Function reference • distionary

All functions
`aggregate_weights()`	Aggregate discrete values
`eval_cdf()` `enframe_cdf()`	Cumulative Distribution Function
`eval_chf()` `enframe_chf()`	Cumulative Hazard Function
`dst_degenerate()` `is_degenerate()` `is.degenerate()`	Make a Degenerate Distribution
`eval_density()` `enframe_density()`	Probability Density Function
`directional_inverse()`	Algorithm to Compute a Directional Inverse
`next_discrete_finite()` `prev_discrete_finite()` `next_discrete_natural()` `prev_discrete_natural()`	Helper functions for finding discrete values
`next_discrete()` `prev_discrete()` `num_discretes()` `has_infinite_discretes()`	Probing discrete values in a distribution
`is_distribution()` `is.distribution()` `distribution()`	Distribution Objects
`.quantities`	Specific Formulas for Quantities
`dst_bern()`	Bernoulli Distribution
`dst_beta()`	Beta Distribution
`dst_binom()`	Binomial Distribution
`dst_cauchy()`	Cauchy Distribution
`dst_chisq()`	Chi-squared Distribution
`dst_empirical()`	Create an Empirical Distribution
`dst_exp()`	Exponential Distribution
`dst_f()`	F Distribution
`dst_finite()`	Create a Finite Distribution
`dst_gamma()`	Gamma Distribution
`dst_geom()`	Geometric Distribution
`dst_gev()`	Generalized Extreme Value Distribution
`dst_gpd()`	Generalized Pareto Distribution
`dst_hyper()`	Hypergeometric Distribution
`dst_lnorm()`	Log Normal Distribution
`dst_nbinom()`	Negative binomial Distribution
`dst_norm()`	Normal (Gaussian) Distribution
`dst_parametric()`	Convert p/d/q/r Representations to a Distribution
`dst_pois()`	Poisson Distribution
`dst_t()`	The Student t Distribution
`dst_unif()`	Uniform Distribution
`dst_weibull()`	Weibull Distribution
`encapsulate_p()`	Find a range of possible outcomes
`enframe_general()`	Enframe a distributional representation's evaluation
`eval_quantile_from_cdf()`	Evaluate Quantiles from a CDF
`evi()`	Extreme Value Index
`prob_left()` `prob_right()`	Find the probability left or right of a number
`pgev()` `qgev()` `dgev()`	Representations of the Generalized Extreme Value Distribution
`gev_t_function()`	't()' function for calculating GEV quantities
`pgpd()` `qgpd()` `dgpd()`	Representations of the Generalized Pareto Distribution
`eval_hazard()` `enframe_hazard()`	Hazard Function
`is.empirical()` `is_empirical()` `is_finite_dst()` `is.finite_dst()`	Is a distribution a finite distribution?
`kurtosis_raw()` `kurtosis_exc()` `mean(<dst>)` `median(<dst>)` `skewness()` `stdev()` `variance()`	Moments of a Distribution
`narrow_by_discretes()`	Narrow a range of possible values by a discrete
`new_distribution()`	Constructor Function for "dst" Objects
`new_finite()`	Constructor Function for Finite Distributions
`new_parametric()`	Constructor Function for "parametric" distribution Objects
`eval_odds()` `enframe_odds()`	Odds Function
`parameters()`	Parameters of a Distribution
`is_parametric()` `is.parametric()`	Parametric Distribution Objects
`pdq_functions_exist()`	Are there p/d/q functions available?
`plot(<dst>)`	Plot a Distribution
`eval_pmf()` `enframe_pmf()`	Probability Mass Function
`eval_quantile()` `enframe_quantile()`	Distribution Quantiles
`quantity_parametric()`	Grab a quantity from the database
`range(<finite>)` `range(<dst>)`	Range of Distribution
`realise()` `realize()` `observe()`	Generate a Sample from a Distribution
`representation_as_function()`	Get a distribution's representation as a function
`eval_survival()` `enframe_survival()`	Survival Function
`variable()`	Random Variable of a Distribution

Reference

All functions