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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "FactorHet" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'FactorHet: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping
  and Sparsity'
version: 1.0.0
doi: 10.32614/CRAN.package.FactorHet
abstract: Estimates heterogeneous effects in factorial (and conjoint) models. The
  methodology employs a Bayesian finite mixture of regularized logistic regressions,
  where moderators can affect each observation's probability of group membership and
  a sparsity-inducing prior fuses together levels of each factor while respecting
  ANOVA-style sum-to-zero constraints. Goplerud, Imai, and Pashley (2024) <https://doi.org/10.48550/ARXIV.2201.01357>
  provide further details.
authors:
- family-names: Goplerud
  given-names: Max
  email: mgoplerud@austin.utexas.edu
- family-names: Pashley
  given-names: Nicole E.
  email: nicole.pashley@rutgers.edu
- family-names: Imai
  given-names: Kosuke
  email: imai@harvard.edu
repository: https://mgoplerud.r-universe.dev
repository-code: https://github.com/mgoplerud/FactorHet
commit: eaa6e84cb05064c7d86c9d73b16b23ae090bb4e9
url: https://github.com/mgoplerud/FactorHet
date-released: '2025-01-08'
contact:
- family-names: Goplerud
  given-names: Max
  email: mgoplerud@austin.utexas.edu