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: 0.1.0
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
Published: 2020-06-09
Author: Mitchell O'Hara-Wild ORCID iD [aut, cre], Earo Wang 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
CRAN checks: distributional results


Reference manual: distributional.pdf
Package source: distributional_0.1.0.tar.gz
Windows binaries: r-devel: distributional_0.1.0.zip, r-release: distributional_0.1.0.zip, r-oldrel: distributional_0.1.0.zip
macOS binaries: r-release: distributional_0.1.0.tgz, r-oldrel: distributional_0.1.0.tgz

Reverse dependencies:

Reverse imports: fable, fabletools, ggdist


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