survivalSL (version 0.98)

LIB_AFTgamma: Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Gamma Distribution

Description

Fit an AFT parametric model with a gamma distribution.

Usage

LIB_AFTgamma(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 model is obtained by using the dist="gamma" in the flexsurvreg package.

References

Jackson, C. (2016). flexsurv: A Platform for Parametric Survival Modeling in R. Journal of Statistical Software, 70(8), 1-33. doi:10.18637/jss.v070.i08

Examples

data("dataDIVAT2")

# The estimation of the model from the first 200 lines

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

# 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))