Thu, 11 Jun 2026

Package semmcci updated to version 1.1.6 with previous version 1.1.5 dated 2025-10-19

Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package vectra updated to version 0.7.1 with previous version 0.6.2 dated 2026-05-08

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.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package rstudioapi updated to version 0.19.0 with previous version 0.18.0 dated 2026-01-16

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package RcppThread updated to version 2.4.0 with previous version 2.3.0 dated 2026-01-16

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package betaNB updated to version 1.0.7 with previous version 1.0.6 dated 2025-10-19

Title: Bootstrap for Regression Effect Sizes
Description: Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package betaMC updated to version 1.3.4 with previous version 1.3.3 dated 2025-10-19

Title: Monte Carlo for Regression Effect Sizes
Description: Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package colleyRstats updated to version 0.1.0 with previous version 0.0.4 dated 2026-05-03

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package betaSandwich updated to version 1.0.9 with previous version 1.0.8 dated 2025-10-19

Title: Robust Confidence Intervals for Standardized Regression Coefficients
Description: Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package betaDelta updated to version 1.0.7 with previous version 1.0.6 dated 2025-10-19

Title: Confidence Intervals for Standardized Regression Coefficients
Description: Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package surveysd updated to version 2.0.3 with previous version 2.0.2 dated 2026-04-27

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] , Eileen Vattheuer [aut], Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

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Package MacroFilters updated to version 0.2.1 with previous version 0.1.0 dated 2026-05-27

Title: Robust Trend-Cycle Decomposition for Macroeconomic Time Series
Description: Provides high-performance tools for macroeconomic trend extraction and filtering, specifically designed to solve the end-point problem in real-time. Implements the MacroBoost Hybrid (MBH) filter using penalized P-splines and gradient boosting. Unlike the standard Hodrick-Prescott filter, 'MacroFilters' utilizes component-wise L2-boosting with robust loss functions (Huber) to handle extreme transient shocks (e.g., COVID-19) without inducing spurious trend shifts. The algorithm includes an automated two-layer diagnostic stage for unit roots and structural breaks, optimized via corrected AICc for computational efficiency. Methodology detailed in Kinel (2026) <doi:10.2139/ssrn.6371138>.
Author: Michal Kinel [aut, cre]
Maintainer: Michal Kinel <michal.kinel@gmail.com>

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Package demofit updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-28

Title: Parametric Mortality Curve Fitting and Mortality Forecasting Tools
Description: Provides tools for fitting parametric mortality curves. Implements multiple optimisation strategies to enhance robustness and stability of parameter estimation. Offers tools for forecasting mortality rates guided by mortality curves. For modelling details see: Tabeau (2001) <doi:10.1007/0-306-47562-6_1>, Renshaw and Haberman (2006) <doi:10.1016/j.insmatheco.2005.12.001>, Cairns et al. (2009) <doi:10.1080/10920277.2009.10597538>, Li and Lee (2005) <doi: 10.1353/dem.2005.0021>.
Author: Jackie Li [aut, cre, cph]
Maintainer: Jackie Li <jackieli@smu.edu.sg>

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Package compindexR updated to version 0.1.4 with previous version 0.1.3 dated 2023-11-25

Title: Calculates Composite Index
Description: It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.
Author: Olgun Aydin [cre] , Marta Kuc-Czarnecka [aut] , Michal Pietrzak [aut]
Maintainer: Olgun Aydin <olgun.aydin@pg.edu.pl>

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Package tidyhydat updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-03

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources and then applies tidy data principles.
Author: Sam Albers [aut, cre, cph] , Province of British Columbia [cph] , Tula Foundation [cph] , David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Government of Canada [dtc], Luke Winslow [rev] , Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>

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Package flexFitR updated to version 1.2.3 with previous version 1.2.2 dated 2026-01-27

Title: Flexible Non-Linear Least Square Model Fitting
Description: Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).
Author: Johan Aparicio [cre, aut], Jeffrey Endelman [aut], University of Wisconsin Madison [cph]
Maintainer: Johan Aparicio <aparicioarce@wisc.edu>

