predict.SL.flexsurv: Prediction method for accelerated failure time models

In wuziyueemory/twostageSL: Two-Stage Super Learner Prediction Function

Description

The numerical integration step can be unstable and we have tried to build in checks to guard against this. In particular, we first try to integrate with upper limit = Inf, but if that fails move to 1e8, which sometimes is able to provide a sane answer when upper limit = Inf fails. The function keeps trying smaller and smaller values, but will not go smaller than 1e6. In that case it returns a random number between 0 and object$randomUpper.

Usage

## S3 method for class 'SL.flexsurv'
predict(object, newdata, ...)

Arguments

object	An object of class SL.smearglm
newdata	A data.frame to generate predictions for
...	Other arguments (unused)

Value

A vector of numeric predictions

wuziyueemory/twostageSL documentation built on Oct. 19, 2020, 3:45 p.m.