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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1.2-11 by Natalya Pya, 4 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 CAST, gratia, riskRegression, schumaker.

See at CRAN