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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 "HeckmanStan" in publications use:'
type: software
license: GPL-3.0-only
title: 'HeckmanStan: Heckman Selection Models Based on Bayesian Analysis'
version: 1.0.0
doi: 10.32614/CRAN.package.HeckmanStan
abstract: Implements Heckman selection models using a Bayesian approach via 'Stan'
  and compares the performance of normal, Student’s t, and contaminated normal distributions
  in addressing complexities and selection bias (Heeju Lim, Victor E. Lachos, and
  Victor H. Lachos, Bayesian analysis of flexible Heckman selection models using Hamiltonian
  Monte Carlo, 2025, under submission).
authors:
- family-names: Lim
  given-names: Heeju
  email: heeju.lim@uconn.edu
- family-names: Lachos
  given-names: Victor E.
  email: elachoso27@gmail.com
- family-names: Lachos
  given-names: Victor H.
  email: hlachos@uconn.edu
repository: https://cran.r-universe.dev
commit: bb471c599482bed4d036bc41d3d98dccc75b0b63
date-released: '2025-05-06'
contact:
- family-names: Lim
  given-names: Heeju
  email: heeju.lim@uconn.edu