survivalSL (version 0.98)

LIB_COXall: Library of the Super Learner for Cox Regression

Description

Fit a Cox regression for all covariates to be used in the super learner.

Usage

LIB_COXall(formula, data)

Value

formula

The formula object used for model construction.

model

The estimated model.

data

The data frame used for learning.

times

A vector of numeric values with the times of the predictions.

predictions

A matrix with the predictions of survivals of each subject (lines) for each observed time (columns).

Arguments

formula

A formula object, with the response on the left of a ~ operator, and the terms on the right. The response must be a survival object as returned by the Surv function.

data

A data frame whose columns correspond to the variables present in the formula.

Details

The Cox regression is obtained by using the survival package.

References

Terry M. Therneau (2021). A Package for Survival Analysis in R. R package version 3.2-13, https://CRAN.R-project.org/package=survival.

Examples

data("dataDIVAT2")


# The estimation of the model from the first 200 lines

formula<-Surv(times,failures) ~ age + hla + retransplant + ecd
data<-dataDIVAT2[1:200,]
model <- LIB_COXall(formula=formula, data=data)

# The predicted survival of the first subject of the training sample
plot(y=model$predictions[1,], x=model$times, xlab="Time (years)",
ylab="Predicted survival", col=1, type="l", lty=1, lwd=2, ylim=c(0,1))