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Package Rapp updated to version 0.4.0 with previous version 0.3.0 dated 2025-12-14

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

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Package ggRandomForests updated to version 3.1.0 with previous version 2.7.3 dated 2026-05-12

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 getRad updated to version 0.3.0 with previous version 0.2.4 dated 2025-12-10

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package fixes updated to version 0.11.2 with previous version 0.8.1 dated 2026-05-10

Title: Staggered DiD Tools: Event Studies and ATT Aggregation
Description: Provides tools for difference-in-differences (DiD) estimation and visualization with staggered adoption. Includes run_es() for event-study curves (dynamic effects by relative time) and calc_att() for aggregated ATT estimation (overall, by cohort, by calendar time). Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package wpeR updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-14

Title: Streamlined Analysis of Wild Pedigree Data
Description: Analyzing pedigree data of wild populations. While primarily designed to process outputs from the 'COLONY' (Jones & Wang (2010) <doi:10.1111/j.1755-0998.2009.02787.x>) pedigree reconstruction software, it can also accommodate data from other sources. By linking reconstructed pedigrees with genetic sample metadata, 'wpeR' produces spatial and temporal visualizations as well as tabular summaries that support interpretation of family structures and dynamics. The main goal of the package is to provide a solution for the analysis of complex wild pedigree data and to help the user to gain insights into genetic relationships within wild animal populations.
Author: Tomaz Skrbinsek [aut], Gregor Simcic [aut, cre]
Maintainer: Gregor Simcic <grega0simcic@gmail.com>

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Package rtmpinvi updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package rlppinv updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Linear Programming via Regularized Least Squares
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

Diff between rlppinv versions 1.1.0 dated 2026-06-07 and 2.0.0 dated 2026-06-11

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Package risk.assessr updated to version 4.1.0 with previous version 3.1.1 dated 2026-04-08

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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Package restriktor updated to version 0.6-50 with previous version 0.6-30 dated 2026-02-05

Title: Restricted Statistical Estimation and Inference for Linear Models
Description: Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.
Author: Leonard Vanbrabant [aut, cre], Rebecca Kuiper [aut], Yves Rosseel [ctb], Aleksandra Dacko [ctb]
Maintainer: Leonard Vanbrabant <info@restriktor.org>

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Package prioritizrdata updated to version 0.3.3 with previous version 0.3.2 dated 2023-04-06

Title: Conservation Planning Datasets
Description: Conservation planning datasets for learning how to use the 'prioritizr' package <https://CRAN.R-project.org/package=prioritizr>.
Author: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut], Matthew Strimas-Mackey [aut] , Kristine Camille V Buenafe [aut] , Matthew E Watts [aut], Peter Arcese [aut] , Joseph R Bennett [aut] , Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

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Package discnorm updated to version 0.2.2 with previous version 0.2.1 dated 2022-05-25

Title: Test for Discretized Normality in Ordinal Data
Description: Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>. In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account, as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.
Author: Njal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njal Foldnes <njal.foldnes@gmail.com>

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Package rtmpinv updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Tabular Matrix Problems via Pseudoinverse Estimation
Description: The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package rclsp updated to version 2.0.1 with previous version 2.0.0 dated 2026-06-08

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package palaeoverse updated to version 1.5.0 with previous version 1.4.0 dated 2024-10-14

Title: Prepare and Explore Data for Palaeobiological Analyses
Description: Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart/>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.
Author: Lewis A. Jones [aut, cre] , William Gearty [aut] , Bethany J. Allen [aut] , Kilian Eichenseer [aut] , Christopher D. Dean [aut] , Etienne Bacher [aut] , Joseph T. Flannery-Sutherland [aut] , Sofia Galvan [ctb] , Miranta Kouvari [ctb] , Pedro L. Godoy [...truncated...]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>

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Package mlr3 updated to version 1.7.1 with previous version 1.7.0 dated 2026-06-10

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [ctb] , [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package wrGraph updated to version 1.3.16 with previous version 1.3.15 dated 2026-04-29

