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>.

Package details

AuthorJinhui Yang, Haitao Chu, and Lifeng Lin
MaintainerJinhui Yang <[email protected]>
Package repositoryView on CRAN
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BayesSenMC documentation built on May 2, 2019, 7:18 a.m.