ProgressionParams

Provides Bayesian inference methods for infectious disease transmission
models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms
for estimating transmission parameters from patient-level data including admission,
discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.

Andrew Redd

bayestransmission

Bayesian Transmission Models

Alun Thomas

University of Utah 

CDC's Center for Forecasting and Outbreak Analytics 

ProgressionParams function

<dl><dt>rate</dt>
<dd>Base progression rate</dd>
<dt>abx</dt>
<dd>Effect of current antibiotics on progression</dd>
<dt>ever_abx</dt>
<dd>Effect of ever having taken antibiotics on progression</dd></dl>

Arguments

Progression Parameters — ProgressionParams

<dl>

<dt>rate</dt>
<dd>Base progression rate</dd>


<dt>abx</dt>
<dd>Effect of current antibiotics on progression</dd>


<dt>ever_abx</dt>
<dd>Effect of ever having taken antibiotics on progression</dd>

</dl>

ProgressionParams: Progression Parameters

Description

Usage

Value

Arguments

Examples