dgammapois

Data follow the Poisson distribution parameterized by a mean parameter
that follows a gamma distribution.

Multivariate Gaussian mixture model with a determinant point
process prior to promote the discovery of parsimonious components from
observed data. See Xu, Mueller, Telesca (2016) <doi:10.1111/biom.12482>.

David H. Shih

dppmix

Determinantal Point Process Mixture Models

Yanxun Xu

Peter Mueller

Donatello Telesca

dgammapois function

<dl><dt>x</dt>
<dd>vector of x values</dd>
<dt>a</dt>
<dd>shape parameter for gamma distribution on mean parameter</dd>
<dt>b</dt>
<dd>rate parameter for gamma distribution on mean parameter</dd>
<dt>log</dt>
<dd>whether to return the density in log scale</dd></dl>

Arguments

Density function for Gamma-Poisson distribution. — dgammapois

<dl>

<dt>x</dt>
<dd>vector of x values</dd>


<dt>a</dt>
<dd>shape parameter for gamma distribution on mean parameter</dd>


<dt>b</dt>
<dd>rate parameter for gamma distribution on mean parameter</dd>


<dt>log</dt>
<dd>whether to return the density in log scale</dd>

</dl>

dgammapois: Density function for Gamma-Poisson distribution.

Description

Usage

Value

Arguments