summary.boosting: Summary of boosting model selection

In SurvBoost: Gradient Boosting for Survival Data

Description

This function displays the variables selected from a model generated with the boosting_core function.

Usage

## S3 method for class 'boosting'
summary(object, all_beta = NULL, ...)

Arguments

object	output from boosting_core function.
all_beta	default value is FALSE. If this is set to TRUE the coefficient estimates for all the parameters will be printed.
...	ignored

Value

list containing the coefficient vector, number of boosting iterations, and resulting formula from the variable selection.

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)
summary.boosting(boosting.output)

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