sens_exp

Expands (<code>sd_mult &gt; 1</code>) or reduces (<code>sd_mult &lt; 1</code>) the standard deviation
of the exponential distribution. Due to the parameterization of this
distribution, adjusting the standard deviation necessarily changes the mean
value.

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_exp function

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

Arguments

Adjust Exponential Distribution Parameters for Sensitivity Analyses — sens_exp

<dl>

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


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

</dl>

sens_exp: Adjust Exponential Distribution Parameters for Sensitivity Analyses

Description

Usage

Value

Arguments

See Also

Examples