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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "BDWreg" in publications use:'
type: software
license: LGPL-2.0-or-later
title: 'BDWreg: Bayesian Inference for Discrete Weibull Regression'
version: 1.2.0
doi: 10.32614/CRAN.package.BDWreg
abstract: A Bayesian regression model for discrete response, where the conditional
  distribution is modelled via a discrete Weibull distribution. This package provides
  an implementation of Metropolis-Hastings and Reversible-Jumps algorithms to draw
  samples from the posterior. It covers a wide range of regularizations through any
  two parameter prior. Examples are Laplace (Lasso), Gaussian (ridge), Uniform, Cauchy
  and customized priors like a mixture of priors. An extensive visual toolbox is included
  to check the validity of the results as well as several measures of goodness-of-fit.
authors:
- family-names: Haselimashhadi
  given-names: Hamed
  email: hamedhaseli@gmail.com
repository: https://hamedhm.r-universe.dev
commit: aabf2aa8e44b1544baae696f949246ba09beb68f
url: http://hamedhaseli.webs.com
date-released: '2017-02-16'
contact:
- family-names: Haselimashhadi
  given-names: Hamed
  email: hamedhaseli@gmail.com