logit&lt;-

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.

Joe Thorley

extras

Helper Functions for Bayesian Analyses

Nicole Hill

Kirill Müller

Nadine Hussein

Poisson Consulting 

logit&lt;- function

<dl><dt>x</dt>
<dd>An existing object.</dd>
<dt>value</dt>
<dd>A numeric atomic object of the value to
inverse logistically transform.</dd></dl>

Arguments

Logistic Transformation — logit&lt;-

<dl>

<dt>x</dt>
<dd>An existing object.</dd>


<dt>value</dt>
<dd>A numeric atomic object of the value to
inverse logistically transform.</dd>

</dl>

Logistic Transformation

logit<-: Logistic Transformation

Description

Usage

Value

Arguments

Details

See Also

Examples