bhrcr: 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) <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>.

Version: 1.0.3
Depends: R (≥ 3.0.0)
Imports: stats, MCMCpack, MASS, msm, mvtnorm, survival, AER, Cairo, graphics, grDevices, utils
Suggests: knitr, rmarkdown
Published: 2019-01-28
Author: Colin B. Fogarty [cre], Saeed Sharifi-Malvajerdi [aut], Feiyu Zhu [aut]
Maintainer: Colin B. Fogarty <cfogarty at>
License: GPL-3
NeedsCompilation: no
Citation: bhrcr citation info
CRAN checks: bhrcr results


Reference manual: bhrcr.pdf
Vignettes: Quick tutorial for using bhrcr
Package source: bhrcr_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: bhrcr_1.0.3.tgz, r-oldrel: bhrcr_1.0.3.tgz
Old sources: bhrcr archive


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