pursat

The <code>pursat</code> dataset consists of P. falciparum
clearance profiles of 110 patients, measured in 2009 and 
2010 in the Pursat province of Western Cambodia. Parasite densities were measured every 6 hours, 
and the detection limit was 15 parasites per microliter.
All 110 individuals were observed until no parasites were found in their blood.

datasets

An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015) <doi:10.1111/biom.12307>).
It takes serial measurements of a response on an individual (e.g., parasite load
after treatment) that is decaying over time and performs Bayesian hierarchical
regression of the clearance rates on the given covariates. This package provides
tools to calculate WWARN PCE (WorldWide Antimalarial Resistance Network's
Parasite Clearance Estimator) estimates of the clearance rates as well. A tutorial appeared in
Sharifi-Malvajerdi et al. (2019) <doi: 10.1186/s12936-018-2631-8>.

Colin Fogarty

bhrcr

Bayesian Hierarchical Regression on Clearance Rates in the
Presence of Lag and Tail Phases

pursat function

A data frame with following variables<dl class="dl-horizontal">
 <dt>id</dt><dd>patients' IDs</dd>
 <dt>time</dt><dd>measurement times</dd>
 <dt>count</dt><dd>parasite counts in blood</dd>
</dl>

Format

Description of the Dataset <code>pursat.rda</code> — pursat

A data frame with following variables<dl class='dl-horizontal'>
 <dt>id</dt><dd>patients' IDs</dd>
 <dt>time</dt><dd>measurement times</dd>
 <dt>count</dt><dd>parasite counts in blood</dd>
</dl>

pursat: Description of the Dataset `pursat.rda`

Description

Usage

Arguments

Format