (single-instruction-multiple-data), parallelisation, and a streamlined system for registering 'C++' functions, including templates, to R. Full API reference and documentation are available at <https://nicchr.github.io/cppally/>.
Author: Nick Christofides [aut, cre, cph] , Martin Leitner-Ankerl [cph] , Malte Skarupke [cph] , Posit Software, PBC [cph]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package wideRhino updated to version 1.2.0 with previous version 1.0.2 dated 2025-06-11

Title: High-Dimensional Methods via Generalised Singular Decomposition
Description: Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on these biplots, see Ganey, R., & Gardner-Lubbe, S. (2026) <doi:10.1007/s10260-025-00831-y>.
Author: Raeesa Ganey [aut, cre]
Maintainer: Raeesa Ganey <Raeesa.ganey@wits.ac.za>

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Package robmixglm updated to version 1.2-8 with previous version 1.2-5 dated 2025-10-31

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.id.au>

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Package powerbrmsINLA updated to version 1.3.0 with previous version 1.2.0 dated 2026-06-02

Title: Bayesian Power Analysis Using 'brms' and 'INLA'
Description: Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".
Author: Tony Myers [aut, cre]
Maintainer: Tony Myers <admyers@aol.com>

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Package OBIC updated to version 4.3.0 with previous version 4.2.3 dated 2026-02-11

Title: Calculate the Open Bodem Index (OBI) Score
Description: The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.
Author: Sven Verweij [aut, cre] , Gerard Ros [aut] , Yuki Fujita [aut] , Wilbrand Hendrik Riechelman [aut] , Kees van den Dool [aut] , Job de Pater [ctb], Nutrienten Managment Instituut [cph]
Maintainer: Sven Verweij <sven.verweij@nmi-agro.nl>

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Package spdesign updated to version 0.0.6 with previous version 0.0.5 dated 2024-10-18

Title: Designing Stated Preference Experiments
Description: Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163). The package features in Mariel et al. (2025) Environmental Valuation with Discrete Choice Experiments in R. (<doi:10.1007/978-3-031-89338-4>).
Author: Erlend Dancke Sandorf [aut, cre], Danny Campbell [aut]
Maintainer: Erlend Dancke Sandorf <erlend.dancke.sandorf@nmbu.no>

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Package SPARTAAS updated to version 1.2.6 with previous version 1.2.5 dated 2026-03-26

Title: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro()/perioclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4). mapclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph(): Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat(): Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.
Author: Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]
Maintainer: Arthur Coulon <arthur-coulon@outlook.fr>

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Package resmush updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-29

Title: Optimize and Compress Image Files with 'reSmush.it'
Description: Optimize and compress local and online image files with the 'reSmush.it' 'API' <https://resmush.it/api/>. Process individual files or entire directories. The 'API' is free for personal use, accepts files smaller than 5 'MB' and supports 'PNG', 'JPEG', 'GIF', 'BMP' and 'TIFF' files.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package MAIHDA updated to version 0.2.0 with previous version 0.1.11 dated 2026-06-18

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Tools for Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for intersectional inequality research. Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. The package creates intersectional strata, fits multilevel MAIHDA models, estimates variance partition coefficients, proportional change in variance, stratum effects, and discriminatory-accuracy summaries, and provides diagnostic and presentation plots.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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Package treeSS updated to version 0.2.4 with previous version 0.1.50 dated 2026-05-29

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut] , Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

Diff between treeSS versions 0.1.50 dated 2026-05-29 and 0.2.4 dated 2026-07-02

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More information about treeSS at CRAN
Permanent link

Package TemporalModelR updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-30

Title: Temporally Explicit Species Distribution Modelling
Description: Increases the ease of implementing a temporally-explicit modeling methodology when building ecological niche and species distribution models. Provides functions to assist with three major steps of temporally-explicit models: (i) preprocessing species and environmental data and generating suitable background or pseudoabsence data, (ii) building a niche model and generating temporally-explicit predictions from that model, and (iii) model postprocessing to explore spatiotemporal trends in model predictions. Methodological and theoretical foundations are described in Ingenloff and Peterson (2021) <doi:10.1111/2041-210X.13564>, Franklin (2010, ISBN:9780521700023), Peterson et al. (2011, ISBN:9780691136882), Blonder (2018) <doi:10.1111/ecog.03187>, Senay et al. (2013) <doi:10.1371/journal.pone.0071218>, and Li and Zhang (2024) <doi:10.48550/arXiv.2404.05933>.
Author: Connor Hughes [aut, cre] , Mariana Castaneda-Guzman [aut] , Luis E. Escobar [aut]
Maintainer: Connor Hughes <connorhughes926@gmail.com>

Diff between TemporalModelR versions 0.2.0 dated 2026-06-30 and 0.3.0 dated 2026-07-02

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Package statease updated to version 1.3.0 with previous version 1.2.1 dated 2026-06-07

Title: Simplified Statistical Analysis with Plain-English Interpretation
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-tests (one-sample, independent, and paired), one-way and two-way Analysis of Variance (ANOVA), Multivariate Analysis of Variance (MANOVA), chi-square tests, Fisher's Exact Test, McNemar's Test, correlation analysis, simple and multiple linear regression, logistic regression, Friedman Test, and non-parametric tests (Mann-Whitney U, Wilcoxon Signed Rank, and Kruskal-Wallis). Additional tools include statistical power analysis and automated assumption checking. Each function automatically interprets results in plain English, reporting effect sizes, confidence intervals, and p-value interpretations. Post-hoc tests are automatically applied following significant results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based on Cohen, J. (1988) <doi:10.4324/9780203771587>, Tukey, J. W. (1949) <doi:10.2307/3001913>, and Shapiro [...truncated...]
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

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Package pdfsigner updated to version 0.2.5 with previous version 0.2.4 dated 2026-06-26

