# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "cgam" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'cgam: Constrained Generalized Additive Model'
version: '1.21'
identifiers:
- type: doi
  value: 10.32614/CRAN.package.cgam
abstract: A constrained generalized additive model is fitted by the cgam routine.
  Given a set of predictors, each of which may have a shape or order restrictions,
  the maximum likelihood estimator for the constrained generalized additive model
  is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect
  routine chooses a subset of predictor variables and describes the component relationships
  with the response. For each predictor, the user needs only specify a set of possible
  shape or order restrictions. A model selection method chooses the shapes and orderings
  of the relationships as well as the variables. The cone information criterion (CIC)
  is used to select the best combination of variables and shapes. A genetic algorithm
  may be used when the set of possible models is large. In addition, the cgam routine
  implements a two-dimensional isotonic regression using warped-plane splines without
  additivity assumptions. It can also fit a convex or concave regression surface with
  triangle splines without additivity assumptions. See Liao X, Meyer MC (2019)<https://doi.org/10.18637/jss.v089.i05>
  for more details.
authors:
- family-names: Meyer
  given-names: Mary
  email: meyer@stat.colostate.edu
- family-names: Liao
  given-names: Xiyue
  email: xliao@sdsu.edu
  orcid: https://orcid.org/0000-0002-4508-9219
preferred-citation:
  type: article
  title: 'cgam: An R Package for the Constrained Generalized Additive Model'
  authors:
  - family-names: Liao
    given-names: Xiyue
    email: xiyue@rams.colostate.edu
    orcid: https://orcid.org/0000-0002-4508-9219
  - family-names: Meyer
    given-names: Mary C.
    email: meyer@stat.colostate.edu
  journal: Journal of Statistical Software
  year: '2019'
  volume: '89'
  issue: '5'
  start: '1'
  end: '24'
repository: https://xliaosdsu.r-universe.dev
commit: 178333fcef5ded06badb8548ed5b29b43da42846
date-released: '2023-08-09'
contact:
- family-names: Liao
  given-names: Xiyue
  email: xliao@sdsu.edu
  orcid: https://orcid.org/0000-0002-4508-9219