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) .


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install.packages("bhrcr")

1.0.3 by Colin B. Fogarty, 4 months ago


Browse source code at https://github.com/cran/bhrcr


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