Dirichlet

ddirichlet

rdirichlet

\(k\)-values vector or \(k\)-column matrix;
concentration parameter. Must be positive.

alpha

logical; if TRUE, probabilities p are given as log(p).

number of observations. If <code>length(n) &gt; 1</code>,
the length is taken to be the number required.

Density function, cumulative distribution function and random generation
for the Dirichlet distribution.

distribution

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.

Tymoteusz Wolodzko

extraDistr

Additional Univariate and Multivariate Distributions

Dirichlet function

<dl><dt>x</dt>
<dd>\(k\)-column matrix of quantiles.</dd>
<dt>alpha</dt>
<dd>\(k\)-values vector or \(k\)-column matrix;
concentration parameter. Must be positive.</dd>
<dt>log</dt>
<dd>logical; if TRUE, probabilities p are given as log(p).</dd>
<dt>n</dt>
<dd>number of observations. If <code>length(n) &gt; 1</code>,
the length is taken to be the number required.</dd></dl>

Arguments

Dirichlet distribution — Dirichlet

<dl>

<dt>x</dt>
<dd>\(k\)-column matrix of quantiles.</dd>


<dt>alpha</dt>
<dd>\(k\)-values vector or \(k\)-column matrix;
concentration parameter. Must be positive.</dd>


<dt>log</dt>
<dd>logical; if TRUE, probabilities p are given as log(p).</dd>


<dt>n</dt>
<dd>number of observations. If <code>length(n) &gt; 1</code>,
the length is taken to be the number required.</dd>

</dl>

Dirichlet: Dirichlet distribution

Description

Usage

Arguments

Details

References

Examples