Package: mederrRank
Title: Bayesian Methods for Identifying the Most Harmful Medication
        Errors
Version: 0.1.0
Date: 2023-09-05
Description: 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.
Author: Sergio Venturini, Jessica Myers
Maintainer: Sergio Venturini <sergio.venturini@unicatt.it>
Depends: BB, methods, numDeriv, utils
Imports: graphics, stats
License: GPL (>= 2) | file LICENSE
LazyLoad: yes
NeedsCompilation: no
Packaged: 2026-07-12 08:46:32 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2023-09-05 17:31:09 UTC
RemoteUrl: https://github.com/cran/mederrRank
RemoteRef: HEAD
RemoteSha: 56bcfa086a1ae27ee818c296ea7eb87cbbe793fc