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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 man/VolcanoPlotW.Rd            |   36 +-
 man/addBagPlot.Rd              |   39 +-
 man/cumFrqPlot.Rd              |   13 
 man/foldChangeArrow.Rd         |    2 
 man/mouseOverHtmlFile.Rd       |   10 
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 man/profileAsClu.Rd            |   10 
 vignettes/wrGraphVignette1.Rmd |   41 +--
 24 files changed, 671 insertions(+), 751 deletions(-)

More information about wrGraph at CRAN
Permanent link

New package tabular with initial version 0.1.0
Package: tabular
Title: Render Tables and Listings for Clinical Submissions
Version: 0.1.0
Description: Render clinical submission tables and listings to 'RTF', 'LaTeX', 'HTML', 'PDF', and 'DOCX' from pre-summarised data frames, with no external 'Java' or 'SAS' dependency. Features include decimal alignment via font metrics, multi-level column headers with passthrough leaves, predicate-targeted cell styling, footnotes, and group-aware pagination. Built for Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model (ADaM) workflows and regulatory submissions to agencies such as the Food and Drug Administration (FDA), European Medicines Agency (EMA), and Pharmaceuticals and Medical Devices Agency (PMDA).
License: MIT + file LICENSE
URL: https://vthanik.github.io/tabular/, https://github.com/vthanik/tabular
BugReports: https://github.com/vthanik/tabular/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: S7, cli, commonmark, rlang, xml2
Suggests: testthat (>= 3.0.0), withr, digest, ggplot2, htmltools, knitr, quarto, pkgdown, rstudioapi, systemfonts, tibble, tinytex, webshot2, yaml
VignetteBuilder: quarto
SystemRequirements: Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>), needed only to build the package vignettes.
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-05 20:23:01 UTC; vignesh
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-11 12:30:02 UTC

More information about tabular at CRAN
Permanent link

New package ShinyBlock with initial version 0.1.3
Package: ShinyBlock
Title: Multi-Protocol Blockchain Simulator and Enterprise Ledger Framework
Version: 0.1.3
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: An interactive framework for simulating blockchain protocols using a hybrid 'R-Shiny' and 'Python' architecture. The package provides tools to visualize peer-to-peer network maps, manage supply chain logistics on-chain, and execute cross-border settlements via smart contract logic. It leverages the 'reticulate' package to perform standardized cryptographic operations, including 'SHA-256' hashing, 'Merkle' Tree construction, and 'ECDSA' (Elliptic Curve Digital Signature Algorithm) key generation. This tool is designed for pedagogical demonstration and rapid prototyping of distributed ledger requirements.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, reticulate, reactable, networkD3, bslib, jsonlite
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: Python (>= 3.7), ecdsa (Python package)
VignetteBuilder: knitr
URL: https://github.com/ikemillar/ShinyBlock
BugReports: https://github.com/ikemillar/ShinyBlock/issues
NeedsCompilation: no
Packaged: 2026-06-05 17:54:07 UTC; isaacosei
Author: Isaac Osei [aut, cre], Yamini Alakunta [aut]
Repository: CRAN
Date/Publication: 2026-06-11 12:10:18 UTC

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New package punycoder with initial version 1.0.0
Package: punycoder
Title: Unicode and Punycode Domain Name Processing
Version: 1.0.0
Description: High-performance Unicode and Punycode encoding/decoding for internationalized domain names. Provides RFC 3492 compliant conversion functions with a focus on URL processing and data analysis workflows. Addresses limitations in existing R packages for handling international domain names in web scraping and URL parsing applications.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
SystemRequirements: GNU libidn2 (optional, for native punycode backend)
License: MIT + file LICENSE
URL: https://github.com/bart-turczynski/punycoder
BugReports: https://github.com/bart-turczynski/punycoder/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-05 18:13:57 UTC; bartturczynski
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek+punycoder@turczynski.pl>
Repository: CRAN
Date/Publication: 2026-06-11 12:20:02 UTC

