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HeckmanStan: Heckman Selection Models Based on Bayesian Analysis
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).
Getting started
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Package details |
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| Author | Heeju Lim [aut, cre], Victor E. Lachos [aut], Victor H. Lachos [aut] |
| Maintainer | Heeju Lim <heeju.lim@uconn.edu> |
| License | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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