Package: fsemipar
Type: Package
Title: Estimation, Variable Selection and Prediction for Functional
        Semiparametric Models
Version: 1.1.1
Date: 2024-05-21
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: 2026-07-21 04:56:13 UTC; root
Config/pak/sysreqs: libicu-dev
Repository: https://silvianovo.r-universe.dev
Date/Publication: 2024-05-22 02:40:16 UTC
RemoteUrl: https://github.com/cran/fsemipar
RemoteRef: HEAD
RemoteSha: 080e003a1e64a2195ce2eddf527c5fb1479db440