mseIPCW: Mean Square Error (mse) for a survival Object

In dnn: Deep Neural Network Tools for Probability and Statistic Models

Mean Square Error (mse) for a survival Object

Description

Compute Mean Square Error (mse) values for a survival object

Usage

## S3 method for class 'deepAFT'
mseIPCW(object, newdata, newy)

Arguments

object	the results of a model fit using a deepAFT or a survreg function.
newdata	optional new data at which to do predictions. If absent, predictions are for the dataframe used in the original fit.
newy	optional new outcome variable y.

Details

predict is called to predict object from a deepAFT deepAFT or a survreg model.

IPCW method is used to calcuate the mean square error for censored survival time.

Value

mseIPCW returns the mse for the predicted survival data.

Author(s)

Bingshu E. Chen

See Also

The default method for predict predict, deepAFT, survfit.dSurv

dnn documentation built on May 29, 2024, 1:48 a.m.