fsemipar: Estimation, Variable Selection and Prediction for Functional
Semiparametric Models
Routines for estimation or simultaneous estimation and variable selection of several functional semiparametric models with scalar response, such as the functional single-index model, the semi-functional partial linear model or the semi-functional partial linear single-index model. In addition, it includes algorithms for dealing with scalar covariates with linear effect coming from the discretization of a curve in the cases of the linear model, the multi-functional partial linear model and the multi-functional partial linear single-index model.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0), splines, gtools, grpreg, DiceKriging, graphics, stats |
| Published: |
2024-02-21 |
| Author: |
German Aneiros [aut],
Silvia Novo [aut, cre] |
| Maintainer: |
Silvia Novo <snovo at est-econ.uc3m.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
fsemipar results |
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