ran_bern

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 

ran_bern function

<dl><dt>n</dt>
<dd>A non-negative whole number of the number of random samples to
generate.</dd>
<dt>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of
success.</dd></dl>

Arguments

Bernoulli Random Samples — ran_bern

<dl>

<dt>n</dt>
<dd>A non-negative whole number of the number of random samples to
generate.</dd>


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

</dl>

Bernoulli Random Samples

ran_bern: Bernoulli Random Samples

Description

Usage

Value

Arguments

See Also

Examples