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distplyr: Manipulate and Combine Probability Distributions

Go beyond standard probability distributions such as the Normal or Exponential by combining, shifting, maximizing, and otherwise transforming distributions with simple, verb-based functions. Provides easy access to a broader space of distributions more representative of real-world systems such as river flows or insurance claims. Part of the probaverse framework of packages to support advanced statistical modeling and simulations with an intuitive workflow.

Version:0.2.0
Depends:R (≥ 3.5.0)
Imports:ellipsis,rlang,vctrs, stats,checkmate,distionary
Suggests:covr,knitr,rmarkdown,testthat (≥ 3.0.0),tibble
Published:2025-12-08
DOI:10.32614/CRAN.package.distplyr
Author:Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer:Vincenzo Coia <vincenzo.coia at gmail.com>
License:MIT + fileLICENSE
URL:https://distplyr.probaverse.com/,https://github.com/probaverse/distplyr
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:distplyr results

Documentation:

Reference manual:distplyr.html ,distplyr.pdf
Vignettes:Manipulating Distributions (source,R code)

Downloads:

Package source: distplyr_0.2.0.tar.gz
Windows binaries: r-devel:distplyr_0.2.0.zip, r-release:distplyr_0.2.0.zip, r-oldrel:distplyr_0.2.0.zip
macOS binaries: r-release (arm64):distplyr_0.2.0.tgz, r-oldrel (arm64):distplyr_0.2.0.tgz, r-release (x86_64):distplyr_0.2.0.tgz, r-oldrel (x86_64):distplyr_0.2.0.tgz

Reverse dependencies:

Reverse imports:probaverse

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=distplyrto link to this page.


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