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.
Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.
Version: | 0.1.0 |
Depends: | BB, methods, numDeriv, utils |
Imports: | graphics, stats |
Published: | 2023-09-05 |
DOI: | 10.32614/CRAN.package.mederrRank |
Author: | Sergio Venturini, Jessica Myers |
Maintainer: | Sergio Venturini <sergio.venturini at unicatt.it> |
License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | mederrRank results |
Reference manual: | mederrRank.pdf |
Package source: | mederrRank_0.1.0.tar.gz |
Windows binaries: | r-devel: mederrRank_0.1.0.zip, r-release: mederrRank_0.1.0.zip, r-oldrel: mederrRank_0.1.0.zip |
macOS binaries: | r-release (arm64): mederrRank_0.1.0.tgz, r-oldrel (arm64): mederrRank_0.1.0.tgz, r-release (x86_64): mederrRank_0.1.0.tgz, r-oldrel (x86_64): mederrRank_0.1.0.tgz |
Old sources: | mederrRank archive |
Please use the canonical form https://CRAN.R-project.org/package=mederrRank 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.