More information about punycoder at CRAN
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New package impower133 with initial version 1.0.0
Package: impower133
Title: Reproduce IMpower133 Clinical Trial Results
Version: 1.0.0
Description: Provides functions to simulate baseline characteristics, reconstruct overall survival data from published Kaplan-Meier curves, and generate publication-ready tables and forest plots reproducing the IMpower133 clinical trial results (Horn et al., 2018, <doi:10.1056/NEJMoa1809064>). The IPD reconstruction method is based on Liu et al.(2021, <doi:10.1186/s12874-021-01308-8>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, survival, survminer, gt, forestplot, IPDfromKM, ggplot2, stats, utils, grid
SystemRequirements: GNU make
Suggests: testthat (>= 3.0.0)
URL: https://github.com/fanfande131/impower133
BugReports: https://github.com/fanfande131/impower133/issues
NeedsCompilation: no
Packaged: 2026-06-05 18:10:45 UTC; 总行是只煤球
Author: Lu Huang [aut, cre], Wenkai Nie [aut], Qingyang Jiang [aut], Qinxin Chen [aut]
Maintainer: Lu Huang <2998785392@qq.com>
Repository: CRAN
Date/Publication: 2026-06-11 12:20:07 UTC

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Package fluidsynth updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-04

Title: Read and Play Digital Music (MIDI)
Description: Bindings to 'libfluidsynth' to parse and synthesize MIDI files. It can read MIDI into a data frame, play it on the local audio device, or convert into an audio file.
Author: Jeroen Ooms [aut, cre] , S. Christian Collins [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between fluidsynth versions 1.0.2 dated 2024-10-04 and 1.0.3 dated 2026-06-11

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
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 4 files changed, 25 insertions(+), 9 deletions(-)

More information about fluidsynth at CRAN
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Package bbk updated to version 0.11.0 with previous version 0.10.0 dated 2026-05-16

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco de España' (BdE), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between bbk versions 0.10.0 dated 2026-05-16 and 0.11.0 dated 2026-06-11

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 tests/testthat/test-sdmx.R                     |   19 ++
 tests/testthat/test-snb.R                      |   61 +++++++
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 107 files changed, 1504 insertions(+), 833 deletions(-)

More information about bbk at CRAN
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Package BAwiR updated to version 1.5.2 with previous version 1.5.1 dated 2026-06-04

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

Diff between BAwiR versions 1.5.1 dated 2026-06-04 and 1.5.2 dated 2026-06-11

 DESCRIPTION                   |    8 ++--
 MD5                           |   26 ++++++-------
 NEWS                          |    6 +++
 R/do_add_adv_stats.R          |   14 ++++---
 R/do_stats.R                  |   84 ++++++++++++++++++++++++++++++++----------
 R/get_donut_usage.R           |   15 +++++--
 R/get_donut_usage_action.R    |    4 +-
 R/get_net_rtg_on_off.R        |   20 ++++++++--
 inst/doc/BAwiR.html           |    4 +-
 inst/doc/BAwiR_pbp.html       |    4 +-
 inst/doc/BAwiR_sc.html        |    4 +-
 man/get_donut_usage.Rd        |    8 +++-
 man/get_donut_usage_action.Rd |    2 -
 man/get_net_rtg_on_off.Rd     |    1 
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New package tutorizeR with initial version 0.4.5
Package: tutorizeR
Title: Convert R Markdown or Quarto Content into Interactive Tutorials
Version: 0.4.5
Author: Aurelien Nicosia [aut, cre]
Maintainer: Aurelien Nicosia <aurelien.nicosia@mat.ulaval.ca>
Description: Helps teachers convert existing '.Rmd' and '.qmd' teaching material into interactive tutorials for 'learnr' or 'quarto-live'. Conversion preserves narrative text, setup chunks, and major chunk options, supports teacher tags, and provides explicit validation and conversion reports. Output conventions follow 'learnr' as described by Aden-Buie et al. (2025) <doi:10.32614/CRAN.package.learnr>, 'quarto-live' as described by Stagg (2024) <https://tidyverse.org/blog/2024/10/quarto-live-0-1-1/>, and R Markdown as described by Xie, Allaire and Grolemund (2018, ISBN:9781138359338).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: cli, jsonlite, lifecycle, rlang, rmarkdown, rstudioapi, yaml
Suggests: commonmark, covr, dplyr, ggplot2, knitr, learnr, lintr, miniUI, readr, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/AurelienNicosiaULaval/tutorizeR
BugReports: https://github.com/AurelienNicosiaULaval/tutorizeR/issues
NeedsCompilation: no
Packaged: 2026-06-05 15:26:09 UTC; aureliennicosia
Repository: CRAN
Date/Publication: 2026-06-11 11:40:02 UTC

