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