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MHTrajectoryR  

Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MHTrajectoryR", "1.0.1")



Attach the package and use:
library("MHTrajectoryR")
Maintained by
Mohammed Sedki
[Scholar Profile | Author Map]
First Published: 2016-03-08
Latest Update: 2016-04-05
Description:
Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, the analysis of such databases requires statistical methods. We propose to use a logistic regression whose sparsity is viewed as a model selection challenge. Since the model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing the BIC criterion.
How to cite:
Mohammed Sedki (2016). MHTrajectoryR: Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions. R package version 1.0.1, https://cran.r-project.org/web/packages/MHTrajectoryR. Accessed 16 Apr. 2025.
Previous versions and publish date:
1.0 (2016-03-08 17:02)
Other packages that cited MHTrajectoryR R package
View MHTrajectoryR citation profile
Other R packages that MHTrajectoryR depends, imports, suggests or enhances
Complete documentation for MHTrajectoryR
Functions, R codes and Examples using the MHTrajectoryR R package
Some associated functions: Analyze_oneAE . MHTrajectoryR-package . OmopReference . exampleAE . exampleDrugs . 
Some associated R codes: Analyze_oneAE.R . ExhaustiveLogisticw.R . FindSignals.R . MHLogisticw.R . MatchOmop.R .  Full MHTrajectoryR package functions and examples
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