plot.scair

A fitted <code>scair</code> object produced 
 by <code><a rd-options="" href="/link/scair?package=scar&version=0.2-2" data-mini-rdoc="scar::scair">scair</a></code>.

A numeric vector indicates the required plots.

whichplot

A <code>logical</code> scalar that indicates whether the data points 
 should be plotted as circles on the fitted curves of each component.

addp

Other arguments passed to <code>plot</code>.

This function takes a fitted <code>scair</code> object produced 
 by <code><a rd-options="" href="/link/scair?package=scar&version=0.2-2" data-mini-rdoc="scar::scair">scair</a></code> and plots the component functions of the additive indices
 that make it up, on the scale of the additive index predictors.

 hplot

 dplot 

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. For details, see Chen and Samworth (2016) <doi:10.1111/rssb.12137>.

Yining Chen

scar

Shape-Constrained Additive Regression: a Maximum Likelihood
Approach

plot.scair function

A fitted <code>scair</code> object produced 
 by <code><a rd-options='' href='scair'>scair</a></code>.

This function takes a fitted <code>scair</code> object produced 
 by <code><a rd-options='' href='scair'>scair</a></code> and plots the component functions of the additive indices
 that make it up, on the scale of the additive index predictors.

plot.scair: Plot additive index components of a "scair" object

Description

Usage

Arguments

Details

See Also

Examples