print.scam

fitted model objects of class <code>scam</code> as produced by <code>scam()</code>.

The default print method for a <code>scam</code> object. The code is a clone of <code>print.gam</code>
of the <code>mgcv</code> package with a slight simplification since only two methods of smoothing parameter 
selection (by GCV or UBRE) was implemented for <code>scam</code>.

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.

print.scam: Print a SCAM object

Description

Usage

Arguments

Details

References

See Also