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### test-plotRisk.R ---
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## Author: Thomas Alexander Gerds
## Created: Sep 15 2022 (16:04)
## Version:
## Last-Updated: Sep 16 2022 (12:56)
## By: Thomas Alexander Gerds
## Update #: 4
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##
### Commentary:
##
### Change Log:
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### Code:
library(riskRegression)
library(testthat)
library(rms)
library(prodlim)
library(cmprsk)
library(survival)
library(data.table)
library(lava)
test_that("More than one competing risk",{
set.seed(8)
learndat = sampleData(80,outcome="competing.risk")
testdat = sampleData(140,outcome="competing.risk")
setkey(learndat,time)
setkey(testdat,time)
learndat[,event := as.character(event)]
testdat[,event := as.character(event)]
learndat[9:17,event := "cr2"]
testdat[9:17,event := "cr2"]
m1 = FGR(Hist(time,event)~X2+X7+X9,data=learndat,cause=1)
m2 = CSC(Hist(time,event)~X2+X7+X9,data=learndat,cause=1)
xcr=Score(list("FGR"=m1,"CSC"=m2),formula=Hist(time,event)~1,
data=testdat,summary="risks",null.model=0L,times=c(3,5))
plotRisk(xcr,times=3)
# check when no censored before time horizon
testdat[time <= 3 & event == 0, event := 1]
xcr=Score(list("FGR"=m1,"CSC"=m2),formula=Hist(time,event)~1,
data=testdat,summary="risks",null.model=0L,times=c(3,5))
plotRisk(xcr,times=3)
# check when no censored in all data
testdat[event == 0, event := 1]
xcr=Score(list("FGR"=m1,"CSC"=m2),formula=Hist(time,event)~1,
data=testdat,summary="risks",null.model=0L,times=c(3,5))
plotRisk(xcr,times=3)
# check when no event-free at horizon
testdat[event == 0, event := 1]
Score(list("FGR"=m1,"CSC"=m2),formula=Hist(time,event)~1,
data=testdat,summary="risks",null.model=0L,times=c(3,8))
# all predicted risks of model m2 are NA
expect_error(xcr=Score(list("FGR"=m1,"CSC"=m2),formula=Hist(time,event)~1,
data=testdat,summary="risks",null.model=0L,times=c(3,8)))
})
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### test-plotRisk.R ends here
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