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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 "EMSS" in publications use:'
type: software
license: GPL-2.0-only
title: 'EMSS: Some EM-Type Estimation Methods for the Heckman Selection Model'
version: 1.1.1
doi: 10.32614/CRAN.package.EMSS
abstract: 'Some EM-type algorithms to estimate parameters for the well-known Heckman
  selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional
  Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional
  Maximization Either). Since the algorithms are based on the EM algorithm, they also
  have EM’s main advantages, namely, stability and ease of implementation. Further
  details and explanations of the algorithms can be found in Zhao et al. (2020) <https://doi.org/
  10.1016/j.csda.2020.106930>.'
authors:
- family-names: Lee
  given-names: Sang Kyu
  email: leesa111@msu.edu
- family-names: Yang
  given-names: Kexuan
  email: 717260446@qq.com
- family-names: Zhao
  given-names: Jun
  email: zhaojun2021@hotmail.com
- family-names: Kim
  given-names: Hyoung-Moon
  email: hmk966a@gmail.com
repository: https://sangkyustat.r-universe.dev
repository-code: https://github.com/SangkyuStat/EMSS
commit: d7a3e1724cce79a4f856c33596c9102ee11d01d5
url: https://github.com/SangkyuStat/EMSS
contact:
- family-names: Lee
  given-names: Sang Kyu
  email: leesa111@msu.edu