res_pois_zi

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_pois_zi function

<dl><dt>x</dt>
<dd>A non-negative whole numeric vector of values.</dd>
<dt>lambda</dt>
<dd>A non-negative numeric vector of means.</dd>
<dt>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of zero-inflation.</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

Zero-Inflated Poisson Residuals — res_pois_zi

<dl>

<dt>x</dt>
<dd>A non-negative whole numeric vector of values.</dd>


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


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

Zero-Inflated Poisson Residuals

res_pois_zi: Zero-Inflated Poisson Residuals

Description

Usage

Value

Arguments

See Also

Examples