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scam (version 1.0)
Shape constrained additive models
Description
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.