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-devel (arm64): ggscidca_0.2.3.tgz, r-release (arm64): ggscidca_0.2.3.tgz, r-oldrel (arm64): ggscidca_0.2.3.tgz, r-devel (x86_64): 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

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