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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 [aut, cre], Matthew Kay [aut], Alex Hayes [aut], Rob Hyndman [aut], Earo Wang [ctb], Vencislav Popov [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 |
Reference manual: | distributional.pdf |
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 imports: | beastt, fable, fable.ata, fable.prophet, fableCount, fabletools, ggdist, multiverse, posterior, TOSTER, vital |
Reverse suggests: | cfr, gratia, grattanInflators, marginaleffects, parameters, tidybayes |
Please use the canonical form https://CRAN.R-project.org/package=distributional to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.