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.

ggscidca: Plotting Decision Curve Analysis with Coloured Bars

Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.

Version: 0.2.3
Depends: R (≥ 2.10)
Imports: cmprsk, e1071, ggplot2, kernlab, randomForest, reshape2, survival
Published: 2024-05-20
DOI: 10.32614/CRAN.package.ggscidca
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857 at 163.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ggscidca results

Documentation:

Reference manual: ggscidca.pdf

Downloads:

Package source: ggscidca_0.2.3.tar.gz
Windows binaries: r-devel: ggscidca_0.2.3.zip, r-release: ggscidca_0.2.3.zip, r-oldrel: ggscidca_0.2.3.zip
macOS binaries: r-release (arm64): ggscidca_0.2.3.tgz, r-oldrel (arm64): ggscidca_0.2.3.tgz, r-release (x86_64): ggscidca_0.2.3.tgz, r-oldrel (x86_64): ggscidca_0.2.3.tgz
Old sources: ggscidca archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggscidca 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.