Shape Constrained Additive Models

Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) . 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.


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install.packages("scam")

1.2-11 by Natalya Pya, 12 days ago


Browse source code at https://github.com/cran/scam


Authors: Natalya Pya <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, stats, graphics, Matrix, splines

Depends on mgcv

Suggests nlme


Imported by FlexGAM, GJRM, reReg, sspse, trackeR.

Depended on by zetadiv.

Suggested by CAST, gratia, riskRegression, schumaker.


See at CRAN