predict.boosting: Boosting predict function

In SurvBoost: Gradient Boosting for Survival Data

Description

This function predicts the hazard ratio for each subject in the input dataset.

Usage

## S3 method for class 'boosting'
predict(object, newdata = NULL, ...)

Arguments

object	output from boosting_core function.
newdata	data.frame used for prediction. Default is NULL and will use data specified for boosting algorithm.
...	ignored

Value

vector of the hazard ratio for each observation relative to the sample average.

Examples

data <- simulate_survival_cox(true_beta=c(1,1,1,1,1,0,0,0,0,0))
formula <- as.formula("Surv(time,delta) ~ strata(strata_idx) + V1 + V2 + 
V3 + V4 + V5 + V6 + V7 + V8 + V9 + V10" )
boosting.output <- boosting_core(formula, data, rate=0.1, num_iter=500)
predict.boosting(boosting.output)

SurvBoost documentation built on Sept. 20, 2019, 5:04 p.m.