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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fsemipar" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric
  Models'
version: 1.1.1
doi: 10.32614/CRAN.package.fsemipar
abstract: 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.
authors:
- family-names: Aneiros
  given-names: German
  email: german.aneiros@udc.es
- family-names: Novo
  given-names: Silvia
  email: snovo@est-econ.uc3m.es
repository: https://silvianovo.r-universe.dev
commit: 080e003a1e64a2195ce2eddf527c5fb1479db440
date-released: '2024-05-21'
contact:
- family-names: Novo
  given-names: Silvia
  email: snovo@est-econ.uc3m.es