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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: | 1.1.1 |
Depends: | R (≥ 3.5.0), grpreg |
Imports: | DiceKriging, splines, gtools, stats, parallelly, doParallel, parallel, foreach, ggplot2, gridExtra, tidyr |
Published: | 2024-05-21 |
DOI: | 10.32614/CRAN.package.fsemipar |
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_1.1.1.tar.gz |
Windows binaries: | r-devel: fsemipar_1.1.1.zip, r-release: fsemipar_1.1.1.zip, r-oldrel: fsemipar_1.1.1.zip |
macOS binaries: | r-release (arm64): fsemipar_1.1.1.tgz, r-oldrel (arm64): fsemipar_1.1.1.tgz, r-release (x86_64): fsemipar_1.1.1.tgz, r-oldrel (x86_64): fsemipar_1.1.1.tgz |
Old sources: | fsemipar archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.