Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions.
Maintainer: Sigbert Klinke sigbert@wiwi.hu-berlin.de
Authors:
Tymoteusz Wolodzko twolodzko+extradistr@gmail.com
This package follows naming convention that is consistent with base R,
where density (or probability mass) functions, distribution functions,
quantile functions and random generation functions names are followed by
d*, p*, q*, and r* prefixes.
Behaviour of the functions is consistent with base R, where for
not valid parameters values NaN's are returned, while
for values beyond function support 0's are returned
(e.g. for non-integers in discrete distributions, or for
negative values in functions with non-negative support).
All the functions vectorized and coded in C++ using Rcpp.
Useful links: