saveCoxConfidential: Save confidential Cox objects

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

Save confidential Cox objects

Description

Save confidential Cox objects

Usage

saveCoxConfidential(object, times)

Arguments

object	An object of class coxph.
times	The times at which we want to predict risk.

Details

This function can save coxph objects such that we do not need to export the data on which it was fitted at given times.

Examples

library(survival)
library(lava)
set.seed(18)
trainSurv <- sampleData(300,outcome="survival")
testSurv <- sampleData(40,outcome="survival")
fit = coxph(Surv(time,event)~X1+X2+X3+X7+X9,data=trainSurv, y=TRUE, x = TRUE)
u=saveCoxConfidential(fit,times=3)
## Not run: 
# write object as plain text file
sink("~/tmp/u.R")
cat("U <- ")
dput(u)
sink(NULL)
# reload object
source("~/tmp/u.R")
class(u) <- "CoxConfidential"

## End(Not run)
predictRisk(u,newdata=testSurv)
cox1 = coxph(Surv(time,event)~strata(X1)+X2+X3+X7+X9,data=trainSurv, y=TRUE, x = TRUE)
z<-saveCoxConfidential(cox1,c(2,5))

dput(z) ## get output to copy object

all.equal(predictRisk(z,newdata=testSurv),
          predictRisk(cox1,newdata=testSurv,times=c(2,5)))

cox2 = coxph(Surv(time,event)~X1+X2+X7+X9,data=trainSurv, y=TRUE, x = TRUE)
z<-saveCoxConfidential(cox2,c(2,5))

all.equal(predictRisk(z,testSurv),predictRisk(z,testSurv,c(2,5)))

riskRegression documentation built on Sept. 8, 2023, 6:12 p.m.