distionary0.1.0 package

Create and Evaluate Probability Distributions

aggregate_weights

Aggregate discrete values

cdf

Cumulative Distribution Function

chf

Cumulative Hazard Function

density

Probability Density Function

distionary-package

distionary: Create and Evaluate Probability Distributions

distribution

Distribution Objects

dst_bern

Bernoulli Distribution

dst_beta

Beta Distribution

dst_binom

Binomial Distribution

dst_cauchy

Cauchy Distribution

dst_chisq

Chi-Squared Distribution

dst_degenerate

Degenerate Distribution

dst_empirical

Empirical Distribution

dst_exp

Exponential Distribution

dst_f

F Distribution

dst_finite

Finite Distribution

dst_gamma

Gamma Distribution

dst_geom

Geometric Distribution

dst_gev

Generalised Extreme Value Distribution

dst_gp

Generalised Pareto Distribution

dst_hyper

Hypergeometric Distribution

dst_lnorm

Log Normal Distribution

dst_lp3

Log Pearson Type III distribution

dst_nbinom

Negative binomial Distribution

dst_norm

Normal (Gaussian) Distribution

dst_null

Null Distribution

dst_pearson3

Pearson Type III distribution

dst_pois

Poisson Distribution

dst_t

Student t Distribution

dst_unif

Uniform Distribution

dst_weibull

Weibull Distribution

eval_property

Evaluate a distribution

flexible_cdf

Find the probability left or right of a number

gev_raw

Representations of the Generalized Extreme Value Distribution

gp_raw

Representations of the Generalized Pareto Distribution

hazard

Hazard Function

median.dst

Median of a Distribution

moments

Moments of a Distribution

odds

Odds Function

parameters

Parameters of a Distribution

plot.dst

Plot a Distribution

pmf

Probability Mass Function

pretty_name

Distribution name

quantile

Distribution Quantiles

range

Range of Distribution

realise

Generate a Sample from a Distribution

return

Return Level Function

survival

Survival Function

vtype

Variable Type of a Distribution

Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.

  • Maintainer: Vincenzo Coia
  • License: MIT + file LICENSE
  • Last published: 2025-12-01