res_lnorm

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 

res_lnorm function

<dl><dt>x</dt>
<dd>A numeric vector of values.</dd>
<dt>meanlog</dt>
<dd>A numeric vector of the means on the log scale.</dd>
<dt>sdlog</dt>
<dd>A non-negative numeric vector of the standard deviations on the
log scale.</dd>
<dt>type</dt>
<dd>A string of the residual type. 'raw' for raw residuals 'dev' for
deviance residuals and 'data' for the data.</dd>
<dt>simulate</dt>
<dd>A flag specifying whether to simulate residuals.</dd></dl>

Arguments

Log-Normal Residuals — res_lnorm

<dl>

<dt>x</dt>
<dd>A numeric vector of values.</dd>


<dt>meanlog</dt>
<dd>A numeric vector of the means on the log scale.</dd>


<dt>sdlog</dt>
<dd>A non-negative numeric vector of the standard deviations on the
log scale.</dd>


<dt>type</dt>
<dd>A string of the residual type. 'raw' for raw residuals 'dev' for
deviance residuals and 'data' for the data.</dd>


<dt>simulate</dt>
<dd>A flag specifying whether to simulate residuals.</dd>

</dl>

Log-Normal Residuals

res_lnorm: Log-Normal Residuals

Description

Usage

Value

Arguments

See Also

Examples