sens_norm

Expands (<code>sd_mult &gt; 1</code>) or reduces (<code>sd_mult &lt; 1</code>) the standard deviation
of the Normal distribution without changing the mean.

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_norm function

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

Arguments

Adjust Normal Distribution Parameters for Sensitivity Analyses — sens_norm

<dl>

<dt>mean</dt>
<dd>A numeric vector of the means.</dd>


<dt>sd</dt>
<dd>A non-negative numeric vector of the standard deviations.</dd>


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

</dl>

sens_norm: Adjust Normal Distribution Parameters for Sensitivity Analyses

Description

Usage

Value

Arguments

See Also

Examples