More information about tutorizeR at CRAN
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New package sysreqr with initial version 0.1.0
Package: sysreqr
Title: Preflight Checks for 'R' Package System Requirements
Version: 0.1.0
Description: Helps users on 'Linux' (and, where applicable, 'macOS') find the system packages they need before installing 'R' packages from source. Queries maintained system requirement sources, reports missing system packages, and generates installation commands, 'Dockerfile' snippets, 'GitHub Actions' steps, administrator request templates, and diagnostic reports from failed installation logs.
License: GPL-3
URL: https://github.com/choxos/sysreqR
BugReports: https://github.com/choxos/sysreqR/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-05 16:08:45 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-11 11:50:02 UTC

More information about sysreqr at CRAN
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Package spada updated to version 0.1.6 with previous version 0.1.5 dated 2026-04-21

Title: A 'shiny' Package for Data Analysis
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Luis Gustavo Schuck [aut, cre]
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>

Diff between spada versions 0.1.5 dated 2026-04-21 and 0.1.6 dated 2026-06-11

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 spada-0.1.6/spada/tests/testthat/test-sidebar_module.R         |   34 
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 78 files changed, 1389 insertions(+), 760 deletions(-)

More information about spada at CRAN
Permanent link

New package rtrees with initial version 2.0.2
Package: rtrees
Title: Deriving Phylogenies from Synthesis Trees
Version: 2.0.2
Description: Provides tools to derive species-level phylogenies from large synthesis mega-trees for a wide range of taxonomic groups, including plants, birds, mammals, amphibians, reptiles, fish, bees, butterflies, and sharks. When a queried species is absent from the mega-tree, it is grafted onto the tree using one of two placement strategies: attachment at the basal node of the most closely related genus or family ('at_basal_node'), or random attachment below that basal node with probability proportional to branch length ('random_below_basal'). See Li (2023) <doi:10.1111/ecog.06643> for details. Multiple species from a genus not represented in the mega-tree are placed as a polytomy to preserve clade coherence. The package interfaces with the 'megatrees' data package, which bundles or downloads on demand curated mega-trees. Users can also provide their own mega-trees.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape, tidytree, dplyr, tibble, utils, castor, furrr, future, megatrees (>= 0.1.3), fastmatch, data.table, Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat, piggyback, R.rsp, ggplot2
URL: https://daijiang.github.io/rtrees/
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2026-06-05 15:40:11 UTC; dli
Author: Daijiang Li [aut, cre]
Maintainer: Daijiang Li <daijianglee@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-11 11:40:07 UTC

More information about rtrees at CRAN
Permanent link

New package pvarife with initial version 0.1.1
Package: pvarife
Version: 0.1.1
Title: Panel VAR Models with Interactive Fixed Effects
Description: Implements the estimator of Tugan (2021) <doi:10.1093/ectj/utaa021> for panel vector autoregression (VAR) models with interactive fixed effects. Provides joint estimation of VAR coefficients, latent common factors, and factor loadings via an iterative algorithm that alternates between principal component estimation of the factors and least squares estimation of the VAR coefficients, following the approach of Bai (2009). Supports impulse response functions under recursive (Cholesky) identification, parametric confidence bands from the joint asymptotic distribution of the estimator (Theorem 2.3), and a classical residual bootstrap for robustness checks.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, mvtnorm, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Rickchen0910/pvarife
BugReports: https://github.com/Rickchen0910/pvarife/issues
NeedsCompilation: no
Packaged: 2026-06-05 17:01:21 UTC; apple
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-11 12:00:02 UTC

