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: 2026-09-27 08:11:17 UTC; root
Author: Heeju Lim [aut, cre], Victor E. Lachos [aut], Victor H. Lachos
        [aut]
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-06 08:50:05 UTC
RemoteUrl: https://github.com/cran/HeckmanStan
RemoteRef: HEAD
RemoteSha: bb471c599482bed4d036bc41d3d98dccc75b0b63