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
mgcv(gam) package 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: |
1.1-1 |
| Depends: |
R (≥ 2.3.0) |
| Imports: |
mgcv, graphics, stats |
| Suggests: |
mgcv, splines, Matrix |
| Published: |
2012-01-28 |
| Author: |
Natalya Pya |
| Maintainer: |
Natalya Pya <n.y.pya at bath.ac.uk> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
scam results |
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