BayesSenMC: Different Models of Posterior Distributions of Adjusted Odds Ratio

Generates different posterior distributions of adjusted odds ratio under different priors of sensitivity and specificity, and plots the models for comparison. It also provides estimations for the specifications of the models using diagnostics of exposure status with a non-linear mixed effects model. It implements the methods that are first proposed by Chu et al. (2006) <doi:10.1016/j.annepidem.2006.04.001> and Chu et al. (2010) <doi:10.1177/0272989X09353452>.

Version: 0.1.1
Depends: Rcpp (≥ 0.12.19)
Imports: dplyr, ggplot2, rstan (≥ 2.16.2), lme4
Suggests: gridExtra
Published: 2019-04-15
Author: Jinhui Yang, Haitao Chu, and Lifeng Lin
Maintainer: Jinhui Yang <yangj2 at carleton.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: BayesSenMC results

Downloads:

Reference manual: BayesSenMC.pdf
Vignettes: BayesSenMC Illustrations
Package source: BayesSenMC_0.1.1.tar.gz
Windows binaries: r-devel: BayesSenMC_0.1.1.zip, r-devel-gcc8: BayesSenMC_0.1.1.zip, r-release: BayesSenMC_0.1.1.zip, r-oldrel: BayesSenMC_0.1.1.zip
OS X binaries: r-release: BayesSenMC_0.1.1.tgz, r-oldrel: BayesSenMC_0.1.1.tgz
Old sources: BayesSenMC archive

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