print: print a summary of fitted deep learning model object

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

print a summary of fitted deep learning model object

Description

print is used to provide a short summary of outputs from deepAFT, deepSurv, deepGLM, and dNNmodel.

Usage

## S3 method for class 'deepAFT'
print(x, ...)
## S3 method for class 'summary.deepAFT'
print(x, ...)
## S3 method for class 'deepAFT'
summary(object, ...)

## S3 method for class 'dNNmodel'
print(x, ...)
## S3 method for class 'dNNmodel'
summary(object, ...)

Arguments

x	a class returned from deepAFT, deepSurv, deepGLM model fit or a dNNmodel
object	a class of deepAFT object
...	other options used in print()

Details

print.deepAFT is called to print object or summary of object from the deep learning AFT models deepAFT. summary(fit) provides detail summary of ‘deepAFT’ model fit, including predictors, baseline survival function for T0=T/exp(mu), and martingale residuals for the fitted model.

print.dNNmodel is called to print object or summary of object from the dNNmodel.

The default method, print.default has its own help page. Use methods("print") to get all the methods for the print generic.

Value

An object of class "summary.deepAFT" is returned. The object contains the following list components:

location	location parameter exp(mu), to predice the mean value of survival time.
sfit	survfit object of the baselie survival function of T0=T/exp(mu).
cindex	Concordance index of the fitted deepAFT model.
resid	martingle residuals of the fitted deepAFT model.
method	the model used to fit the deepAFT model.

Author(s)

Bingshu E. Chen

See Also

The default method for print print.default. Other methods include survreg, deepAFT, summary

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