residuals.scam

a <code>scam</code> fitted model object.

object

type

This function is a clone of the <code>mgcv</code> library code <code><a rd-options="" href="/link/residuals.gam?package=scam&version=1.2-5" data-mini-rdoc="scam::residuals.gam">residuals.gam</a></code>.
It returns residuals for a fitted <code>scam</code> model
 object. Pearson, deviance, working and response residuals are
 available.

models

regression

smooth

Routines for generalized additive modelling under shape
constraints on the component functions of the linear predictor
(Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>.
Models can contain multiple shape constrained (univariate
and/or bivariate) and unconstrained terms. The routines of gam()
in package 'mgcv' are used for setting up the model matrix,
printing and plotting the results. Penalized likelihood
maximization based on Newton-Raphson method is used to fit a
model with multiple smoothing parameter selection by GCV or
UBRE/AIC.

Natalya Pya

scam

Shape Constrained Additive Models

residuals.scam function

This function is a clone of the <code>mgcv</code> library code <code><a rd-options='' href='residuals.gam'>residuals.gam</a></code>.
It returns residuals for a fitted <code>scam</code> model
 object. Pearson, deviance, working and response residuals are
 available.

residuals.scam: SCAM residuals

Description

Usage

Arguments

Value

Details

See Also