Title: Digitally Sign and Verify PDF Documents
Description: Digitally sign PDF documents with a 'PKCS#12' keystore and verify their signatures. Signing produces a detached 'PKCS#7' / 'CMS' signature ('adbe.pkcs7.detached') over the document and is applied as an incremental update, so existing signatures remain valid. The cryptography and PDF manipulation are performed by a bundled, pure-'Rust' backend (the 'pdf_signer' crate); no Java runtime, 'OpenSSL', or external command-line tools are required. Visible signature appearances with custom text are supported.
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut], Authors of the vendored Rust crates [ctb, cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package mathml readmission to version 1.9 with previous version 1.8 dated 2026-05-22

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 1.8 dated 2026-05-22

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Package madrat updated to version 3.37.1 with previous version 3.15.6 dated 2024-12-19

Title: May All Data be Reproducible and Transparent (MADRaT) *
Description: Provides a framework which should improve reproducibility and transparency in data processing. It provides functionality such as automatic meta data creation and management, rudimentary quality management, data caching, work-flow management and data aggregation. * The title is a wish not a promise. By no means we expect this package to deliver everything what is needed to achieve full reproducibility and transparency, but we believe that it supports efforts in this direction.
Author: Jan Philipp Dietrich [aut, cre] , Pascal Sauer [aut] , Lavinia Baumstark [aut] , Stephen Wirth [aut] , Anastasis Giannousakis [aut], Renato Rodrigues [aut] , Benjamin Leon Bodirsky [aut] , Debbora Leip [aut] , Michael Crawford [aut] , Ulrich Kreidenw [...truncated...]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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More information about madrat at CRAN
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Package llamaR updated to version 0.2.5 with previous version 0.2.4 dated 2026-05-27

Title: Interface for Large Language Models via 'llama.cpp'
Description: Provides R bindings to 'llama.cpp' for running large language models locally, with optional GPU acceleration via 'ggmlR'. Supports text generation, embeddings, chat-based workflows, tool calling, and multimodal (vision) inference. Includes 'OpenAI'- and 'Anthropic'-compatible HTTP servers for serving local models, along with device selection and multi-GPU support.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between llamaR versions 0.2.4 dated 2026-05-27 and 0.2.5 dated 2026-07-02

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Package landmaRk updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-26

Title: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Description: Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
Author: Victor Velasco-Pardo [aut, cre] , Nathan Constantine-Cooke [aut] , Charlie Lees [aut] , Catalina Vallejos [aut]
Maintainer: Victor Velasco-Pardo <vvelasco@ed.ac.uk>

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

Title: Asymmetric Smoothed-Association Matrices via GAM Fits
Description: Render a pairwise, asymmetric smoothed-association matrix of continuous variables. Each cell shows the fitted spline from an 'mgcv' generalised additive model, with the upper triangle displaying 'gam(x_j ~ s(x_i))' and the lower triangle 'gam(x_i ~ s(x_j))'. Unlike Pearson's correlation matrix, the visualisation is intentionally asymmetric, revealing heteroscedasticity, leverage, and directional non-linearity that a single scalar correlation hides. An asymmetry index and a 24-category shape taxonomy quantify the directional difference and qualitative form of each fitted smooth.
Author: Max Moldovan [aut, cre, cph]
Maintainer: Max Moldovan <max.moldovan@adelaide.edu.au>

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Package grmtree updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-14

Title: Recursive Partitioning for Graded Response Models
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). The package also implements the Longitudinal GRMTree for detecting response shift in PROMs measured at two time points, embedding a constrained two-factor longitudinal GRM within recursive partitioning, with post-hoc characterization of recalibration and reprioritization. For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz et al. (2018) <doi:10.1177/0013164416664394> and Arimoro et al. (2025) <doi:10.1007/s11136-025-04018-6>.
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>

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Package gatoRs updated to version 2.0.0 with previous version 1.0.2 dated 2024-05-17

Title: Geographic and Taxonomic Occurrence R-Based Scrubbing
Description: Streamlines downloading and cleaning biodiversity data from Integrated Digitized Biocollections (iDigBio) and the Global Biodiversity Information Facility (GBIF).
Author: Natalie N. Patten [aut] , Michelle L. Gaynor [aut, cre] , Douglas E. Soltis [ctb] , Pamela S. Soltis [ctb]
Maintainer: Michelle L. Gaynor <shellyleegaynor@gmail.com>

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Package basifoR updated to version 0.7.8 with previous version 0.7.7 dated 2026-04-09

Title: Retrieval and Processing of the Spanish National Forest Inventory
Description: Fetches, harmonizes, and analyses data from the Spanish National Forest Inventory for reproducible, design-aware forest inventory workflows. Computes tree- and stand-level metrics, applies sampling-based expansion factors, estimates volume, and supports extensible processing for external inventory designs with custom sampling schemes and volume equations. Spatial extensions can attach plot geometries, preserve geometry sidecars through metric workflows, and return georeferenced sf outputs for mapping and remote-sensing integration.
Author: Wilson Lara [aut, cre] , Cristobal Ordonez [aut] , Aitor Vazquez-Veloso [aut] , Felipe Bravo [aut]
Maintainer: Wilson Lara <wilarhen@gmail.com>

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Package survkl updated to version 1.0.2 with previous version 1.0.0 dated 2026-04-21

Title: Estimate Survival Data with Data Integration
Description: Provides flexible and efficient tools for integrating external risk scores into Cox proportional hazards models while accounting for population heterogeneity. Enables robust estimation, improved predictive accuracy, and user-friendly workflows for modern survival analysis. For more information, see Wang et al. (2023) <doi:10.48550/arXiv.2302.11123>.
Author: Yubo Shao [aut, cre], Lingfeng Luo [aut], Xiaohan Liu [aut], Junyi Qiu [aut], Di Wang [aut], Kevin He [aut]
Maintainer: Yubo Shao <ybshao@umich.edu>

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Package RobinCar2 updated to version 0.2.3 with previous version 0.2.2 dated 2026-01-09

Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Daniel Sabanes Bove [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>

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Package kindling updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-03

Title: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Description: Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, workflows, recipes, and tuning tools.
Author: Joshua Marie [aut, cre], Antoine Soetewey [aut]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>

