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 in <doi:10.1016/j.annepidem.2006.04.001> and <doi:10.1177/0272989X09353452>.

Version: 0.1.5
Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1), dplyr, ggplot2, lme4
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2022-08-06
DOI: 10.32614/CRAN.package.BayesSenMC
Author: Jinhui Yang, Haitao Chu, and Lifeng Lin
Maintainer: Jinhui Yang <james.yangjinhui at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: BayesSenMC results


Reference manual: BayesSenMC.pdf


Package source: BayesSenMC_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesSenMC_0.1.5.tgz, r-oldrel (arm64): BayesSenMC_0.1.5.tgz, r-release (x86_64): BayesSenMC_0.1.5.tgz, r-oldrel (x86_64): BayesSenMC_0.1.5.tgz
Old sources: BayesSenMC archive


Please use the canonical form to link to this page.