predictSurvProb.deeppam: Predicting Survival Probabilites

In pkopper/deeppam: Machine Learning for Time-to-Event Data with Semi-Structured Deep Piecewise Additive Models

Description

Function to extract survival probability predictions from deeppam. This function works only with pec::pec.

Usage

## S3 method for class 'deeppam'
predictSurvProb(object, newdata, times)

Arguments

object	a keras model (deeppam object).
newdata	A data frame containing predictor variable combinations for which to compute predicted survival probabilities.
times	A vector of times in the range of the response variable, e.g. times when the response is a survival object, at which to return the survival probabilities.

Value

A matrix with as many rows as NROW(newdata) and as many columns as length(times). Each entry should be a probability and in rows the values should be decreasing.

Author(s)

Philipp Kopper, Andreas Bender

pkopper/deeppam documentation built on Jan. 19, 2021, 12:39 a.m.