#rstats is an active hashtag on Bluesky. In the last 30 days, 224 people shared 2,260 posts with it — around 75 a day. Activity is up 2% versus the previous week, peaking on Aug 4 with 125 posts.
Tags most often used together with #rstats.
www.tidyverse.org
ggplot2 4.0.0
A new major version of ggplot2 has been released on CRAN. Find out what is new here.
ngreifer.github.io
Weighting for Covariate Balance in Observational Studies
Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality ...
tidyverse.org
dplyr 1.2.0
dplyr 1.2.0 fills in some important gaps in dplyr's API: we've added a new complement to `filter()` focused on dropping rows, and we've expanded the `case_when()` family with three new recoding and re...
cran.r-project.org
CRAN: Package PoultryEconR
Provides tools for poultry production and economic analysis. The package calculates feed conversion ratio (FCR), hen-day egg production (HDEP), hen-housed egg production (HHEP), cost per egg, profit per bird, mortality percentage, and an overall efficiency score based on predefined performance benchmarks. The results can optionally be exported to an Excel workbook and visualized using a bar chart.
cran.r-project.org
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https://cran.r-project.org/package=nhsbsa
cran.r-project.org
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https://cran.r-project.org/package=HeatStressR
cran.r-project.org
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https://cran.r-project.org/package=epidesc
serve.podhome.fm
Issue 2026-W32 Highlights
Orchestrating multiple package quality checking frameworks all within a single R package, and how learning in the world of AI has fundamentally shifted…
cran.r-project.org
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https://cran.r-project.org/package=MultiStepSSAD
cran.r-project.org
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https://cran.r-project.org/package=gpciProgTyIIImpSam
cran.r-project.org
CRAN: Package gbif.range
Provides a workflow to retrieve, filter, and analyze 'GBIF' occurrence records and to generate ecologically informed species range maps using downloaded or custom ecoregions. The package includes tools for querying the 'GBIF' backbone taxonomy with get_status(), counting or downloading occurrences with get_gbif_count() and get_gbif(), creating custom ecoregion layers with make_ecoreg(), building range maps with get_range(), and evaluating them against independent validation data with evaluate_range() and cv_range(). A disk-based batch workflow (split_gbif_by_species(), species_csvs_to_ranges(), read_range_rds()) supports large multi-species 'GBIF' exports without loading the full table into memory. Bundled ecoregion layers cover terrestrial (Olson et al. 2001 <<a href="https://doi.org/10.1641%2F0006-3568%282001%29051%5B0933%3ATEOTWA%5D2.0.CO%3B2" target="_top">doi:10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2</a>>), marine (Spalding et al. 2007 <<a href="https://doi.org/10.1641%2FB570707" target="_top">doi:10.1641/B570707</a>>), and freshwater (Abell et al. 2008 <<a href="https://doi.org/10.1641%2FB580507" target="_top">doi:10.1641/B580507</a>>) realms. The 'GBIF' API is accessed via the 'rgbif' package, and coordinate cleaning uses 'CoordinateCleaner' (Zizka et al. 2019 <<a href="https://doi.org/10.1111%2F2041-210X.13152" target="_top">doi:10.1111/2041-210X.13152</a>>). The 'GBIF' API is described at <<a href="https://www.gbif.org/developer/summary" target="_top">https://www.gbif.org/developer/summary</a>>.
cran.r-project.org
CRAN: Package falsifyr
Attacks fitted R model claims by searching for small plausible perturbations that make a target result disappear. The package focuses on claim-level fragility, smallest-kill reporting, and reproducible caveated robustness checks for ordinary fitted model objects. The methods draw on the fragility-index concept of Walsh et al. (2014) <<a href="https://doi.org/10.1016%2Fj.jclinepi.2013.10.019" target="_top">doi:10.1016/j.jclinepi.2013.10.019</a>>, multiverse analysis of Steegen et al. (2016) <<a href="https://doi.org/10.1177%2F1745691616658637" target="_top">doi:10.1177/1745691616658637</a>>, specification-curve analysis of Simonsohn et al. (2020) <<a href="https://doi.org/10.1038%2Fs41562-020-0912-z" target="_top">doi:10.1038/s41562-020-0912-z</a>>, and robust covariance estimation of Zeileis (2004) <<a href="https://doi.org/10.18637%2Fjss.v011.i10" target="_top">doi:10.18637/jss.v011.i10</a>>.
cran.r-project.org
CRAN: Package DepDoubleTruncKS
Performs the Kolmogorov-Smirnov-type goodness-of-fit test for exponential duration models under independent or dependently double-truncated sampling scheme using Farlie-Gumbel-Morgenstern ('FGM') copulas, as proposed by Toparkus and Weissbach (2026) <<a href="https://doi.org/10.1007%2Fs10985-026-09722-0" target="_top">doi:10.1007/s10985-026-09722-0</a>>. Provides functions for profile maximum likelihood estimation / score equation solving, computation of the two-dimensional Kolmogorov-Smirnov test statistic over the double-truncation parallelogram, simulation of the asymptotic Gaussian process limit distribution for critical values and p-value calculation, and synthetic dataset generation.
cran.r-project.org
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https://cran.r-project.org/package=TKApprox
cran.r-project.org
CRAN: Package statim
A declarative interface for statistical inference built on the S7 object system. The layouts of the statistical inference are described using expressive variable mappers, null hypotheses are stated as mathematical expressions over population parameters, and estimation is deferred until explicitly requested. Supports estimation method involving hypothesis testing and model-based inference with an extensible variant system for registering custom estimation methods.
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