## Methods

Methods for interacting with distributions.

density(<distribution>)

The probability density/mass function

cdf()

The cumulative distribution function

generate(<distribution>)

Randomly sample values from a distribution

quantile(<distribution>)

Distribution Quantiles

likelihood() log_likelihood()

The (log) likelihood of a sample matching a distribution

hilo(<distribution>)

Probability intervals of a probability distribution

hilo()

Compute intervals

is_hilo()

Is the object a hilo

hdr(<distribution>)

Highest density regions of probability distributions

hdr()

Compute highest density regions

is_hdr()

Is the object a hdr

support()

Region of support of a distribution

family(<distribution>)

Extract the name of the distribution family

parameters()

Extract the parameters of a distribution

mean(<distribution>)

Mean of a probability distribution

median(<distribution>)

Median of a probability distribution

variance() covariance(<numeric>)

Variance

variance(<distribution>)

Variance of a probability distribution

covariance()

Covariance

covariance(<distribution>)

Covariance of a probability distribution

skewness()

Skewness of a probability distribution

kurtosis()

Kurtosis of a probability distribution

is_distribution()

Test if the object is a distribution

## Continuous distributions

Continuous probability distributions.

dist_beta()

The Beta distribution

dist_burr()

The Burr distribution

dist_cauchy()

The Cauchy distribution

dist_chisq()

The (non-central) Chi-Squared Distribution

dist_exponential()

The Exponential Distribution

dist_f()

The F Distribution

dist_gamma()

The Gamma distribution

dist_gumbel()

The Gumbel distribution

dist_hypergeometric()

The Hypergeometric distribution

dist_inverse_exponential()

The Inverse Exponential distribution

dist_inverse_gamma()

The Inverse Gamma distribution

dist_inverse_gaussian()

The Inverse Gaussian distribution

dist_logistic()

The Logistic distribution

dist_lognormal()

The log-normal distribution

dist_multivariate_normal()

The multivariate normal distribution

dist_normal()

The Normal distribution

dist_pareto()

The Pareto distribution

dist_student_t()

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

dist_studentized_range()

The Studentized Range distribution

dist_uniform()

The Uniform distribution

dist_weibull()

The Weibull distribution

## Discrete distributions

Discrete probability distributions.

dist_bernoulli()

The Bernoulli distribution

dist_binomial()

The Binomial distribution

dist_categorical()

The Categorical distribution

dist_geometric()

The Geometric Distribution

dist_logarithmic()

The Logarithmic distribution

dist_multinomial()

The Multinomial distribution

dist_negative_binomial()

The Negative Binomial distribution

dist_poisson()

The Poisson Distribution

dist_poisson_inverse_gaussian()

The Poisson-Inverse Gaussian distribution

## Miscellaneous distributions

Degenerate and non-standard probability distributions.

dist_degenerate()

The degenerate distribution

dist_missing()

Missing distribution

dist_percentile()

Percentile distribution

dist_sample()

Sampling distribution

dist_wrap()

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

## Distribution modifiers

Modifiers which change the nature of a distribution.

dist_inflated()

Inflate a value of a probability distribution

dist_mixture()

Create a mixture of distributions

dist_transformed()

Modify a distribution with a transformation

dist_truncated()

Truncate a distribution

## Object constructors

Constructor functions for developers to use in extending the package.

new_dist()

Create a new distribution

new_hilo()

Construct hilo intervals

new_hdr()

Construct hdr intervals

new_support_region()

Create a new support region vector