Package: distributional 0.5.0.9000
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.
Authors:
distributional_0.5.0.9000.tar.gz
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distributional.pdf |distributional.html✨
distributional/json (API)
NEWS
# Install 'distributional' in R: |
install.packages('distributional', repos = c('https://mitchelloharawild.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mitchelloharawild/distributional/issues
Pkgdown site:https://pkg.mitchelloharawild.com
probability-distributionstatisticsvctrs
Last updated 16 days agofrom:9d88185758. Checks:1 OK, 6 ERROR. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 04 2025 |
R-4.5-win | ERROR | Jan 04 2025 |
R-4.5-linux | ERROR | Jan 04 2025 |
R-4.4-win | ERROR | Jan 04 2025 |
R-4.4-mac | ERROR | Jan 04 2025 |
R-4.3-win | ERROR | Jan 04 2025 |
R-4.3-mac | ERROR | Jan 04 2025 |
Exports:cdfcovariancedist_bernoullidist_betadist_binomialdist_burrdist_categoricaldist_cauchydist_chisqdist_degeneratedist_exponentialdist_fdist_gammadist_geometricdist_gevdist_ghdist_gkdist_gpddist_gumbeldist_hypergeometricdist_inflateddist_inverse_exponentialdist_inverse_gammadist_inverse_gaussiandist_logarithmicdist_logisticdist_lognormaldist_missingdist_mixturedist_multinomialdist_multivariate_normaldist_negative_binomialdist_normaldist_paretodist_percentiledist_poissondist_poisson_inverse_gaussiandist_sampledist_student_tdist_studentized_rangedist_transformeddist_truncateddist_uniformdist_weibulldist_wrapgeneratehdrhilois_distributionis_hdris_hilokurtosislikelihoodlog_likelihoodnew_distnew_hdrnew_hiloparametersskewnesssupportvariance
Dependencies:cligenericsgluelifecyclenumDerivpillarrlangutf8vctrs