mvgamma

lmvgamma

The multivariate Gamma function (<code>mvgamma</code>) and
 its logarithm (<code>lmvgamma</code>).

Evaluates the hypergeometric functions of a matrix argument,
which appear in random matrix theory. This is an implementation of
Koev & Edelman's algorithm (2006) <doi:10.1090/S0025-5718-06-01824-2>.

Stc3<a9>phane Laurent

HypergeoMat

Hypergeometric Function of a Matrix Argument

mvgamma function

<dl><dt>x</dt>
<dd>a real or a complex number; <code>Re(x)&gt;0</code> for <code>lmvgamma</code> and
<code>x</code> must not be a negative integer for <code>mvgamma</code></dd>
<dt>p</dt>
<dd>a positive integer, the dimension</dd></dl>

Arguments

Multivariate Gamma function (of complex variable) — mvgamma

<dl>

<dt>x</dt>
<dd>a real or a complex number; <code>Re(x)&gt;0</code> for <code>lmvgamma</code> and
<code>x</code> must not be a negative integer for <code>mvgamma</code></dd>


<dt>p</dt>
<dd>a positive integer, the dimension</dd>

</dl>

mvgamma: Multivariate Gamma function (of complex variable)

Description

Usage

Value

Arguments

Examples