Package: fsemipar
Type: Package
Title: Estimation, Variable Selection and Prediction for Functional
        Semiparametric Models
Version: 1.0.1
Date: 2024-02-17
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), splines, gtools, grpreg, DiceKriging, graphics,
        stats
Maintainer: Silvia Novo <snovo@est-econ.uc3m.es>
Description: 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. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-02-17 15:56:10 UTC; Silvia
Repository: CRAN
Date/Publication: 2024-02-21 10:20:02 UTC
Built: R 4.2.3; ; 2024-04-24 01:41:30 UTC; windows
