res_binom

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_binom function

<dl><dt>x</dt>
<dd>A non-negative whole numeric vector of values.</dd>
<dt>size</dt>
<dd>A non-negative whole numeric vector of the number of trials.</dd>
<dt>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of
success.</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

Binomial Residuals — res_binom

<dl>

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


<dt>size</dt>
<dd>A non-negative whole numeric vector of the number of trials.</dd>


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

Binomial Residuals

res_binom: Binomial Residuals

Description

Usage

Value

Arguments

See Also

Examples