to_input

Used for predictions, if one doesn't want to re-simulate state/noise
 trajectories

internal

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

to_input function

<dl><dt>x</dt>
<dd>a <code>bi_model</code> object</dd>
<dt>vars</dt>
<dd>vector of variables to convert to inputs</dd></dl>

Arguments

Convert variables into inputs — to_input

<dl>

<dt>x</dt>
<dd>a <code>bi_model</code> object</dd>


<dt>vars</dt>
<dd>vector of variables to convert to inputs</dd>

</dl>

to_input: Convert variables into inputs

Description

Usage

Value

Arguments

See Also