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Package DSIR updated to version 0.8.0 with previous version 0.7.1 dated 2026-05-23

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, an average annual rate of reduction function for indicator progress tracking, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

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Package ChinAPIs updated to version 0.2.0 with previous version 0.1.1 dated 2026-02-12

Title: Access Chinese Data via Public APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date' and 'World Bank API', retrieving real-time or historical data related to China, such as holidays and economic indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on China and Hong Kong, covering topics such as air quality, demographics, input-output tables, epidemiology, political structure, names, and social indicators. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package SVEMnet updated to version 3.2.3 with previous version 3.2.1 dated 2026-06-02

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). The package and its workflows are described in Karl (2026) <doi:10.1016/j.chemolab.2026.105660>. Package code was drafted with assistance from generative [...truncated...]
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package Rdrw updated to version 1.0.3 with previous version 1.0.2 dated 2020-09-08

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently for maximum likelihood estimation and Bayesian posterior sampling. Users should preserve sufficient numerical precision when loading astronomical observation times; see the manual for details. Also see Hu and Tak (2020) <doi:10.48550/arXiv.2005.08049>.
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

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Package DegreeDayCalc updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-17

Title: Degree-Day Phenology Calculator ('shiny' Application)
Description: Provides a 'shiny' application to compute daily and cumulative degree-days from minimum and maximum temperatures using average, single triangle, and single sine methods, with optional upper temperature thresholds. The application maps cumulative thermal accumulation to user-defined developmental stage thresholds and supports exporting tabular and graphical outputs. The degree-day approach follows assumptions described by Higley et al. (1986) <doi:10.1093/ee/15.5.999>.
Author: Victor Manuel Almaraz Valle [aut, cre] , J. Concepcion Rodriguez Maciel [aut], Gustavo Ramirez Valverde [aut], Jaime Alfredo Urzua Gutierrez [aut], Manuel Alejandro Tejeda Reyes [aut]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>

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Package strollur updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-24

Title: Store and Transfer Amplicon Sequence Data
Description: Stores the data associated with your amplicon sequence analysis. This includes nucleotide sequences, abundance, sample and treatment assignments, taxonomic classifications, asv, otu and phylotype clusters, metadata, trees and various reports. It is designed to facilitate data analysis across multiple R packages with utility functions to read / write from 'mothur', 'qiime2', 'dada2', and 'phyloseq'.
Author: Sarah Westcott [aut] , Gregory Johnson [aut] , Pat Schloss [cph, cre]
Maintainer: Pat Schloss <pschloss@umich.edu>

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Package LifeTableFertility updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-17

Title: 'shiny' Application for Life Table and Fertility Analysis
Description: Provides a 'shiny' application to construct age-specific life tables and fertility schedules from individual female daily egg records. The application computes age-specific survival and fertility functions and estimates key demographic parameters including the net reproductive rate, mean generation time, intrinsic rate of increase, finite rate of increase and doubling time. Optional confidence intervals can be obtained using percentile bootstrap or delete-1 jackknife resampling at the female level. Methods and definitions follow Stevens (2009) <doi:10.1007/978-0-387-89882-7> and Rossini et al. (2024) <doi:10.1371/journal.pone.0299598>.
Author: Victor Manuel Almaraz Valle [aut, cre]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>

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Package LifeTableBuilder updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-20

Title: Interactive 'shiny' Application for Constructing Life Tables
Description: Provides an interactive 'shiny' application to construct stage-structured life tables from tabular input data. The application includes input validation, demographic calculations, visualization tools, and export of tables and figures to support reproducible workflows in ecological and entomological studies. Methods for life table construction follow classical demographic approaches described in Martinez (2015) <doi:10.13140/RG.2.2.21333.65760>.
Author: Victor Manuel Almaraz Valle [aut, cre], J. Concepcion Rodriguez Maciel [aut], Gustavo Ramirez Valverde [aut], Carlos Eduardo Aguilar Castillo [aut], Alejandro Perez Panduro [aut]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>

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Package FoRDM updated to version 1.0.3 with previous version 1.0.2 dated 2026-04-07

Title: Forest Many-Objective Robust Decision Making ('FoRDM')
Description: Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
Author: Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Maintainer: Marc Djahangard <marc.djahangard@ife.uni-freiburg.de>

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Wed, 01 Jul 2026

Package serad updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-17

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

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Package phoenics updated to version 0.6.1 with previous version 0.6 dated 2025-08-19

Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method, described in Guilmineau et al (2025) <doi:10.1186/s12859-025-06118-z> is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Author: Camille Guilmineau [aut], Remi Servien [aut, cre] , Nathalie Vialaneix [aut]
Maintainer: Remi Servien <remi.servien@inrae.fr>

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Package normalize updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-10

Title: Centering and Scaling of Numeric Data
Description: Provides simple methods for centering and scaling of numeric data. Columns or rows can be ignored when normalizing or be normalized jointly.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package movegroup updated to version 2026.07.01 with previous version 2024.03.05 dated 2024-03-07

Title: Visualizing and Quantifying Space Use Data for Groups of Animals
Description: Offers an easy and automated way to scale up individual-level space use analysis to that of groups. Contains functions from the 'move' package to calculate either a dynamic Brownian bridge movement model or dynamic Bivariate Gaussian bridges from movement data for individual animals, as well as functions to visualize and quantify space use for individuals aggregated in groups. Originally written with passive acoustic telemetry in mind, this package also provides functionality to account for unbalanced acoustic receiver array designs, and satellite tag data.
Author: Simon Dedman [aut, cre] , Maurits van Zinnicq Bergmann [aut] , Vital Heim [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>

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Package MexicoDataAPI updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-13

Title: Access Mexican Data via APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'World Bank API', and 'Nager.Date API', covering Mexico's economic indicators, population statistics, literacy rates, and official public holidays. The package also includes curated datasets related to Mexico such as air quality monitoring stations, pollution zones, income surveys, postal abbreviations, election studies, forest productivity and demographic data by state. It supports research and analysis focused on Mexico by integrating reliable global APIs with structured national datasets drawn from open and academic sources. For more information on the APIs, see: 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'Nager.Date API' <https://date.nager.at/Api>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package asympDiag updated to version 0.3.3 with previous version 0.3.2 dated 2026-02-15

