Package: HeckmanStan
Type: Package
Title: Heckman Selection Models Based on Bayesian Analysis
Version: 1.0.0
Authors@R: c(
  person("Heeju", "Lim", email = "heeju.lim@uconn.edu", role = c("aut", "cre")),
  person("Victor E.", "Lachos", email = "elachoso27@gmail.com", role = c("aut")),
  person("Victor H.", "Lachos", email = "hlachos@uconn.edu", role = c("aut")))
Maintainer: Heeju Lim <heeju.lim@uconn.edu>
Description: 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).
Imports: rstan (>= 2.26.23), mvtnorm (>= 1.2-3), loo, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-05-02 19:55:20 UTC; heeju
Author: Heeju Lim [aut, cre],
  Victor E. Lachos [aut],
  Victor H. Lachos [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-05-06 08:50:05 UTC
Built: R 4.6.0; ; 2026-04-29 19:30:40 UTC; unix
