predict.lple: predict a lple object

In statapps/lpl: Local Partial Likelihood Estimation and Simultaneous Confidence Band

Description

Compute fitted values and prediction error for a model fitted by lple

Usage

## S3 method for class 'lple'
## S3 method for class 'lple'
predict(object, newdata, newy=NULL, ...)
## S3 method for class 'lple'
residuals(object, type=c("martingale", "deviance"), ...)

Arguments

object	a model object from the lple fit
newdata	optional new data at which to do predictions. If absent, predictions are for the dataframe used in the original fit
newy	optional new response data. Default is NULL
type	type of residuals, the default is a martingale residual
...	additional arguments affecting the predictions produced

Details

predict.lple is called to predict object from the lple model lple.

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

Value

predict.lple returns a list of predicted values, prediction error and residuals.

lp	linear predictor of beta(w)*Z, where beta(w) is the fitted regression coefficient and Z is covariance matrix.
risk	risk score, exp(lp). When new y is provided, both lp and risk will be ordered by survival time of the new y.
residuals	martingale residuals of the prediction, if available.
pe.mres	prediction error based on martingale residual, if both new data and new y is provided.
cumhaz	cumulative hzard function.
time	time for cumulative hazard function. Time from new y will be used is provided

Author(s)

Bingshu E. Chen

See Also

The default method for predict predict,

For the Cox model prediction: predict.coxph. #survfit.lple

Examples

#  fit = lple(y~x+z, data = dat)
#  predict(fit)
#

statapps/lpl documentation built on Dec. 23, 2021, 5:27 a.m.