Title: Diagnostic Tools for Asymptotic Theory
Description: Leveraging Monte Carlo simulations, this package provides tools for diagnosing regression models. It implements a parametric bootstrap framework to compute statistics, generates diagnostic envelopes to assess goodness-of-fit, and evaluates type I error control for Wald tests. By simulating data under the assumption that the model is true, it helps to identify model mis-specifications and enhances the reliability of the model inferences.
Author: Alvaro Kothe [aut, cre, cph] , Alexandre Patriota [aut]
Maintainer: Alvaro Kothe <kothe65@gmail.com>

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Package artoo updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-24

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

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Package AIscreenR updated to version 0.4.0 with previous version 0.3.2 dated 2026-04-20

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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More information about AIscreenR at CRAN
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Package a5R updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-14

Title: 'A5' Discrete Global Grid System
Description: Bindings for the "A5 geospatial index" <https://a5geo.org/>. 'A5' partitions the Earth's surface into pentagonal cells across 31 resolution levels using an equal-area projection onto a dodecahedron. Provides functions for indexing coordinates to cells, traversing the cell hierarchy, computing cell boundaries, and compacting/uncompacting cell sets. Powered by the 'A5' 'Rust' crate via 'extendr'.
Author: Hugh Graham [aut, cre], belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>

Diff between a5R versions 0.4.0 dated 2026-05-14 and 0.5.0 dated 2026-07-01

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 a5R-0.5.0/a5R/R/regions.R                    |   42 ---
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 a5R-0.5.0/a5R/src/rust/src/distance.rs       |   61 ++++
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 a5R-0.5.0/a5R/src/rust/src/regions.rs        |   84 ++++--
 a5R-0.5.0/a5R/src/rust/vendor.tar.xz         |binary
 a5R-0.5.0/a5R/tests/testthat/test-distance.R |   81 ++++++
 18 files changed, 249 insertions(+), 465 deletions(-)

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Package srlars updated to version 3.0.1 with previous version 3.0.0 dated 2026-06-12

Title: Fast and Scalable Cellwise-Robust Ensemble
Description: Functions to perform robust variable selection and regression using the Fast and Scalable Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) engine proposes candidate variables and cross-validation arbitrates their assignment. A final robust MM-estimator is applied to the selected predictors.
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

Diff between srlars versions 3.0.0 dated 2026-06-12 and 3.0.1 dated 2026-07-01

 DESCRIPTION   |    8 ++++----
 MD5           |    8 ++++----
 NEWS.md       |    5 ++++-
 R/srlars.R    |    6 +++---
 man/srlars.Rd |    6 +++---
 5 files changed, 18 insertions(+), 15 deletions(-)

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Package Rlabkey updated to version 3.5.0 with previous version 3.4.6 dated 2026-02-21

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.4.6 dated 2026-02-21 and 3.5.0 dated 2026-07-01

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 36 files changed, 121 insertions(+), 78 deletions(-)

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Package nanonext updated to version 1.10.0 with previous version 1.9.1 dated 2026-06-01

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between nanonext versions 1.9.1 dated 2026-06-01 and 1.10.0 dated 2026-07-01

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Package ife updated to version 0.2.5 with previous version 0.2.3 dated 2026-02-07

Title: Autodiff for Influence Function Based Estimates
Description: Implements an S7 class for estimates based on influence functions, with forward mode automatic differentiation defined for standard arithmetic operations.
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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Package OUwie updated to version 3.0.2 with previous version 2.10 dated 2022-06-15

Title: Analysis of Evolutionary Rates in an OU Framework
Description: Estimates rates for continuous character evolution under Brownian motion and Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al. (2012).
Author: Jeremy M. Beaulieu [aut, cre], Brian O'Meara [aut]
Maintainer: Jeremy M. Beaulieu <jmbeauli@uark.edu>

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Package MCseqReplic updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-29

Title: Monte Carlo Simulations of Time Changes in Sequences
Description: Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
Author: Gilbert Ritschard [aut, cre, cph] , Tim F. Liao [ctb]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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Package releaser updated to version 1.2.0 with previous version 1.1.1 dated 2026-06-08

Title: Help with Preparing a New Version of an R Package
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package peopleanalyticsdata updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-13

Title: Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
Description: Data sets for statistical inference modeling related to People Analytics. Contains various data sets from the book 'Handbook of Regression Modeling in People Analytics' by Keith McNulty (2026).
Author: Keith McNulty [aut, cre]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package mlt updated to version 1.8-1 with previous version 1.8-0 dated 2026-04-14

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package ArchaeoPhases updated to version 2.1.1 with previous version 2.1.0 dated 2025-09-26

Title: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling
Description: Statistical analysis of archaeological dates and groups of dates. This package allows to post-process Markov Chain Monte Carlo (MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>, 'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal' <https://bcal.shef.ac.uk/>. It provides functions for the study of rhythms of the long term from the posterior distribution of a series of dates (tempo and activity plot). It also allows the estimation and visualization of time ranges from the posterior distribution of groups of dates (e.g. duration, transition and hiatus between successive phases) as described in Philippe and Vibet (2020) <doi:10.18637/jss.v093.c01>.
Author: Anne Philippe [aut, cre] , Marie-Anne Vibet [aut] , Nicolas Frerebeau [aut] , Thomas S. Dye [ctb] , Nantes Universite [fnd] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

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Package pharmaversesdtm updated to version 1.5.0 with previous version 1.4.1 dated 2026-03-30

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Lina Patil [aut, cre], Stefan Bundfuss [aut] , Kristin Dahnert [aut], Fanny Gautier [aut] , Edoardo Mancini [aut] , Tomoyuki Namai [aut], Vinh Nguyen [aut], Kiran Peddamudium [aut], Gerardo Jose Rodriguez [aut] , Vladyslav Shuliar [aut] , Cytel Inc. [...truncated...]
Maintainer: Lina Patil <lina.patil@cytel.com>

