quant_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

Stefano Mezzini

Poisson Consulting 

quant_binom function

<dl><dt>x</dt>
<dd>A numeric vector of probabilities.</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></dl>

Arguments

Binomial Quantile Function — quant_binom

<dl>

<dt>x</dt>
<dd>A numeric vector of probabilities.</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>

</dl>

Binomial Quantile Function

quant_binom: Binomial Quantile Function

Description

Usage

Value

Arguments

See Also

Examples