sens_gamma_pois_zi

Expands (<code>sd_mult &gt; 1</code>) or reduces (<code>sd_mult &lt; 1</code>) the standard deviation
of the Zero-Inflated Gamma-Poisson distribution.

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_gamma_pois_zi 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>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of
success.</dd>
<dt>sd_mult</dt>
<dd>A non-negative multiplier on the standard deviation of the
distribution.</dd></dl>

Arguments

Adjust Zero-Inflated Gamma-Poisson Distribution Parameters for Sensitivity Analyses — sens_gamma_pois_zi

<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>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of
success.</dd>


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

</dl>

sens_gamma_pois_zi: Adjust Zero-Inflated Gamma-Poisson Distribution Parameters for Sensitivity Analyses

Description

Usage

Value

Arguments

See Also

Examples