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:Mitchell O'Hara-Wild [aut, cre], Matthew Kay [aut], Alex Hayes [aut], Rob Hyndman [aut], Earo Wang [ctb], Vencislav Popov [ctb]

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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'))

Peer review:

Bug tracker:https://github.com/mitchelloharawild/distributional/issues

On CRAN:

probability-distributionstatisticsvctrs

13.50 score 99 stars 362 packages 756 scripts 78k downloads 61 exports 10 dependencies

Last updated 8 days agofrom:683b96e309. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winERRORNov 14 2024
R-4.5-linuxERRORNov 14 2024
R-4.4-winERRORNov 14 2024
R-4.4-macERRORNov 14 2024
R-4.3-winERRORNov 14 2024
R-4.3-macERRORNov 14 2024

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:clifansigenericsgluelifecyclenumDerivpillarrlangutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
The cumulative distribution functioncdf cdf.distribution
Covariancecovariance
Covariance of a probability distributioncovariance.distribution
The probability density/mass functiondensity.distribution
The Bernoulli distributiondist_bernoulli
The Beta distributiondist_beta
The Binomial distributiondist_binomial
The Burr distributiondist_burr
The Categorical distributiondist_categorical
The Cauchy distributiondist_cauchy
The (non-central) Chi-Squared Distributiondist_chisq
The degenerate distributiondist_degenerate
The Exponential Distributiondist_exponential
The F Distributiondist_f
The Gamma distributiondist_gamma
The Geometric Distributiondist_geometric
The Generalized Extreme Value Distributiondist_gev
The generalised g-and-h Distributiondist_gh
The g-and-k Distributiondist_gk
The Generalized Pareto Distributiondist_gpd
The Gumbel distributiondist_gumbel
The Hypergeometric distributiondist_hypergeometric
Inflate a value of a probability distributiondist_inflated
The Inverse Exponential distributiondist_inverse_exponential
The Inverse Gamma distributiondist_inverse_gamma
The Inverse Gaussian distributiondist_inverse_gaussian
The Logarithmic distributiondist_logarithmic
The Logistic distributiondist_logistic
The log-normal distributiondist_lognormal
Missing distributiondist_missing
Create a mixture of distributionsdist_mixture
The Multinomial distributiondist_multinomial
The multivariate normal distributiondist_multivariate_normal
The Negative Binomial distributiondist_negative_binomial
The Normal distributiondist_normal
The Pareto distributiondist_pareto
Percentile distributiondist_percentile
The Poisson Distributiondist_poisson
The Poisson-Inverse Gaussian distributiondist_poisson_inverse_gaussian
Sampling distributiondist_sample
The (non-central) location-scale Student t Distributiondist_student_t
The Studentized Range distributiondist_studentized_range
Modify a distribution with a transformationdist_transformed
Truncate a distributiondist_truncated
The Uniform distributiondist_uniform
The Weibull distributiondist_weibull
Create a distribution from p/d/q/r style functionsdist_wrap
Extract the name of the distribution familyfamily.distribution
Randomly sample values from a distributiongenerate.distribution
Compute highest density regionshdr
Highest density regions of probability distributionshdr.distribution
Compute intervalshilo
Probability intervals of a probability distributionhilo.distribution
Test if the object is a distributionis_distribution
Is the object a hdris_hdr
Is the object a hilois_hilo
Kurtosis of a probability distributionkurtosis kurtosis.distribution
The (log) likelihood of a sample matching a distributionlikelihood likelihood.distribution log_likelihood
Mean of a probability distributionmean.distribution
Median of a probability distributionmedian.distribution
Create a new distributionnew_dist
Construct hdr intervalsnew_hdr
Construct hilo intervalsnew_hilo
Create a new support region vectornew_support_region
Extract the parameters of a distributionparameters parameters.distribution
Distribution Quantilesquantile.distribution
Skewness of a probability distributionskewness skewness.distribution
Region of support of a distributionsupport support.distribution
Variancecovariance.numeric variance variance.matrix variance.numeric
Variance of a probability distributionvariance.distribution