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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.

Functions (67)

autoplot.distribution

Plot a distribution

cdf

The cumulative distribution function

density.distribution

The probability density/mass function

dist_bernoulli

The Bernoulli distribution

dist_beta

The Beta distribution

dist_binomial

The Binomial distribution

dist_burr

The Burr distribution

dist_cauchy

The Cauchy distribution

dist_chisq

The (non-central) Chi-Squared Distribution

dist_degenerate

The degenerate distribution

dist_exponential

The Exponential Distribution

dist_f

The F Distribution

dist_gamma

The Gamma distribution

dist_geometric

The Geometric Distribution

dist_gumbel

The Gumbel distribution

dist_hypergeometric

The Hypergeometric distribution

dist_inflated

Inflate a value of a probability distribution

dist_inverse_exponential

The Inverse Exponential distribution

dist_inverse_gamma

The Inverse Gamma distribution

dist_inverse_gaussian

The Inverse Gaussian distribution

dist_logarithmic

The Logarithmic distribution

dist_logistic

The Logistic distribution

dist_missing

Missing distribution

dist_mixture

Create a mixture of distributions

dist_multinomial

The Multinomial distribution

dist_multivariate_normal

The multivariate normal distribution

dist_negative_binomial

The Negative Binomial distribution

dist_normal

The Normal distribution

dist_pareto

The Pareto distribution

dist_percentile

Percentile distribution

dist_poisson

The Poisson Distribution

dist_poisson_inverse_gaussian

The Poisson-Inverse Gaussian distribution

dist_sample

Sampling distribution

dist_student_t

The (non-central) location-scale Student t Distribution

dist_studentized_range

The Studentized Range distribution

dist_transformed

Modify a distribution with a transformation

dist_truncated

Truncate a distribution

dist_uniform

The Uniform distribution

dist_weibull

The Weibull distribution

dist_wrap

Create a distribution from p/d/q/r style functions

distributional-package

distributional: Vectorised Probability Distributions

generate.distribution

Randomly sample values from a distribution

geom_hilo_linerange

Line ranges for hilo intervals

geom_hilo_ribbon

Ribbon plots for hilo intervals

guide-helpers

Helper methods for guides

guide_level

Level shade bar guide

hdr

Compute highest density regions

hdr.distribution

Highest density regions of probability distributions

hilo

Compute intervals

hilo.distribution

Probability intervals of a probability distribution

is-distribution

Test if the object is a distribution

is_hdr

Is the object a hdr

is_hilo

Is the object a hilo

kurtosis

Kurtosis of a probability distribution

likelihood

The (log) likelihood of a sample matching a distribution

mean.distribution

Mean of a probability distribution

median.distribution

Median of a probability distribution

new_dist

Create a new distribution

new_hdr

Construct hdr intervals

new_hilo

Construct hilo intervals

quantile.distribution

Distribution Quantiles

reexports

Objects exported from other packages

scale_hilo_continuous

Hilo interval scales

scale_level

level luminance scales

skewness

Skewness of a probability distribution

variance

Variance

variance.distribution

Variance of a probability distribution

distributional

Vectorised Probability Distributions

v0.2.2

GPL-3

Authors

Mitchell O'Hara-Wild [aut, cre] (<https://orcid.org/0000-0001-6729-7695>), Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>), Matthew Kay [ctb] (<https://orcid.org/0000-0001-9446-0419>), Alex Hayes [aut] (<https://orcid.org/0000-0002-4985-5160>)

Initial release

distributional

Functions (67)

distributional

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