fsemipar.internal

<p>The package includes the following internal functions, based on the code by F. Ferraty, which is available on his website at <a href="https://www.math.univ-toulouse.fr/~ferraty/SOFTWARES/NPFDA/index.html">https://www.math.univ-toulouse.fr/~ferraty/SOFTWARES/NPFDA/index.html</a>.</p>

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.

Silvia Novo

fsemipar

Estimation, Variable Selection and Prediction for Functional
Semiparametric Models

German Aneiros

fsemipar.internal function

<p>The package includes the following internal functions, based on the code by F. Ferraty, which is available on his website at <a href='https://www.math.univ-toulouse.fr/~ferraty/SOFTWARES/NPFDA/index.html'>https://www.math.univ-toulouse.fr/~ferraty/SOFTWARES/NPFDA/index.html</a>.</p>

fsemipar.internal: Package fsemipar internal functions

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