Package: fsemipar
Type: Package
Title: Estimation, Variable Selection and Prediction for Functional
        Semiparametric Models
Version: 1.1.0
Date: 2024-04-27
Authors@R: c(
  person("German", "Aneiros",  role =c("aut"), email= "german.aneiros@udc.es"),
  person("Silvia", "Novo", role = c("aut","cre"), email="snovo@est-econ.uc3m.es"))
Author: German Aneiros [aut],
  Silvia Novo [aut, cre]
Depends: R (>= 3.5.0), grpreg
Imports: DiceKriging, splines, gtools, stats, parallelly, doParallel,
        parallel, foreach, ggplot2, gridExtra, tidyr
Maintainer: Silvia Novo <snovo@est-econ.uc3m.es>
Description: 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. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-04-27 18:44:02 UTC; Silvia
Repository: CRAN
Date/Publication: 2024-04-27 19:00:02 UTC
Built: R 4.3.2; ; 2024-04-27 20:17:28 UTC; unix
