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


Reference manual: fsemipar.pdf


Package source: fsemipar_1.0.1.tar.gz
Windows binaries: r-prerel: fsemipar_1.0.1.zip, r-release: fsemipar_1.0.1.zip, r-oldrel: fsemipar_1.0.1.zip
macOS binaries: r-prerel (arm64): fsemipar_1.0.1.tgz, r-release (arm64): fsemipar_1.0.1.tgz, r-oldrel (arm64): fsemipar_1.0.1.tgz, r-prerel (x86_64): fsemipar_1.0.1.tgz, r-release (x86_64): fsemipar_1.0.1.tgz
Old sources: fsemipar archive


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