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 + file LICENSE
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:

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