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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 "glemb" in publications use:'
type: software
license: GPL-3.0-only
title: 'glemb: Multiple Imputation Using the General Location Model with the EMB Algorithm'
version: 0.1.4
abstract: Provides multiple imputation for mixed continuous and categorical data using
  the General Location Model (Olkin and Tate (1961) <https://doi.org/10.1214/aoms/1177705052>;
  Little and Schluchter (1985) <https://doi.org/10.1093/biomet/72.3.497>) combined
  with the Expectation-Maximization with Bootstrapping (EMB) algorithm of Honaker,
  King and Blackwell (2011) <https://doi.org/10.18637/jss.v045.i07>. Categorical variables
  are specified via the noms option; all other variables are treated as continuous.
  The package wraps the EM implementation in the 'mix' package and extends it with
  a bootstrap wrapper to produce proper multiple imputations in the sense of Rubin
  (1987, ISBN:978-0-471-08705-2).
authors:
- family-names: Allison
  given-names: Paul
  email: allison@statisticalhorizons.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/pauldallison/glemb
commit: a82755cc9150d9c1c3054b855c919b213a5ceafb
url: https://github.com/pauldallison/glemb
date-released: '2026-10-15'
contact:
- family-names: Allison
  given-names: Paul
  email: allison@statisticalhorizons.com