The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

MHTrajectoryR: 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.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: parallel, mgcv
Published: 2016-04-05
DOI: 10.32614/CRAN.package.MHTrajectoryR
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <Mohammed.sedki at u-psud.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MHTrajectoryR results

Documentation:

Reference manual: MHTrajectoryR.pdf

Downloads:

Package source: MHTrajectoryR_1.0.1.tar.gz
Windows binaries: r-devel: MHTrajectoryR_1.0.1.zip, r-release: MHTrajectoryR_1.0.1.zip, r-oldrel: MHTrajectoryR_1.0.1.zip
macOS binaries: r-release (arm64): MHTrajectoryR_1.0.1.tgz, r-oldrel (arm64): MHTrajectoryR_1.0.1.tgz, r-release (x86_64): MHTrajectoryR_1.0.1.tgz, r-oldrel (x86_64): MHTrajectoryR_1.0.1.tgz
Old sources: MHTrajectoryR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MHTrajectoryR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.