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: 0.1.4
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 (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2021-10-05
Author: Jinhui Yang, Haitao Chu, and Lifeng Lin
Maintainer: Jinhui Yang <james.yangjinhui at gmail.com>
BugReports: https://github.com/formidify/BayesSenMC/issues
License: GPL-2
URL: https://github.com/formidify/BayesSenMC
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: BayesSenMC results

Documentation:

Reference manual: BayesSenMC.pdf

Downloads:

Package source: BayesSenMC_0.1.4.tar.gz
Windows binaries: r-devel: BayesSenMC_0.1.4.zip, r-devel-UCRT: BayesSenMC_0.1.4.zip, r-release: BayesSenMC_0.1.4.zip, r-oldrel: BayesSenMC_0.1.4.zip
macOS binaries: r-release (arm64): BayesSenMC_0.1.4.tgz, r-release (x86_64): BayesSenMC_0.1.4.tgz, r-oldrel: BayesSenMC_0.1.4.tgz
Old sources: BayesSenMC archive

Linking:

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