plotBrier: Plot Brier curve

In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Plot Brier curve

Description

Plot Brier score curves

Usage

plotBrier(
  x,
  models,
  which = "score",
  xlim,
  ylim,
  xlab,
  ylab,
  col,
  lwd,
  lty = 1,
  cex = 1,
  pch = 1,
  type = "l",
  axes = 1L,
  percent = 1L,
  conf.int = 0L,
  legend = 1L,
  ...
)

Arguments

x	Object obtained with Score
models	Choice of models to plot
which	Character. Either "score" to show AUC or "contrasts" to show differences between AUC.
xlim	Limits for x-axis
ylim	Limits for y-axis
xlab	Label for x-axis
ylab	Label for y-axis
col	line color
lwd	line width
lty	line style
cex	point size
pch	point style
type	line type
axes	Logical. If TRUE draw axes.
percent	Logical. If TRUE scale y-axis in percent.
conf.int	Logical. If TRUE draw confidence shadows.
legend	Logical. If TRUE draw legend.
...	Used for additional control of the subroutines: plot, axis, lines, legend. See SmartControl.

Examples

# survival
library(survival)
library(prodlim)
set.seed(7)
ds1=sampleData(40,outcome="survival")
ds2=sampleData(40,outcome="survival")
f1 <- coxph(Surv(time,event)~X1+X3+X5+X7+X9,data=ds1,x=TRUE)
f2 <- coxph(Surv(time,event)~X2+X4+X6+X8+X10,data=ds1,x=TRUE)
xscore <- Score(list(f1,f2),formula=Hist(time,event)~1,data=ds2,times=0:12,metrics="brier")
plotBrier(xscore)

riskRegression documentation built on May 29, 2024, 10:59 a.m.