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Package orthanc updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-11

Title: Programmatic Interface to 'Orthanc' DICOM Servers
Description: An R Interface to 'Orthanc' DICOM servers for medical imaging workflows. 'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive REST API for managing, querying, retrieving, and modifying DICOM resources (<https://www.orthanc-server.com>). The goal of this package is to provide comprehensive and user-friendly access to the 'Orthanc' REST API, designed to align with idiomatic R workflows while preserving the structure and semantics of DICOM resources.
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>

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Package OpenLand readmission to version 1.0.4 with previous version 1.0.3 dated 2024-05-03

Title: Quantitative Analysis and Visualization of LUCC
Description: Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.
Author: Reginal Exavier [aut, cre] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2024-05-03

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Permanent link

Package rtemis updated to version 1.2.7 with previous version 1.0.0 dated 2026-03-26

Title: Machine Learning and Visualization
Description: Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

Diff between rtemis versions 1.0.0 dated 2026-03-26 and 1.2.7 dated 2026-07-01

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More information about rtemis at CRAN
Permanent link

Package pathfindR updated to version 3.0.2 with previous version 3.0.1 dated 2026-06-29

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between pathfindR versions 3.0.1 dated 2026-06-29 and 3.0.2 dated 2026-07-01

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More information about pathfindR at CRAN
Permanent link

Package multiScaleR updated to version 0.7.0 with previous version 0.6.13 dated 2026-04-18

Title: Methods for Optimizing Scales of Effect
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2026) <doi:10.1007/s10980-025-02267-x>.
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>

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Package gson updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-06

Title: Base Class and Methods for 'gson' Format
Description: Provides a lightweight container and exchange format for gene set collections. It stores gene set membership, names, gene identifiers, species, versions, and source metadata, with utilities for reading, writing, validating, and converting gene set data for enrichment analysis and related workflows.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between gson versions 0.1.0 dated 2023-03-06 and 0.2.0 dated 2026-07-01

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Package fastkqr updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-13

Title: A Fast Algorithm for Kernel Quantile Regression
Description: Implements fast algorithms for kernel quantile regression and related models, including non-crossing kernel quantile regression and regularized linear quantile regression. The methods are described in Tang, Gu and Wang (2026) <doi:10.1080/10618600.2025.2541004>.
Author: Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut]
Maintainer: Qian Tang <qian-tang@uiowa.edu>

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Package enrichit updated to version 0.2.0 with previous version 0.1.5 dated 2026-06-16

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), Weighted Enrichment Analysis for ORA and GSEA, Network-based Set Enrichment Analysis (NSEA), multi-layer network-based enrichment, and multi-omics integration workflows. Additional features include early fusion at the feature level, late fusion at the pathway level, multi-omics contribution tracing, topology-aware explanation helpers, Bayesian term selection, and extremely fast Random Walk with Restart (RWR) using 'RcppEigen'. The enrichment methods build on GSEA by Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>, the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) <doi:10.1101/060012>, and network-based enrichment ideas described by Glaab et al. (2012) <doi:10.1093/bioinformatics/bts389>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package caretEnsemble updated to version 4.0.2 with previous version 4.0.1 dated 2024-09-12

Title: Ensembles of Caret Models
Description: Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model.
Author: Zachary A. Deane-Mayer [aut, cre, cph], Jared E. Knowles [ctb], Anton Lopez [ctb]
Maintainer: Zachary A. Deane-Mayer <zach.mayer@gmail.com>

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Package jmotif updated to version 1.3.0 with previous version 1.2.1 dated 2025-12-22

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 facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

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Package HAMMER updated to version 1.1 with previous version 1.0 dated 2026-06-08

Title: High-Dimensional Factor-Analytic Representation Modeling and Metrics
Description: The goal of 'HAMMER' is to provide factor analytic representation learning and associated determinacy metrics for very-high-dimensional data. It projects high-dimensional data onto low-dimensional generative latent sources and assesses the uncertainty in the projection. The projection is distribution-free, scale-equivariant, and efficient. For details, see Peeters (2026) <doi:10.48550/arXiv.2606.28854>.
Author: Carel F.W. Peeters [aut, cre, cph]
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>

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Package popEpi updated to version 0.5.0 with previous version 0.4.14 dated 2026-02-12

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

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Package mets updated to version 1.3.11 with previous version 1.3.10 dated 2026-05-23

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package vectra updated to version 0.9.8 with previous version 0.9.1 dated 2026-06-29

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between vectra versions 0.9.1 dated 2026-06-29 and 0.9.8 dated 2026-07-01

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Package structenforcement updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-30

Title: Struct-Like Data Type Checking and Enforcement
Description: Enforcement of field types in lists. A drop-in tool to allow for dynamic input data that might be questionably parsed or cast to be coerced into the specific desired format in a reasonably performant manner.
Author: Samuel Sapire [aut, cre, cph], Sean Barrett [ctb]
Maintainer: Samuel Sapire <sapires@protonmail.com>

Diff between structenforcement versions 0.3.0 dated 2026-06-30 and 0.3.1 dated 2026-07-01

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Package doBy updated to version 4.7.2 with previous version 4.7.1 dated 2025-12-02

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: Main categories: Working with grouped data: 'do' something to data when stratified 'by' some variables. General linear estimates. Data handling utilities. Functional programming, in particular restrict functions to a smaller domain. Miscellaneous functions for data handling. Model stability in connection with model selection. Miscellaneous other tools.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package teal.modules.general updated to version 0.7.0 with previous version 0.6.0 dated 2025-12-03

Title: General Modules for 'teal' Applications
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Author: Dony Unardi [aut, cre], Dawid Kaledkowski [aut], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dony Unardi <unardid@gene.com>

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Package surveillance updated to version 1.26.0 with previous version 1.25.0 dated 2025-06-25

