Learn R Programming

BayesSenMC (version 0.1.5)

Different Models of Posterior Distributions of Adjusted Odds Ratio

Description

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 and .

Copy Link

Version

Install

install.packages('BayesSenMC')

Monthly Downloads

275

Version

0.1.5

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Jinhui Yang

Last Published

August 6th, 2022

Functions in BayesSenMC (0.1.5)

plotOR

Plot Model
paramEst

Parameter estimates of the GLMM model
diffOR

Model with differential misclassification
correctedOR

Model with constant nondifferential misclassification
BayesSenMC-package

The 'BayesSenMC' package.
logitOR

Model with nondifferential, logit normal-distributed misclassification
fixedCorrOR

Model with nondifferential, correlated misclassification
crudeOR

Model without misclassification
bd_meta

Meta-analysis data on Bipolar Disorder diagnosis accuracy
nlmeNDiff

Non-differential Generalized Linear Mixed Effects Model
randCorrOR

Model with nondifferential, randomly correlated misclassification