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.


Reference manual

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1.2-5 by Natalya Pya, 6 months ago

Browse source code at

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 gratia, schumaker.

See at CRAN