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available mon [...truncated...]
Author: Michael Hoehle [aut, ths] , Sebastian Meyer [aut, cre] , Michaela Paul [aut], Leonhard Held [ctb, ths] , Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Sophie Reichert [ctb], Andrea Riebler [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

Diff between surveillance versions 1.25.0 dated 2025-06-25 and 1.26.0 dated 2026-07-01

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Package statgenHTP updated to version 1.0.9.3 with previous version 1.0.9.2 dated 2026-05-21

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package PRISMA2020 updated to version 1.1.4 with previous version 1.1.1 dated 2023-02-09

Title: Make Interactive 'PRISMA' Flow Diagrams
Description: Systematic reviews should be described in a high degree of methodological detail. The 'PRISMA' Statement calls for a high level of reporting detail in systematic reviews and meta-analyses. An integral part of the methodological description of a review is a flow diagram. This package produces an interactive flow diagram that conforms to the 'PRISMA2020' preprint. When made interactive, the reader/user can click on each box and be directed to another website or file online (e.g. a detailed description of the screening methods, or a list of excluded full texts), with a mouse-over tool tip that describes the information linked to in more detail. Interactive versions can be saved as HTML files, whilst static versions for inclusion in manuscripts can be saved as HTML, PDF, PNG, SVG, PS or WEBP files.
Author: Neal Haddaway [aut] , Luke McGuinness [aut] , Chris Pritchard [aut, cre] , Brennan Chapman [ctb], Hossam Hammady [ctb], Anders Kolstad [ctb] , Shreya Dimri [ctb] , Matt Lloyd Jones [ctb] , John-o Kulas [ctb]
Maintainer: Chris Pritchard <chris@christopherpritchard.co.uk>

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Package s20x updated to version 3.3.0 with previous version 3.2.2 dated 2026-01-14

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Brant Deppa [aut] , James Curran [aut, cre] , Hannah Yun [ctb], Rachel Fewster [ctb], Russell Millar [ctb], Ben Stevenson [ctb], Andrew Balemi [ctb], Chris Wild [ctb], Sophie Jones [ctb], Dineika Chandra [ctb], Brendan McArdle [ctb]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Tue, 30 Jun 2026

Package Rook updated to version 1.2.1 with previous version 1.2 dated 2022-11-07

Title: HTTP Web Server for R
Description: An HTTP web server for R with a documented API to interface between R and the server. The documentation contains the Rook specification and details for building and running Rook applications. To get started, be sure and read the 'Rook' help file first.
Author: Jeffrey Horner [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between Rook versions 1.2 dated 2022-11-07 and 1.2.1 dated 2026-06-30

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Package RMTstat updated to version 0.3.2 with previous version 0.3.1 dated 2022-04-12

Title: Distributions, Statistics and Tests Derived from Random Matrix Theory
Description: Functions for working with the Tracy-Widom laws and other distributions related to the eigenvalues of large Wishart matrices. The tables for computing the Tracy-Widom densities and distribution functions were computed by functions were computed by Momar Dieng's MATLAB package "RMLab". This package is part of a collaboration between Iain Johnstone, Zongming Ma, Patrick Perry, and Morteza Shahram.
Author: Iain M. Johnstone [aut], Zongming Ma [aut], Patrick O. Perry [aut], Morteza Shahram [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package tinyVAST updated to version 1.6.1 with previous version 1.6.0 dated 2026-05-18

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Permanent link

Package Slick updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-27

Title: Interactive Visualization of MSE Results
Description: A framework for visualizing and exploring results of a Management Strategy Evaluation (MSE). The publication quality figures and tables can be developed directly from the R console, or interactively explored with the 'Slick' App. For more details, see the 'Slick' website <https://slick.bluematterscience.com>.
Author: Adrian Hordyk [aut, cre], Tom Carruthers [aut], Quang Huynh [aut], Shana Miller [aut]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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Package RSQLite updated to version 3.53.3 with previous version 3.53.2 dated 2026-06-17

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations. Optionally, when libcurl is available at build time, an experimental HTTP/HTTPS virtual file system (VFS) can be enabled to allow read-only access to remote immutable SQLite database files via URIs.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 3.53.2 dated 2026-06-17 and 3.53.3 dated 2026-06-30

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Package jgd updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-29

Title: JSON Graphics Device
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package unvs.med updated to version 1.1.1 with previous version 1.1.0 dated 2026-01-27

Title: A Universal Approach for Causal Mediation Analysis
Description: This program realizes a universal estimation approach that accommodates multi-category variables and effect scales, making up for the deficiencies of the existing approaches when dealing with non-binary exposures and complex models. The estimation via bootstrapping can simultaneously provide results of causal mediation on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of the effects' difference. The estimation is also applicable to many other settings, e.g., moderated mediation, inconsistent covariates, panel data, etc. The high flexibility and compatibility make it possible to apply for any type of model, greatly meeting the needs of current empirical researches.
Author: Tianbao Zhou [aut, cre], Xinghao Li [aut], Lin Liu* [aut]
Maintainer: Tianbao Zhou <michaelzhou@buaa.edu.cn>

Diff between unvs.med versions 1.1.0 dated 2026-01-27 and 1.1.1 dated 2026-06-30

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Package gsDesign2 updated to version 1.1.9 with previous version 1.1.8 dated 2026-02-12

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], Yilong Zhang [aut], John Blischak [aut], Yihui Xie [aut], Nan Xiao [aut], Jianxiao Yang [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between gsDesign2 versions 1.1.8 dated 2026-02-12 and 1.1.9 dated 2026-06-30

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Package dtsmartr updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-16

Title: Interactive Virtualized Data Explorer Grid Widget
Description: Provides an interactive, virtualized data explorer widget for 'R'. Built on 'React' (via 'reactR') and 'htmlwidgets', it offers column-type detection, multi-value checkbox filtering, sorting, column visibility toggling, virtual scrolling for large datasets, and a full-viewport modal. Includes 'dtsmartr_launch()' with an interactive, zero-code file upload wizard using 'datamods'. Widgets can be embedded in 'R Markdown' / 'Quarto' documents, 'Shiny' applications, or exported as standalone HTML files via 'save_dtsmartr()'.
Author: Nikhil Wagh [aut, cre]
Maintainer: Nikhil Wagh <nmw1986@gmail.com>

