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: | 0.1.2 |
| Depends: | Rcpp (≥ 0.12.19) |
| Imports: | dplyr, ggplot2, rstan (≥ 2.16.2), lme4 |
| Suggests: | gridExtra |
| Published: | 2020-05-26 |
| Author: | Jinhui Yang, Haitao Chu, and Lifeng Lin |
| Maintainer: | Jinhui Yang <james.yangjinhui at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BayesSenMC results |
| Reference manual: | BayesSenMC.pdf |
| Vignettes: |
BayesSenMC Illustrations |
| Package source: | BayesSenMC_0.1.2.tar.gz |
| Windows binaries: | r-devel: BayesSenMC_0.1.2.zip, r-release: BayesSenMC_0.1.2.zip, r-oldrel: BayesSenMC_0.1.2.zip |
| macOS binaries: | r-release: BayesSenMC_0.1.2.tgz, r-oldrel: BayesSenMC_0.1.2.tgz |
| Old sources: | BayesSenMC archive |
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