# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "GeDS" in publications use:'
type: software
license: GPL-3.0-only
title: 'GeDS: Geometrically Designed Spline Regression'
version: 0.3.5
doi: 10.32614/CRAN.package.GeDS
identifiers:
- type: doi
  value: 10.32614/CRAN.package.GeDS
abstract: Spline regression, generalized additive models and component-wise gradient
  boosting utilizing geometrically designed (GeD) splines. GeDS regression is a non-parametric
  method inspired by geometric principles, for fitting spline regression models with
  variable knots in one or two independent variables. It efficiently estimates the
  number of knots and their positions, as well as the spline order, assuming the response
  variable follows a distribution from the exponential family. GeDS models integrate
  the broader category of generalized (non-)linear models, offering a flexible approach
  to model complex relationships. A description of the method can be found in Kaishev
  et al. (2016) <https://doi.org/10.1007/s00180-015-0621-7> and Dimitrova et al. (2023)
  <https://doi.org/10.1016/j.amc.2022.127493>. Further extending its capabilities,
  GeDS's implementation includes generalized additive models (GAM) and functional
  gradient boosting (FGB), enabling versatile multivariate predictor modeling, as
  discussed in the forthcoming work of Dimitrova et al. (2026).
authors:
- family-names: Dimitrova
  given-names: Dimitrina S.
  email: D.Dimitrova@citystgeorges.ac.uk
- family-names: Kaishev
  given-names: Vladimir K.
  email: Vladimir.Kaishev.1@citystgeorges.ac.uk
- family-names: Lattuada
  given-names: Andrea
  email: Andrea.Lattuada@hotmail.com
- family-names: Sáenz Guillén
  given-names: Emilio L.
  email: emilioluissaenzguillen@gmail.com
- family-names: Verrall
  given-names: Richard J.
  email: R.J.Verrall@citystgeorges.ac.uk
preferred-citation:
  type: manual
  title: 'GeDS: Geometrically Designed Spline Regression'
  authors:
  - family-names: Dimitrova
    given-names: Dimitrina S.
    email: D.Dimitrova@citystgeorges.ac.uk
  - family-names: Kaishev
    given-names: Vladimir K.
    email: Vladimir.Kaishev.1@citystgeorges.ac.uk
  - family-names: Lattuada
    given-names: Andrea
    email: Andrea.Lattuada@hotmail.com
  - family-names: Sáenz Guillén
    given-names: Emilio L.
    email: emilioluissaenzguillen@gmail.com
  - family-names: Verrall
    given-names: Richard J.
    email: R.J.Verrall@citystgeorges.ac.uk
  year: '2026'
  notes: R package version 0.3.5
  doi: 10.32614/CRAN.package.GeDS
  url: https://CRAN.R-project.org/package=GeDS
repository: https://cran.r-universe.dev
repository-code: https://github.com/emilioluissaenzguillen/GeDS
commit: 724720d9c3600dfd4e51f1e3f91c79feaac12115
url: https://github.com/emilioluissaenzguillen/GeDS
date-released: '2026-07-16'
contact:
- family-names: Sáenz Guillén
  given-names: Emilio L.
  email: emilioluissaenzguillen@gmail.com