gbm.pred.survfns: Predict survival functions and distributions for gbm cph...

In roywilsonLinc/gbmFns: Functions to enhance gbm analyses and reporting

Description

gbm.pred.survfns extracts survival model functions and densities and plots if required

Usage

gbm.pred.survfns(gbm.model, max.time, data.in = NULL, vars.keep, ntrees)

Arguments

gbm.model	A gbm model to extract survival functions and desities from.
max.time	A numeric scalar giving the time point to which estimates should be extended
data.in	A dataframe of inputs for prediction if NULL will use the orginal model dataframe
ntrees	The number of trees for predictions
var.keep	A character vector of variables from data.in to keep in the output data.table

Value

A data.table with hazard function outputs for each row in the prediction data

Examples

## Not run: 
gbm.survfns(gbm.model=gbm.model,max.time=100,ntrees=100)

## End(Not run)

roywilsonLinc/gbmFns documentation built on May 27, 2019, 11:47 p.m.