predict.scar

A fitted <code>scar</code> object produced by <code><a href="/link/scar?package=scar&version=0.2-0" rd-options="" data-mini-rdoc="scar::scar">scar</a></code>.

object

An optional numeric <code>matrix</code> 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 
          covari

newdata

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

type

An integer describing how to handle the new data outside the range of the 
          observed covariates. If <code>rule=1</code>, then we use linear interpolation to get 
          the value of each fitted component function outside the range of observed 

rule

Further arguments passed to or from other methods.

This function obtains predictions from a fitted <code>scar</code> object.

multivariate

nonparametric

prediction

This package computes the maximum likelihood estimator of the generalised additive and index regression with shape constraints. Each additive component function is assumed to obey one of the nine possible shape restrictions: linear, increasing, decreasing, convex, convex increasing, convex decreasing, concave, concave increasing, or concave decreasing.

predict.scar: Predict method for `scar` fits

Description

Usage

Arguments

Value

See Also

Examples