distributional: Vectorised Probability Distributions

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.

Version: 0.5.0
Imports: vctrs (≥ 0.3.0), rlang (≥ 0.4.5), generics, stats, numDeriv, utils, lifecycle, pillar
Suggests: testthat (≥ 2.1.0), covr, mvtnorm, actuar (≥ 2.0.0), evd, ggdist, ggplot2, gk
Published: 2024-09-17
DOI: 10.32614/CRAN.package.distributional
Author: Mitchell O'Hara-Wild ORCID iD [aut, cre], Matthew Kay ORCID iD [aut], Alex Hayes ORCID iD [aut], Rob Hyndman ORCID iD [aut], Earo Wang ORCID iD [ctb], Vencislav Popov ORCID iD [ctb]
Maintainer: Mitchell O'Hara-Wild <mail at mitchelloharawild.com>
BugReports: https://github.com/mitchelloharawild/distributional/issues
License: GPL-3
URL: https://pkg.mitchelloharawild.com/distributional/, https://github.com/mitchelloharawild/distributional
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
In views: Distributions
CRAN checks: distributional results

Documentation:

Reference manual: distributional.pdf

Downloads:

Package source: distributional_0.5.0.tar.gz
Windows binaries: r-devel: distributional_0.5.0.zip, r-release: distributional_0.5.0.zip, r-oldrel: distributional_0.5.0.zip
macOS binaries: r-release (arm64): distributional_0.5.0.tgz, r-oldrel (arm64): distributional_0.5.0.tgz, r-release (x86_64): distributional_0.5.0.tgz, r-oldrel (x86_64): distributional_0.5.0.tgz
Old sources: distributional archive

Reverse dependencies:

Reverse imports: beastt, fable, fable.ata, fable.prophet, fableCount, fabletools, ggdist, multiverse, posterior, TOSTER, vital
Reverse suggests: cfr, gratia, grattanInflators, marginaleffects, tidybayes

Linking:

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