update_proposal

This function takes the provided <code>bi_model</code> and adds a generic
Gaussian proposal distribution.

internal

Contains a collection of helper functions to use with 'rbi', the R
interface to 'LibBi', described in
Murray et al. (2015) <doi:10.18637/jss.v067.i10>. It contains functions to
adapt the proposal distribution and number of particles in
particle Markov-Chain Monte Carlo, as well as calculating the
Deviance Information Criterion (DIC) and converting between times in 'LibBi'
results and R time/dates.

Sebastian Funk

rbi.helpers

'rbi' Helper Functions

update_proposal function

<dl><dt>model</dt>
<dd>a <code>bi_model</code> object</dd>
<dt>truncate</dt>
<dd>truncate the multivariate normal proposals according to the
used priors, e.g. truncating a parameter with beta prior at 0 and 1</dd>
<dt>blocks</dt>
<dd>blocks to use (out of "parameter" and "initial")</dd></dl>

Arguments

Construct a proposal from run results — update_proposal

<dl>

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


<dt>truncate</dt>
<dd>truncate the multivariate normal proposals according to the
used priors, e.g. truncating a parameter with beta prior at 0 and 1</dd>


<dt>blocks</dt>
<dd>blocks to use (out of "parameter" and "initial")</dd>

</dl>

update_proposal: Construct a proposal from run results

Description

Usage

Value

Arguments