predict.scar: Predict method for 'scar' fits

In scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach

Predict method for scar fits

Description

This function obtains predictions from a fitted scar object.

Usage

## S3 method for class 'scar'
predict(object, newdata, type = c("link", "response"), rule=1, ...)

Arguments

object	A fitted scar object produced by scar.
newdata	An optional numeric matrix of d columns, with each row specifying a location at which prediction is required. This argument can be missing, in which case predictions are made at the same values of the covariates used to compute the object.
type	Type of predictions, with choices "link" (the default), or "response". The default produces predictions on the scale of the additive predictors. If "response" is selected, the predictions are on the scale of the response (i.e. mean of the exponential family), and are monotone transformations of the additive predictors using the inverse link function.
rule	An integer describing how to handle the new data outside the range of the observed covariates. If rule=1, then we use linear interpolation to get the value of each fitted component function outside the range of observed covariates. Otherwise if rule=2, then the value at the closest data extreme is used. Note that if there is convex/concave component, the choice of the first rule can lead to somewhat unsatifactary performance on/outside the boundary of the data (when comparing to the second rule).
...	Further arguments passed to or from other methods.

Value

A numeric vector of predictions.

Author(s)

Yining Chen and Richard Samworth

See Also

scar, plot.scar

Examples

## See examples for the function scar

scar documentation built on May 28, 2022, 1:22 a.m.