residuals.scam

object

type

This function is a clone of the <code>mgcv</code> library code <code><a href="/link/residuals.gam?package=scam&version=1.0" rd-options="" 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.
        Models can contain multiple shape constrained (univariate
        and/or bivariate) and unconstrained terms. The routines of
        mgcv(gam) package are used for setting up the model matrix,
        printing and plotting the results.  Penalized likelihood
        maximization based on Newton-Raphson method to fit a model with
        multiple smoothing parameter selection by GCV or UBRE/AIC.

residuals.scam: SCAM residuals

Description

Usage

Arguments

Value

Details

See Also