cgam: Constrained Generalized Additive Model

In this package, a constrained generalized additive model is fitted by the cgam routine. Given a set of predictors with or without shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The cone information criterion (CIC) may be used to select the best combination of variables and shapes. This package depends on the R package coneproj.

Version: 1.2
Depends: coneproj (≥ 1.3), R (≥ 3.0.2)
Suggests: stats, MASS, graphics, grDevices, utils
Published: 2014-09-10
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <xiyue at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: cgam results


Reference manual: cgam.pdf
Package source: cgam_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: cgam_1.2.tgz, r-oldrel: cgam_1.2.tgz
OS X Mavericks binaries: r-release: cgam_1.2.tgz
Old sources: cgam archive