MHTrajectoryR (1.0.1)

Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions.

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.

Maintainer: Mohammed Sedki
Author(s): Matthieu Marbac and Mohammed Sedki

License: GPL (>= 2)

Uses: mgcv

Released almost 4 years ago.