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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 "reglogit" in publications use:'
type: software
license: LGPL-2.0-only
title: 'reglogit: Simulation-Based Regularized Logistic Regression'
version: 1.2-7
doi: 10.32614/CRAN.package.reglogit
abstract: Regularized (polychotomous) logistic regression by Gibbs sampling. The package
  implements subtly different MCMC schemes with varying efficiency depending on the
  data type (binary v. binomial, say) and the desired estimator (regularized maximum
  likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified
  interface. For details, see Gramacy & Polson (2012 <https://doi.org/10.1214/12-BA719>).
authors:
- family-names: Gramacy
  given-names: Robert B.
  email: rbg@vt.edu
- email: rbg@vt.edu
repository: https://rbgramacy.r-universe.dev
commit: 2d19b31353b36bda9defbb7cfaf0d6f54440abe7
url: https://bobby.gramacy.com/r_packages/reglogit/
date-released: '2023-04-21'
contact:
- family-names: Gramacy
  given-names: Robert B.
  email: rbg@vt.edu
- email: rbg@vt.edu