scam: Shape Constrained Additive Models
Version 1.2-1

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 <nat.pya@gmail.com>
Date of publication2017-02-16 17:27:51
MaintainerNatalya Pya <nat.pya@gmail.com>
LicenseGPL (>= 2)
Version1.2-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scam")

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scam documentation built on May 29, 2017, 6:38 p.m.