split_chains

Split chains by halving the number of iterations per chain and doubling the
number of chains.

Provides useful tools for both users and developers of packages
for fitting Bayesian models or working with output from Bayesian models.
The primary goals of the package are to:
(a) Efficiently convert between many different useful formats of
draws (samples) from posterior or prior distributions.
(b) Provide consistent methods for operations commonly performed on draws,
for example, subsetting, binding, or mutating draws.
(c) Provide various summaries of draws in convenient formats.
(d) Provide lightweight implementations of state of the art posterior
inference diagnostics. References: Vehtari et al. (2021)
<doi:10.1214/20-BA1221>.

PaulChristian Buerkner

posterior

Tools for Working with Posterior Distributions

Paul-Christian Bürkner

Jonah Gabry

Matthew Kay

Aki Vehtari

Måns Magnusson

Rok Češnovar

Ben Lambert

Ozan Adıgüzel

Jacob Socolar

Noa Kallioinen

split_chains function

<dl><dt>x</dt>
<dd>(draws) A <code>draws</code> object or another R object for which the method
is defined.</dd>
<dt>...</dt>
<dd>Arguments passed to individual methods (if applicable).</dd></dl>

Arguments

Split Chains — split_chains

<dl>

<dt>x</dt>
<dd>(draws) A <code>draws</code> object or another R object for which the method
is defined.</dd>


<dt>...</dt>
<dd>Arguments passed to individual methods (if applicable).</dd>

</dl>

Split Chains

split_chains: Split Chains

Description

Usage

Value

Arguments

Examples