More information about pvarife at CRAN
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New package myIO with initial version 1.2.0
Package: myIO
Title: Interactive Data Visualizations Using 'd3.js'
Version: 1.2.0
Description: Create interactive 'd3.js' visualizations from R with built-in statistical transforms. Computes confidence intervals, regression fits, LOESS smoothing, moving averages, error bars, and uncertainty visualizations (quantile dot plots and fan charts) in R and renders them as composable chart layers via 'htmlwidgets'. Supports 36 chart types including boxplots, violin plots, Q-Q diagnostic plots, calendar heatmaps, survival curves, and group comparisons with pairwise significance testing. Also provides a machine-readable chart specification schema with validators so that large language model agents can author and verify charts. Works in 'RStudio', 'Shiny', and 'R Markdown'.
License: MIT + file LICENSE
URL: https://mortonanalytics.github.io/myIO/, https://github.com/mortonanalytics/myIO
BugReports: https://github.com/mortonanalytics/myIO/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, shiny, crosstalk (>= 1.2.0), dplyr, DT, reactable, htmltools, arrow, base64enc, cli, curl, DBI, duckdb, openssl, later, mockery, withr
VignetteBuilder: knitr
Imports: htmlwidgets, jsonlite, stats
NeedsCompilation: no
Packaged: 2026-06-05 16:01:05 UTC; ryanemorton
Author: Ryan Morton [aut, cre, cph], Mike Bostock [cph] , James Hall [cph] , yWorks GmbH [cph]
Maintainer: Ryan Morton <morton@myma.us>
Repository: CRAN
Date/Publication: 2026-06-11 11:50:08 UTC

More information about myIO at CRAN
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Package mlr3cluster updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-01

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package equil2 updated to version 1.1.0 with previous version 1.0.0 dated 2022-12-20

Title: Calculate Urinary Saturation with the EQUIL2 Algorithm
Description: Saturation of ionic substances in urine is calculated based on sodium, potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate, oxalate, citrate, ph, and urate. This program is intended for research use, only. The code within is translated from EQUIL2 Visual Basic code based on Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.
Author: Bill Denney [aut, cre, cph] , John Lieske [cph]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package standardlastprofile updated to version 2.0.0 with previous version 1.1.0 dated 2026-03-16

Title: BDEW Standard Load Profiles for Electricity and Gas
Description: Provides representative standard load profiles (SLPs) for electricity and gas published by the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The electricity profiles cover the 1999 profiles — households (H0), commercial (G0–G6), and agriculture (L0–L2) — and the updated 2025 profiles (H25, G25, L25, P25, S25), which additionally represent households with photovoltaic systems and battery storage. An interface generates an electricity load profile over a user-defined date range. A second interface generates daily gas load profiles using the BDEW/VKU/GEODE synthetic 'SigLinDe' procedure from daily temperatures and a customer value ('Kundenwert'). The 1999 data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The electricity generation algorithm is described in VDEW (2000), "Anwendung der Rep [...truncated...]
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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Package SQMtools readmission to version 1.8.0 with previous version 1.7.2 dated 2025-06-14

Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>

This is a re-admission after prior archival of version 1.7.2 dated 2025-06-14

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Package SdeaR updated to version 1.1.0 with previous version 1.0.2 dated 2025-12-12

Title: Stochastic Data Envelopment Analysis
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

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Package InsuSensCalc updated to version 0.1.0 with previous version 0.0.1 dated 2024-04-04

Title: Insulin Sensitivity Indices Calculator
Description: Facilitates the calculation of 40 different insulin sensitivity indices based on fasting, oral glucose tolerance test (OGTT), lipid (adipose), tracer (palmitate and glycerol rate), and DXA (fat mass) measurement values. Enables easy and accurate assessment of insulin sensitivity, critical for understanding and managing metabolic disorders like diabetes and obesity. Indices calculated are described in Gastaldelli (2022) <doi:10.1002/oby.23503>, Suleman (2024) <doi:10.1210/clinem/dgae275>, and Lorenzo (2010) <doi:10.1210/jc.2010-1144>.
Author: Sufyan Suleman [aut, cre]
Maintainer: Sufyan Suleman <sufyansuleman@hotmail.com>

