scam: Shape Constrained Additive Models

Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor. 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.

Version: 1.1-9
Depends: R (≥ 2.15.0), mgcv (≥ 1.8-2)
Imports: methods, stats, graphics, Matrix, splines
Suggests: nlme
Published: 2015-06-19
Author: Natalya Pya
Maintainer: Natalya Pya <nat.pya at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: scam results


Reference manual: scam.pdf
Package source: scam_1.1-9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: scam_1.1-9.tgz, r-oldrel: scam_1.1-8.tgz
OS X Mavericks binaries: r-release: scam_1.1-9.tgz
Old sources: scam archive

Reverse dependencies:

Reverse suggests: schumaker