[.draws_array

Extract parts of a <code>draws_array</code> object. They are strictly defined as arrays
of 3 dimensions (iteration x chain x variable) so dropping any of the
dimensions breaks the expected structure of the object. Accordingly, no
dropping of dimensions is done by default even if the extracted slices are of
length 1. If <code>drop</code> is manually set to <code>TRUE</code> and any of the dimensions is
actually dropped, this will lead to dropping the <code>"draws_array"</code> class as
well.

internal

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

[.draws_array function

<dl><dt>x, i, j, ..., drop</dt>
<dd>Same as in the default extraction method but with
<code>drop</code> being set to <code>FALSE</code> by default.</dd></dl>

Arguments

Extract parts of a draws_array object — [.draws_array

<dl>

<dt>x, i, j, ..., drop</dt>
<dd>Same as in the default extraction method but with
<code>drop</code> being set to <code>FALSE</code> by default.</dd>

</dl>

Extract parts of a <code>draws_array</code> object

[.draws_array: Extract parts of a `draws_array` object

Description

Usage

Value

Arguments