sens_neg_binom

Expands (<code>sd_mult &gt; 1</code>) the standard deviation of the Negative Binomial
distribution. This function does not currently have the option to reduce the
standard deviation.

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.

Nicole Hill

extras

Helper Functions for Bayesian Analyses

Joe Thorley

Kirill Müller

Nadine Hussein

Poisson Consulting 

sens_neg_binom function

<dl><dt>lambda</dt>
<dd>A non-negative numeric vector of means.</dd>
<dt>theta</dt>
<dd>A non-negative numeric vector of the dispersion for the mixture
models (student, gamma-Poisson and beta-binomial).</dd>
<dt>sd_mult</dt>
<dd>A non-negative multiplier on the standard deviation of the
distribution.</dd></dl>

Arguments

Adjust Negative Binomial Distribution Parameters for Sensitivity Analyses — sens_neg_binom

<dl>

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


<dt>theta</dt>
<dd>A non-negative numeric vector of the dispersion for the mixture
models (student, gamma-Poisson and beta-binomial).</dd>


<dt>sd_mult</dt>
<dd>A non-negative multiplier on the standard deviation of the
distribution.</dd>

</dl>

sens_neg_binom: Adjust Negative Binomial Distribution Parameters for Sensitivity Analyses

Description

Usage

Value

Arguments

See Also

Examples