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ggscidca (version 0.2.8)

Plotting Decision Curve Analysis with Coloured Bars

Description

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) .

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Version

Install

install.packages('ggscidca')

Monthly Downloads

303

Version

0.2.8

License

GPL-3

Maintainer

Qiang LIU

Last Published

December 16th, 2025

Functions in ggscidca (0.2.8)

scidca.scixgboot

scidca.scixgboot
stdca

stdca
scidca.svm

scidca.svm
netdata.scisvycoxph

netdata.scisvycoxph
netdata.randomFores

netdata.randomFores
tcdca

tcdca
netdata.scixgboot

netdata.scixgboot
scidca.coxph

scidca.coxph
scidca.crr

scidca.crr
scidca.randomForest

scidca.randomForest
scidca.scisvycoxph

scidca.scisvycoxph
scidca.ksvm

scidca.ksvm
netdata.svm

netdata.svm
scidca.glm

scidca.glm
netdata.coxph

netdata.coxph
cmprskstdca

cmprskstdca
df_surv

A data for competitive risk modelling.
cox.tcdca

cox.tcdca
netdata.crr

netdata.crr
netdata

netdata
dca

dca
demo

A medical examination related data.
LIRI

A data for random forest analysis.
newcrr

newcrr
netdata.ksvm

netdata.ksvm
Breastcancer

A survival data on breast cancer.
netdata.glm

netdata.glm
scidca

scidca