ran_gamma_pois

Functions to 'numericise' 'R' objects (coerce to numeric
objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and
calculate deviance residuals as well as 'R' translations of some
'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs
Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.

Joe Thorley

extras

Helper Functions for Bayesian Analyses

Kirill Müller

Nadine Hussein

Poisson Consulting 

ran_gamma_pois function

<dl><dt>n</dt>
<dd>A non-negative whole number of the number of random samples to generate.</dd>
<dt>lambda</dt>
<dd>A non-negative numeric vector of means.</dd>
<dt>theta</dt>
<dd>A non-negative numeric vector of the dispersion parameters for the gamma mixing distribution. The variance for the resultant gamma-Poisson distribution is lambda + lambda^2 * theta.</dd></dl>

Arguments

Gamma-Poisson Random Samples — ran_gamma_pois

<dl>

<dt>n</dt>
<dd>A non-negative whole number of the number of random samples to generate.</dd>


<dt>lambda</dt>
<dd>A non-negative numeric vector of means.</dd>


<dt>theta</dt>
<dd>A non-negative numeric vector of the dispersion parameters for the gamma mixing distribution. The variance for the resultant gamma-Poisson distribution is lambda + lambda^2 * theta.</dd>

</dl>

ran_gamma_pois: Gamma-Poisson Random Samples

Description

Usage

Value

Arguments

See Also

Examples