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Package W3CMarkupValidator updated to version 0.2-4 with previous version 0.2-3 dated 2026-04-13

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package INLAvaan updated to version 0.2.5 with previous version 0.2.4 dated 2026-04-02

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

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Package BMisc updated to version 1.4.9 with previous version 1.4.8 dated 2025-02-04

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas. Additional utilities support staggered treatment adoption [...truncated...]
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package FactoMineR updated to version 2.15 with previous version 2.14 dated 2026-04-08

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 tgml updated to version 0.5.0 with previous version 0.4.0 dated 2026-01-22

Title: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics
Description: Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

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Package plmmr updated to version 4.3.0 with previous version 4.2.3 dated 2026-01-26

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Yujing Lu [aut], Oscar A. Rysavy [aut] , Patrick J. Breheny [aut, cre]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

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Package Andromeda updated to version 1.2.1 with previous version 1.2.0 dated 2025-10-29

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut], Egill Fridgeirsson [aut], Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package tnl.Test (with last version 0.1.0) was removed from CRAN

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2023-12-12 0.1.0

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Package Uno updated to version 2.7.3-1 with previous version 2.7.3 dated 2026-06-08

Title: R Interface to the 'Uno' Nonlinear Optimization Solver
Description: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) <doi:10.48550/arXiv.2406.13454>.
Author: Balasubramanian Narasimhan [aut, cre], Charlie Vanaret [aut, cph] , Sven Leyffer [aut, cph] , HiGHS development team [cph] ; see inst/COPYRIGHTS)
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package SuperSurv readmission to version 0.1.7 with previous version 0.1.2 dated 2026-05-04

Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling et al. (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/2026.03.11.711010>.
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-05-04

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Package nascaR.data updated to version 3.1.0 with previous version 3.0.1 dated 2026-02-16

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NXS, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and is updated weekly during the racing season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kyle@kylegrealis.com>

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Package lang updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-05

Title: Translates R Help Documentation using Large Language Models
Description: Translates R help documentation on the fly by using a Large Language model of your choice. If you are using 'RStudio' or 'Positron' the translated help will appear in the help pane.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

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Package ibkrcp updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-07

Title: R Client for the Interactive Brokers Client Portal API
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <ibkrcp@gmail.com>

Diff between ibkrcp versions 0.1.1 dated 2026-05-07 and 0.1.2 dated 2026-06-11

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 R/portfolio.R                                                                  |   25 ++---
 R/session.R                                                                    |   15 +++
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 man/ibkr_auth_status.Rd                                                        |    2 
 man/ibkr_cancel_order.Rd                                                       |    2 
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 man/ibkr_ping.Rd                                                               |    2 
 man/ibkr_place_order.Rd                                                        |    2 
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Package stocks (with last version 1.1.4) was removed from CRAN

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

2018-08-31 1.1.4
2018-05-08 1.1.3
2018-03-06 1.1.2
2015-02-23 1.1.1

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Package mMARCH.AC (with last version 3.3.4.0) was removed from CRAN

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2026-02-05 3.3.4.0
2025-04-25 3.2.0.1
2025-04-23 3.2.0.0
2024-08-23 2.9.4.0
2023-08-16 2.9.2.0
2022-09-21 2.4.0.1
2022-08-22 2.4.0.0

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Package spsurv (with last version 1.0.0) was removed from CRAN

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2020-03-31 1.0.0

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Package missSOM (with last version 1.0.1) was removed from CRAN

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2022-05-05 1.0.1

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Package navigation (with last version 0.0.1) was removed from CRAN

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2023-05-16 0.0.1

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Package postGGIR (with last version 2.4.0.2) was removed from CRAN

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2022-01-06 2.4.0.2
2021-10-15 2.4.0.1
2021-07-14 2.4.0
2021-05-06 2.0.0
2021-03-01 1.0.0

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Package sonicscrewdriver (with last version 0.0.7) was removed from CRAN

