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# CITATION.cff 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 "glmdisc" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'glmdisc: Discretization and Grouping for Logistic Regression'
version: '0.6'
abstract: A Stochastic-Expectation-Maximization (SEM) algorithm (Celeux et al. (1995)
  <https://hal.inria.fr/inria-00074164>) associated with a Gibbs sampler which purpose
  is to learn a constrained representation for logistic regression that is called
  quantization (Ehrhardt et al. (2019) <arXiv:1903.08920>). Continuous features are
  discretized and categorical features' values are grouped to produce a better logistic
  regression model. Pairwise interactions between quantized features are dynamically
  added to the model through a Metropolis-Hastings algorithm (Hastings, W. K. (1970)
  <https://doi.org/10.1093/biomet/57.1.97>).
authors:
- family-names: Ehrhardt
  given-names: Adrien
  email: adrien.ehrhardt@centraliens-lille.org
- family-names: Vandewalle
  given-names: Vincent
  email: vincent.vandewalle@inria.fr
preferred-citation:
  type: manual
  title: 'scoring: Credit Scoring tools'
  authors:
  - family-names: Ehrhardt
    given-names: Adrien
    email: adrien.ehrhardt@centraliens-lille.org
  year: '2018'
  url: https://CRAN.R-project.org/package=scoring
repository: https://cran.r-universe.dev
repository-code: https://github.com/adimajo/glmdisc
commit: d9ac9e4bd0f57a4c7a9189fc716f23a80b635d5a
url: https://adimajo.github.io
date-released: '2020-09-30'
contact:
- family-names: Ehrhardt
  given-names: Adrien
  email: adrien.ehrhardt@centraliens-lille.org