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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 "penppml" in publications use:'
type: software
license: MIT
title: 'penppml: Penalized Poisson Pseudo Maximum Likelihood Regression'
version: 0.2.4
doi: 10.32614/CRAN.package.penppml
abstract: A set of tools that enables efficient estimation of penalized Poisson Pseudo
  Maximum Likelihood regressions, using lasso or ridge penalties, for models that
  feature one or more sets of high-dimensional fixed effects. The methodology is based
  on Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021) <http://hdl.handle.net/10986/35451>
  and takes advantage of the method of alternating projections of Gaure (2013) <https://doi.org/10.1016/j.csda.2013.03.024>
  for dealing with HDFE, as well as the coordinate descent algorithm of Friedman,
  Hastie and Tibshirani (2010) <https://doi.org/10.18637/jss.v033.i01> for fitting
  lasso regressions. The package is also able to carry out cross-validation and to
  implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016) <https://doi.org/10.1080/07350015.2015.1102733>.
authors:
- family-names: Ferreras Garrucho
  given-names: Diego
  email: d.ferreras-garrucho@lse.ac.uk
- family-names: Zylkin
  given-names: Tom
  email: tzylkin@richmond.edu
- family-names: Cruz
  given-names: Joao
  email: joaocruz@iseg.ulisboa.pt
repository: https://CRAN.R-project.org/package=penppml
repository-code: https://github.com/tomzylkin/penppml
url: https://github.com/tomzylkin/penppml
date-released: '2025-02-08'
contact:
- family-names: Cruz
  given-names: Joao
  email: joaocruz@iseg.ulisboa.pt