scam: Shape Constrained Additive Models
Version 1.2-2

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.

Package details

AuthorNatalya Pya <[email protected]>
Date of publication2017-09-24 13:02:32 UTC
MaintainerNatalya Pya <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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scam documentation built on Sept. 24, 2017, 5:02 p.m.