extraDistr-package: extraDistr: Additional Univariate and Multivariate...
In extraDistr: Additional Univariate and Multivariate Distributions
extraDistr-package R Documentation
extraDistr: Additional Univariate and Multivariate Distributions
Description
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.
Details
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.
See Also
Useful links:
extraDistr documentation built on May 29, 2024, 9:31 a.m.
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| extraDistr-package | R Documentation |
extraDistr: Additional Univariate and Multivariate Distributions
Description
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.
Details
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.
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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