summary

summary.libbi

This reads in the output file of the <code>libbi</code> object (which has
 been run before) and prints summary information of parameters

Provides a complete interface to 'LibBi', a library for Bayesian
inference (see <https://libbi.org> and Murray, 2015
<doi:10.18637/jss.v067.i10> for more information). This includes functions
for manipulating 'LibBi' models, for reading and writing 'LibBi'
input/output files, for converting 'LibBi' output to provide traces for use
with the coda package, and for running 'LibBi' to conduct inference.

Sebastian Funk

Interface to 'LibBi'

Pierre E. Jacob

Anthony Lee

Lawrence M. Murray

Sam Abbott

summary function

<dl><dt>object</dt>
<dd>a <code>libbi</code> object</dd>
<dt>type</dt>
<dd>one of "param" (default), "state", "noise" or "obs", the variable
type to summarise</dd>
<dt>quantiles</dt>
<dd>quantiles to calculate (default: quartiles); minimum,
median, mean and maximum are always calculated</dd>
<dt>na.rm</dt>
<dd>logical; if true, any <code>na</code> and <code>NaN</code>'s are removed
before calculations are performed</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Print summary information about a libbi object — summary

<dl>

<dt>object</dt>
<dd>a <code>libbi</code> object</dd>


<dt>type</dt>
<dd>one of "param" (default), "state", "noise" or "obs", the variable
type to summarise</dd>


<dt>quantiles</dt>
<dd>quantiles to calculate (default: quartiles); minimum,
median, mean and maximum are always calculated</dd>


<dt>na.rm</dt>
<dd>logical; if true, any <code>na</code> and <code>NaN</code>'s are removed
before calculations are performed</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

summary: Print summary information about a `libbi` object

Description

Usage

Value

Arguments