scam: Shape Constrained Additive Models

Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. 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]>
MaintainerNatalya Pya <[email protected]>
LicenseGPL (>= 2)
Version1.2-3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scam")

Try the scam package in your browser

Any scripts or data that you put into this service are public.

scam documentation built on Sept. 26, 2018, 1:04 a.m.