LIB_COXall {survivalSL}R Documentation

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)

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.

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).

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))

[Package survivalSL version 0.98 Index]