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

An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015) ). 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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.3 by Colin B. Fogarty, 2 months ago

Browse source code at

Authors: Colin B. Fogarty [cre] <[email protected]> , Saeed Sharifi-Malvajerdi [aut] <[email protected]> , Feiyu Zhu [aut] <[email protected]>

Documentation:   PDF Manual  

GPL-3 license

Imports stats, MCMCpack, MASS, msm, mvtnorm, survival, AER, Cairo, graphics, grDevices, utils

Suggests knitr, rmarkdown

See at CRAN