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: |
0.3.0 |
Imports: |
vctrs (≥ 0.3.0), rlang (≥ 0.4.5), generics, ellipsis, stats, numDeriv, ggplot2, scales, farver, digest, utils, lifecycle |
Suggests: |
testthat (≥ 2.1.0), covr, mvtnorm, actuar (≥ 2.0.0), ggdist |
Published: |
2022-01-05 |
Author: |
Mitchell O'Hara-Wild
[aut, cre],
Matthew Kay [aut],
Alex Hayes [aut],
Earo Wang [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:
Downloads:
Reverse dependencies:
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