lmvgamma_deriv

Derivative of Log of Multivariate Gamma Function - Gamma_p(a)

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation
and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for
scalability. 'fido' replaces the previous package 'stray'.

Michelle Nixon

fido

Bayesian Multinomial Logistic Normal Regression

Justin Silverman

Kim Roche

lmvgamma_deriv function

<dl><dt>a</dt>
<dd>defined by Gamma_p(a)</dd>
<dt>p</dt>
<dd>defined by Gamma_p(a)</dd></dl>

Arguments

Derivative of Log of Multivariate Gamma Function - Gamma_p(a) — lmvgamma_deriv

<dl>

<dt>a</dt>
<dd>defined by Gamma_p(a)</dd>


<dt>p</dt>
<dd>defined by Gamma_p(a)</dd>

</dl>

lmvgamma_deriv: Derivative of Log of Multivariate Gamma Function - Gamma_p(a)

Description

Usage

Value

Arguments

References