Package: scam
Version: 1.2-12
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>
Title: Shape Constrained Additive Models
Date: 2021-08-10
Description: 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.
Depends: R (>= 2.15.0), mgcv (>= 1.8-2)
Imports: methods, stats, graphics, Matrix, splines
Suggests: nlme
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2021-08-10 13:41:25 UTC; natalya
Repository: CRAN
Date/Publication: 2021-08-10 14:40:02 UTC
Built: R 4.1.1; x86_64-w64-mingw32; 2021-11-02 09:52:00 UTC; windows
Archs: x64