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Package mwcsr updated to version 0.1.12 with previous version 0.1.11 dated 2026-05-11

Title: Solvers for Maximum Weight Connected Subgraph Problem and Its Variants
Description: Algorithms for solving various Maximum Weight Connected Subgraph Problems, including variants with budget constraints, cardinality constraints, weighted edges and signals. The package represents an R interface to high-efficient solvers based on relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>) mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>) and simulated annealing.
Author: Alexander Loboda [aut, cre], Nikolay Poperechnyi [aut], Eduardo Alvarez-Miranda [aut], Markus Sinnl [aut], Alexey Sergushichev [aut], Paul Hosler Jr. [cph] , www.hamcrest.org [cph] , Barak Naveh and Contributors [cph] , The Apache Software Foundation [...truncated...]
Maintainer: Alexander Loboda <aleks.loboda@gmail.com>

Diff between mwcsr versions 0.1.11 dated 2026-05-11 and 0.1.12 dated 2026-06-30

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Package SlimR updated to version 1.1.6 with previous version 1.1.5 dated 2026-06-03

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

Diff between SlimR versions 1.1.5 dated 2026-06-03 and 1.1.6 dated 2026-06-30

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Package rATTAINS updated to version 1.2.0 with previous version 1.1.0 dated 2025-12-09

Title: Access EPA 'ATTAINS' Data
Description: An R interface to United States Environmental Protection Agency (EPA) Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System ('ATTAINS') data. 'ATTAINS' is the EPA database used to track information provided by states about water quality assessments conducted under federal Clean Water Act requirements. ATTAINS information and API information is available at <https://www.epa.gov/waterdata/attains>.
Author: Michael Schramm [aut, cre, cph]
Maintainer: Michael Schramm <mpschramm@gmail.com>

Diff between rATTAINS versions 1.1.0 dated 2025-12-09 and 1.2.0 dated 2026-06-30

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Package portion updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-10

Title: Extracting a Data Portion
Description: Provides simple methods to extract data portions from various objects. The relative portion size and the way the portion is selected can be chosen.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between portion versions 0.1.2 dated 2025-06-10 and 0.1.3 dated 2026-06-30

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Package NNS updated to version 13.0 with previous version 12.1 dated 2026-06-05

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. Designed for real-world data that violates symmetry, linearity, or distributional assumptions, NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second edition: <https://ovvo-financial.github.io/NNS/book/>).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb], Rasheed Khoshnaw [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

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Package lmm updated to version 1.5 with previous version 1.4 dated 2023-08-19

Title: Linear Mixed Models
Description: Implements Expectation/Conditional Maximization Either (ECME), rapidly converging algorithms, and Bayesian inference for linear mixed models following Schafer (1998), "Some Improved Procedures for Linear Mixed Models", Department of Statistics, The Pennsylvania State University.
Author: Joseph L. Schafer [aut] , Jing hua Zhao [cre]
Maintainer: Jing hua Zhao <jinghuazhao@hotmail.com>

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Package Tplyr updated to version 1.3.3 with previous version 1.3.2 dated 2026-02-26

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

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Package tl updated to version 0.0.2 with previous version 0.0.1 dated 2026-06-22

Title: Tiny Logging Interface to 'rspdlite' Wrapping 'spdlite' C++20 Logging
Description: Just how 'spdl' provides a nice and consistent interface to 'spdlog' (via 'RcppSpdlog'), this package does so for 'spdlite', the lightweight header-only C++-20 logging library that provides a lighter version of 'spdlog'. This package is essentially a thin shim around it for a more compact interface from both R and C++.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package stochtree updated to version 0.4.5 with previous version 0.4.4 dated 2026-06-08

Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) (Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285>) for supervised learning and Bayesian Causal Forests (BCF) (Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195>) for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers. Includes the grow-from-root algorithm for accelerated forest sampling (He and Hahn (2021) <doi:10.1080/01621459.2021.1942012>), a log-linear leaf model for forest-based heteroskedasticity (Murray (2020) <doi:10.1080/01621459.2020.1813587>), and the cloglog BART model of Alam and Linero (2025) <doi:10.48550/arXiv.2502.00606> for ordinal outcomes.
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], Entejar Alam [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>

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Package rchemo updated to version 0.1-4 with previous version 0.1-3 dated 2024-09-11

Title: Dimension Reduction, Regression and Discrimination for Chemometrics
Description: Data exploration and prediction with focus on high dimensional data and chemometrics. The package was initially designed about partial least squares regression and discrimination models and variants, in particular locally weighted PLS models (LWPLS). Then, it has been expanded to many other methods for analyzing high dimensional data. The name 'rchemo' comes from the fact that the package is orientated to chemometrics, but most of the provided methods are fully generic to other domains. Functions such as transform(), predict(), coef() and summary() are available. Tuning the predictive models is facilitated by generic functions gridscore() (validation dataset) and gridcv() (cross-validation). Faster versions are also available for models based on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).
Author: Marion Brandolini-Bunlon [aut, cre], Benoit Jaillais [aut], Jean-Michel Roger [aut], Matthieu Lesnoff [aut]
Maintainer: Marion Brandolini-Bunlon <marion.brandolini-bunlon@inrae.fr>

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Package lsirm12pl updated to version 2.0.3 with previous version 2.0.2 dated 2026-05-29

Title: Latent Space Item Response Model
Description: Analysis of dichotomous, ordinal, and continuous response data using latent space item response model ('LSIRM'). Provides 1PL and 2PL 'LSIRM' for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, graded response models ('GRM') for ordinal data (De Carolis et al., 2025, <doi:10.1080/00273171.2025.2605678>), and extensions for continuous response data. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random ('MAR') and missing completely at random ('MCAR') assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package lava updated to version 1.9.2 with previous version 1.9.1 dated 2026-05-14

