The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
Reference manual: | MHTrajectoryR.pdf |
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 |
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.
Health stats visible at Monitor.