tidy.mcmc.list

Create and manipulate numeric list ('nlist') objects.  An
'nlist' is an S3 list of uniquely named numeric objects.  An numeric
object is an integer or double vector, matrix or array.  An 'nlists'
object is a S3 class list of 'nlist' objects with the same names,
dimensionalities and typeofs.  Numeric list objects are of interest
because they are the raw data inputs for analytic engines such as
'JAGS', 'STAN' and 'TMB'.  Numeric lists objects, which are useful for
storing multiple realizations of of simulated data sets, can be
converted to coda::mcmc and coda::mcmc.list objects.

Joe Thorley

nlist

Lists of Numeric Atomic Objects

Kirill Müller

Nadine Hussein

Ayla Pearson

Poisson Consulting 

tidy.mcmc.list function

<dl><dt>x</dt>
<dd>An object.</dd>
<dt>simplify</dt>
<dd>A flag specifying whether to drop the sd and zscore
columns. <code>simplify = FALSE</code> is deprecated.</dd>
<dt>directional_information</dt>
<dd>A flag specifying whether the svalue column
should be calculated using <code>extras::directional_information()</code> instead of
<code>extras::svalue()</code>.
The default value will change from <code>FALSE</code> to <code>TRUE</code> in a future release;
set the argument explicitly to avoid the deprecation warning.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

generics:::methods_rd("tidy")

Methods

Turn an object into a tidy tibble — tidy.mcmc.list

<dl>

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


<dt>simplify</dt>
<dd>A flag specifying whether to drop the sd and zscore
columns. <code>simplify = FALSE</code> is deprecated.</dd>


<dt>directional_information</dt>
<dd>A flag specifying whether the svalue column
should be calculated using <code>extras::directional_information()</code> instead of
<code>extras::svalue()</code>.
The default value will change from <code>FALSE</code> to <code>TRUE</code> in a future release;
set the argument explicitly to avoid the deprecation warning.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

tidy.mcmc.list: Turn an object into a tidy tibble

Description

Usage

Value

Arguments

Methods