riskRegression: plotBrier – R documentation

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riskRegression

plotBrier

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)
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

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

v2020.12.08

GPL (>= 2)

Authors

Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)

Initial release

plotBrier

Description

Usage

Arguments

Examples

riskRegression

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