split_chains

Splits each of an MCMC object's chains in half
to double the number of chains
and halve the number of iterations.

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 

split_chains function

<dl><dt>x</dt>
<dd>An object.</dd>
<dt>...</dt>
<dd>Other arguments passed to methods.</dd></dl>

Arguments

Split Chains — split_chains

<dl>

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


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

</dl>

split_chains: Split Chains

Description

Usage

Value

Arguments

See Also