ddirichlet_cpp

This function computes the density of a Dirichlet distribution.

internal

Some general helper functions that I and maybe others find useful
when developing data science software. Functionality includes argument
validation, density calculation, sampling, matrix printing, user
interaction, storage helpers and more. The vignettes illustrate use cases.

Lennart Oelschläger

oeli

My Utilities for Developing Data Science Software

ddirichlet_cpp function

<dl><dt>x</dt>
<dd>A <code>numeric</code>, a weight vector of length <code>p</code>.
Each vector element must be between <code>0</code> and <code>1</code>.
The sum of the vector elements must be <code>1</code>.</dd>
<dt>concentration</dt>
<dd>A <code>numeric</code>, the concentration vector of length <code>p</code>.</dd>
<dt>log</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> the logarithm of the density value is
returned.
By default, <code>log = FALSE</code>.</dd></dl>

Arguments

Compute density of Dirichlet distribution — ddirichlet_cpp

<dl>

<dt>x</dt>
<dd>A <code>numeric</code>, a weight vector of length <code>p</code>.
Each vector element must be between <code>0</code> and <code>1</code>.
The sum of the vector elements must be <code>1</code>.</dd>


<dt>concentration</dt>
<dd>A <code>numeric</code>, the concentration vector of length <code>p</code>.</dd>


<dt>log</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> the logarithm of the density value is
returned.
By default, <code>log = FALSE</code>.</dd>

</dl>

ddirichlet_cpp: Compute density of Dirichlet distribution

Description

Usage

Value

Arguments

Details