distionary: Create and Evaluate Probability Distributions

Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	checkmate, ellipsis, rlang, stats, vctrs
Suggests:	covr, knitr, rmarkdown, testthat (≥ 3.0.0), tibble
Published:	2025-12-01
DOI:	10.32614/CRAN.package.distionary
Author:	Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer:	Vincenzo Coia <vincenzo.coia at gmail.com>
BugReports:	https://github.com/probaverse/distionary/issues
License:	MIT + file LICENSE
URL:	https://distionary.probaverse.com/, https://github.com/probaverse/distionary
NeedsCompilation:	no
Materials:	README, NEWS
In views:	Distributions
CRAN checks:	distionary results

Documentation:

Reference manual:	distionary.html , distionary.pdf
Vignettes:	Evaluate a Distribution (source, R code) Built-In Distributions (source, R code) Specifying Your Own Distribution (source, R code)

Downloads:

Package source:	distionary_0.1.0.tar.gz
Windows binaries:	r-devel: distionary_0.1.0.zip, r-release: distionary_0.1.0.zip, r-oldrel: distionary_0.1.0.zip
macOS binaries:	r-release (arm64): distionary_0.1.0.tgz, r-oldrel (arm64): distionary_0.1.0.tgz, r-release (x86_64): distionary_0.1.0.tgz, r-oldrel (x86_64): distionary_0.1.0.tgz

Reverse dependencies:

Reverse imports:

distplyr, famish, probaverse

Linking:

Please use the canonical form https://CRAN.R-project.org/package=distionary to link to this page.