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>.

Package details

AuthorColin B. Fogarty [cre] <[email protected]>, Saeed Sharifi-Malvajerdi [aut] <[email protected]>, Feiyu Zhu [aut] <[email protected]>
MaintainerColin B. Fogarty <[email protected]>
LicenseGPL-3
Version1.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bhrcr")

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bhrcr documentation built on Jan. 29, 2019, 1:03 a.m.