dbern

pbern

qbern

rbern

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 

dbern function

<dl><dt>x</dt>
<dd>A vector of 0s and 1s.</dd>
<dt>prob</dt>
<dd>A numeric vector of values between 0 and 1 of the probability of
success.</dd>
<dt>log</dt>
<dd>A flag specifying whether to return the log-transformed value.</dd>
<dt>q</dt>
<dd>A vector of quantiles.</dd>
<dt>lower.tail</dt>
<dd>A flag specifying whether to return the lower or upper tail
of the distribution.</dd>
<dt>p</dt>
<dd>A vector of probabilities.</dd>
<dt>n</dt>
<dd>A non-negative whole number of the number of random samples to
generate.</dd></dl>

Arguments

Bernoulli Distribution — dbern

<dl>

<dt>x</dt>
<dd>A vector of 0s and 1s.</dd>


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


<dt>log</dt>
<dd>A flag specifying whether to return the log-transformed value.</dd>


<dt>q</dt>
<dd>A vector of quantiles.</dd>


<dt>lower.tail</dt>
<dd>A flag specifying whether to return the lower or upper tail
of the distribution.</dd>


<dt>p</dt>
<dd>A vector of probabilities.</dd>


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

</dl>

Bernoulli Distribution

dbern: Bernoulli Distribution

Description

Usage

Value

Arguments

Examples