lmgamma {Boom} | R Documentation |
Log Multivariate Gamma Function
Description
Returns the log of the multivariate gamma function.
Usage
lmgamma(y, dimension)
Arguments
y |
The function argument, which must be a positive scalar. |
dimension |
The dimension of the multivariate gamma function, which must be an integer >= 1. |
Details
The multivariate gamma function is
\Gamma_p(y) = \pi^{p(p-1)/4} \prod_{j =1}^p \Gamma(y + (1-j)/2).
The multivariate gamma function shows up as part of the normalizing constant for the Wishart and inverse Wishart distributions.
Value
Returns the log of the multivariate gamma function. Note that
this function is not vectorized. Both y
and dimension
must be scalars, and the return value is a scalar.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
[Package Boom version 0.9.15 Index]