params

internal

Provides S3 generic methods and some default implementations
for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC)
samples.  The purpose of 'universals' is to reduce package
dependencies and conflicts.  The 'nlist' package implements many of
the methods for its 'nlist' class.

Joe Thorley

universals

S3 Generics for Bayesian Analyses

Kirill Müller

Poisson Consulting 

params function

<dl><dt>x</dt>
<dd>An object.</dd>
<dt>x2</dt>
<dd>A second object.</dd>
<dt>...</dt>
<dd>Other arguments passed to methods.</dd>
<dt>nas</dt>
<dd>A flag specifying whether to also fill missing values.</dd>
<dt>conf_level</dt>
<dd>A numeric scalar between 0 and 1 specifying
the confidence level.</dd></dl>

Arguments

Parameter Descriptions — params

<dl>

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


<dt>x2</dt>
<dd>A second object.</dd>


<dt>...</dt>
<dd>Other arguments passed to methods.</dd>


<dt>nas</dt>
<dd>A flag specifying whether to also fill missing values.</dd>


<dt>conf_level</dt>
<dd>A numeric scalar between 0 and 1 specifying
the confidence level.</dd>

</dl>