predict.survSL.expreg: Prediction functions for parametric survival model prediction...

In tedwestling/survSuperLearner: Super Learning for Conditional Survival Functions with Right-Censored Data

Prediction functions for parametric survival model prediction algorithms

Description

Obtains predicted survivals from a fitted parametric survival regression object.

Usage

## S3 method for class 'survSL.expreg'
predict(object, newX, new.times, ...)

## S3 method for class 'survSL.weibreg'
predict(object, newX, new.times, ...)

## S3 method for class 'survSL.loglogreg'
predict(object, newX, new.times, ...)

Arguments

object	Fitted survSL.expreg, survSL.weibreg, etc. object.
newX	New covariate data.frame for which to obtain predictions.
new.times	Times at which to obtain to obtain the predicted survivals.
...	Additional ignored arguments.

Value

Matrix of predictions, with the same number of rows as newX and number of columns equal to the length of new.times. Rows index new observations, and columns index new times at which the survival was computed.

tedwestling/survSuperLearner documentation built on Dec. 12, 2024, 4:16 p.m.