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Routines for the estimation or simultaneous estimation and variable selection in several functional semiparametric models with scalar responses are provided. These models include the functional single-index model, the semi-functional partial linear model, and the semi-functional partial linear single-index model. Additionally, the package offers algorithms for handling scalar covariates with linear effects that originate from the discretization of a curve. This functionality is applicable in the context of the linear model, the multi-functional partial linear model, and the multi-functional partial linear single-index model.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0), grpreg |
| Imports: | DiceKriging, splines, gtools, stats, parallelly, doParallel, parallel, foreach, ggplot2, gridExtra, tidyr |
| Published: | 2024-04-27 |
| 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 |
| Reference manual: | fsemipar.pdf |
| Package source: | fsemipar_1.1.0.tar.gz |
| Windows binaries: | r-devel: fsemipar_1.1.0.zip, r-release: fsemipar_1.1.0.zip, r-oldrel: fsemipar_1.1.0.zip |
| macOS binaries: | r-release (arm64): fsemipar_1.1.0.tgz, r-oldrel (arm64): fsemipar_1.1.0.tgz, r-release (x86_64): fsemipar_1.1.0.tgz, r-oldrel (x86_64): fsemipar_1.1.0.tgz |
| Old sources: | fsemipar archive |
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