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2024-05-11 0.0.7
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2024-02-22 0.0.5
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2020-11-15 0.0.3
2019-11-19 0.0.1

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Package symphony (with last version 0.1.3) was removed from CRAN

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2026-05-25 0.1.3
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Package rbenchmark (with last version 1.0.0) was removed from CRAN

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2012-08-30 1.0.0
2012-08-13 0.3.1

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Package accelerometry (with last version 3.1.2) was removed from CRAN

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2018-08-24 3.1.2
2018-08-21 3.1.1
2015-05-12 2.2.5
2014-12-09 2.2.4
2014-11-24 2.2.3
2014-08-11 2.2.2
2014-03-20 2.2.1
2014-02-25 2.2
2014-02-08 2.1
2013-09-01 2.0
2013-08-03 1.0

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Package dvmisc (with last version 1.1.4) was removed from CRAN

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2019-12-16 1.1.4
2019-03-05 1.1.3
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Package coca (with last version 1.1.0) was removed from CRAN

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2020-07-06 1.1.0
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2020-11-24 0.1.3

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2024-06-19 0.2.2

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2018-04-09 1.0

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Package ActFrag (with last version 0.1.2) was removed from CRAN

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2026-01-18 0.1.2
2020-02-11 0.1.1
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Package adept (with last version 1.2) was removed from CRAN

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2019-06-18 1.1.2
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Package RWmisc (with last version 0.1.2) was removed from CRAN

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Package kpodclustr (with last version 1.1) was removed from CRAN

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2020-06-24 1.1

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2020-06-01 2.1
2018-09-20 2.0
2017-11-20 1.0

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Package symengine updated to version 0.2.13 with previous version 0.2.11 dated 2026-03-04

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

Diff between symengine versions 0.2.11 dated 2026-03-04 and 0.2.13 dated 2026-06-11

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Package restfulr updated to version 0.0.17 with previous version 0.0.16 dated 2025-06-27

Title: R Interface to RESTful Web Services
Description: Models a RESTful service as if it were a nested R list.
Author: Michael Lawrence [aut, cre]
Maintainer: Michael Lawrence <lawremi@gmail.com>

Diff between restfulr versions 0.0.16 dated 2025-06-27 and 0.0.17 dated 2026-06-11

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Package nlmixr2plot updated to version 5.0.2 with previous version 5.0.1 dated 2026-02-28

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package distributional updated to version 0.7.1 with previous version 0.7.0 dated 2026-03-17

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between distributional versions 0.7.0 dated 2026-03-17 and 0.7.1 dated 2026-06-11

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

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2019-12-09 0.1.1
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2020-04-23 0.1.0

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2019-10-20 0.1.0

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2020-07-16 1.1.0
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2020-02-20 1.0.0

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2026-06-04 2.0.4
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2024-08-27 1.2.1
2023-11-29 1.2.0
2023-10-23 1.1.0
2023-09-30 1.0.3
2023-09-20 1.0.1
2022-11-14 0.1.1

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2020-06-25 0.1.0

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2020-06-07 0.3.0
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2020-06-30 0.1.0

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2020-03-31 1.8
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2017-04-28 1.5
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2016-04-18 1.3
2016-01-21 1.2
2015-11-26 1.1
2015-10-28 1.0

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2020-09-01 1.1.3
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2021-02-11 1.0-2

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2020-04-28 0.1.0

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2019-10-25 0.1.2

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2020-05-24 1.0.9
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2017-08-14 1.0-5
2017-07-18 1.0-4
2017-04-25 1.0-3
2016-09-22 1.0-1
2016-09-07 1.0-0

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2020-07-06 1.0.4
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Package RaceID (with last version 0.4.0) was removed from CRAN

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2026-02-23 0.4.0
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2024-10-26 0.3.6
2024-04-03 0.3.5
2024-01-08 0.3.4
2023-09-28 0.3.3
2023-08-10 0.3.2
2023-07-17 0.3.1
2023-03-13 0.3.0
2023-03-01 0.2.9
2022-11-16 0.2.8
2022-11-01 0.2.7

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