scam : Shape Constrained Additive Models

Package: scam
Version: 1.2-0
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>
Title: Shape Constrained Additive Models
Date: 2016-06-02
Description: 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.
Depends: R (>= 2.15.0), mgcv (>= 1.8-2)
Imports: methods, stats, graphics, Matrix, splines
Suggests: nlme
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-06-02 07:03:21 UTC; natalya
Repository: CRAN
Date/Publication: 2016-06-02 09:43:01