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 Documentation: Downloads: Reverse dependencies: Reverse imports: beastt, echos, epiparameter, fable, fable.ata, fable.prophet, fableCount, fabletools, ggdist, multiverse, posterior, TOSTER, vital Reverse suggests: cfr, gratia, grattanInflators, marginaleffects, parameters, tidybayes Linking:Please use the canonical form https://CRAN.R-project.org/package=distributional to link to this page.
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