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BayesSenMC  

Different Models of Posterior Distributions of Adjusted Odds Ratio
View on CRAN: Click here


Download and install BayesSenMC package within the R console
Install from CRAN:
install.packages("BayesSenMC")

Install from Github:
library("remotes")
install_github("cran/BayesSenMC")

Install by package version:
library("remotes")
install_version("BayesSenMC", "0.1.5")



Attach the package and use:
library("BayesSenMC")
Maintained by
Jinhui Yang
[Scholar Profile | Author Map]
First Published: 2019-04-08
Latest Update: 2022-08-06
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 .
How to cite:
Jinhui Yang (2019). BayesSenMC: Different Models of Posterior Distributions of Adjusted Odds Ratio. R package version 0.1.5, https://cran.r-project.org/web/packages/BayesSenMC. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2019-04-08 10:52), 0.1.1 (2019-04-15 08:15), 0.1.2 (2020-05-26 11:50), 0.1.3 (2021-09-02 14:40), 0.1.4 (2021-10-06 01:10)
Other packages that cited BayesSenMC R package
View BayesSenMC citation profile
Other R packages that BayesSenMC depends, imports, suggests or enhances
Complete documentation for BayesSenMC
Functions, R codes and Examples using the BayesSenMC R package
Some associated functions: BayesSenMC-package . bd_meta . correctedOR . crudeOR . diffOR . fixedCorrOR . logitOR . nlmeNDiff . paramEst . plotOR . randCorrOR . 
Some associated R codes: BayesSenMC-package.R . bd_meta-data.R . models.R . nlme.R . plotModels.R . stanmodels.R .  Full BayesSenMC package functions and examples
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