| Name : R-cgam
| |
| Version : 1.21
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.5.1
| Date : 2024-06-20 15:09:19
|
| Group : Development/Libraries/Other
| Source RPM : R-cgam-1.21-lp155.5.1.src.rpm
|
| Size : 0.98 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Constrained Generalized Additive Model
|
Description :
A constrained generalized additive model is fitted by the cgam routine.
Given a set of predictors, each of which may have a 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 ShapeSelect routine chooses a subset of
predictor variables and describes the component relationships with the
response. For each predictor, the user needs only specify a set of
possible shape or order restrictions. A model selection method chooses
the shapes and orderings of the relationships as well as the variables.
The cone information criterion (CIC) is used to select the best
combination of variables and shapes. A genetic algorithm may be used
when the set of possible models is large. In addition, the cgam routine
implements a two-dimensional isotonic regression using warped-plane
splines without additivity assumptions. It can also fit a convex or
concave regression surface with triangle splines without additivity
assumptions. See Liao X, Meyer MC (2019)< doi:10.18637/jss.v089.i05> for
more details.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