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package BayesERtools updated to version 0.2.7 with previous version 0.2.6 dated 2026-06-13

Title: Bayesian Exposure-Response Analysis Tools
Description: Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.
Author: Kenta Yoshida [aut, cre] , Francois Mercier [aut] , Danielle Navarro [aut] , Genentech, Inc. [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package cicalc updated to version 0.2.2 with previous version 0.2.1 dated 2026-05-08

Title: Calculate Confidence Intervals
Description: This calculates a variety of different CIs for proportions and difference of proportions that are commonly used in the pharmaceutical industry including Wald, Wilson, Clopper-Pearson, Agresti-Coull and Jeffreys for proportions. And Miettinen-Nurminen (1985) <doi:10.1002/sim.4780040211>, Wald, Haldane, and Mee <https://www.lexjansen.com/wuss/2016/127_Final_Paper_PDF.pdf> for difference in proportions.
Author: Christina Fillmore [aut, cre] , GlaxoSmithKline Research & Development Limited [cph, fnd], Mike Sprys [aut], Dan Lythgoe [aut]
Maintainer: Christina Fillmore <christina.e.fillmore@gsk.com>

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Package neonSoilFlux updated to version 4.0.0 with previous version 3.0.0 dated 2025-11-22

Title: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites
Description: Acquires and synthesizes soil carbon fluxes at sites located in the National Ecological Observatory Network (NEON). Provides flux estimates and associated uncertainty as well as key environmental measurements (soil water, temperature, CO2 concentration) that are used to compute soil fluxes.
Author: John Zobitz [aut, cre] , Edward Ayres [aut] , Katie O'Rourke [ctb] , Zoey Werbin [ctb], Lajntxiag Lee [ctb], Ridwan Abdi [ctb] , Dijone Mehmeti [ctb] , Ly Xiong [ctb]
Maintainer: John Zobitz <zobitz@augsburg.edu>

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Package limSolve updated to version 2.0.3 with previous version 2.0.2 dated 2026-06-03

Title: Solving Linear Inverse Models
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between limSolve versions 2.0.2 dated 2026-06-03 and 2.0.3 dated 2026-06-30

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Package LBBNN updated to version 0.1.6 with previous version 0.1.5 dated 2026-04-23

Title: Latent Binary Bayesian Neural Networks Using 'torch'
Description: Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
Author: Lars Skaaret-Lund [aut, cre], Aliaksandr Hubin [aut], Eirik Hoeyheim [aut]
Maintainer: Lars Skaaret-Lund <lars.skaaret-lund@nmbu.no>

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Package GeoModels updated to version 2.2.5 with previous version 2.2.4 dated 2026-06-15

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package dvir updated to version 3.4.2 with previous version 3.4.1 dated 2026-05-15

Title: Disaster Victim Identification
Description: Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [aut]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package blocking updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-11

Title: Various Blocking Methods for Entity Resolution
Description: The goal of 'blocking' is to provide blocking methods for record linkage and deduplication using approximate nearest neighbour (ANN) algorithms and graph techniques. It supports multiple ANN implementations via 'rnndescent', 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration with the 'reclin2' package. The package generates shingles from character strings and similarity vectors for record comparison, and includes evaluation metrics for assessing blocking performance including false positive rate (FPR) and false negative rate (FNR) estimates. For details see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014) <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.
Author: Maciej Beresewicz [aut, cre] , Adam Struzik [aut, ctr]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

Diff between blocking versions 1.0.2 dated 2026-03-11 and 1.0.3 dated 2026-06-30

 DESCRIPTION                      |    8 -
 MD5                              |   89 +++++++--------
 NEWS.md                          |    6 +
 R/blocking.R                     |  221 ++++++++++++++++++++-------------------
 R/controls.R                     |   46 ++++----
 R/data.R                         |    2 
 R/est_block_error.R              |    8 -
 R/eval.R                         |   26 ++--
 R/internals.R                    |only
 R/method_annoy.R                 |    2 
 R/method_hnsw.R                  |    2 
 R/method_mlpack.R                |    9 -
 R/method_nnd.R                   |    2 
 R/methods.R                      |  100 ++++++++++++++++-
 R/reclin2_pair_ann.R             |   37 ++----
 README.md                        |   17 +--
 build/partial.rdb                |binary
 build/vignette.rds               |binary
 inst/doc/v1-deduplication.R      |    9 -
 inst/doc/v1-deduplication.Rmd    |   14 +-
 inst/doc/v1-deduplication.html   |   16 +-
 inst/doc/v2-reclin.html          |   14 +-
 inst/doc/v3-integration.Rmd      |    2 
 inst/doc/v3-integration.html     |   46 ++------
 inst/tinytest/test_annoy.R       |    9 +
 inst/tinytest/test_blocking.R    |  169 +++++++++++++++++++++++++++++
 inst/tinytest/test_data.R        |    1 
 inst/tinytest/test_hnsw.R        |    9 +
 inst/tinytest/test_mlpack.R      |   13 +-
 inst/tinytest/test_reclin2.R     |   65 +++++++++++
 inst/tinytest/test_true_blocks.R |   99 ++++++++++++++++-
 man/RLdata500.Rd                 |    2 
 man/blocking.Rd                  |   28 ++--
 man/control_kd.Rd                |    6 -
 man/control_lsh.Rd               |    2 
 man/control_nnd.Rd               |    2 
 man/controls_ann.Rd              |   10 -
 man/controls_txt.Rd              |    2 
 man/est_block_error.Rd           |    8 -
 man/method_hnsw.Rd               |    2 
 man/method_mlpack.Rd             |    2 
 man/method_nnd.Rd                |    2 
 man/pair_ann.Rd                  |   13 +-
 tests/tinytest.R                 |    3 
 vignettes/v1-deduplication.Rmd   |   14 +-
 vignettes/v3-integration.Rmd     |    2 
 46 files changed, 780 insertions(+), 359 deletions(-)

More information about blocking at CRAN
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