Skip to content

Binary Classifications for Quality Indicators in Healthcare based on Bayesian Decision Theory (bdt)

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md
Notifications You must be signed in to change notification settings

iqtigorg/iqtigbdt

Repository files navigation

iqtigbdt

The goal of iqtigbdt is to provide an implementation of the classification methods developed and described in Hengelbrock et al. (2021). For a detailed, technical reference of the provided functions, please use the help function.

How to use this package

The package contains a vignette that fully explains the work flow when using iqtigprm. The vignette is part of the package, if it is build during installation, i.e. by executing devtools::install(build_vignettes = TRUE). The vignette can then be accessed via browseVignettes("iqtigbdt").

Alternatively, the compiled vignette is also contained within the package source files in the documentation folder.

License

MIT

References

Hengelbrock, Johannes, Johannes Rauh, Jona Cederbaum, Maximilian Kähler, and Michael Höhle. 2021. “Hospital profiling using Bayesian decision theory.” MedRxiv Preprint. https://doi.org/https://doi.org/10.1101/2021.06.23.21259367.

About

Binary Classifications for Quality Indicators in Healthcare based on Bayesian Decision Theory (bdt)

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages