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HeckmanStan  

Heckman Selection Models Based on Bayesian Analysis
View on CRAN: Click here


Download and install HeckmanStan package within the R console
Install from CRAN:
install.packages("HeckmanStan")

Install from Github:
library("remotes")
install_github("cran/HeckmanStan")

Install by package version:
library("remotes")
install_version("HeckmanStan", "1.0.0")



Attach the package and use:
library("HeckmanStan")
Maintained by
Heeju Lim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-06
Latest Update: 2025-05-06
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).
How to cite:
Heeju Lim (2025). HeckmanStan: Heckman Selection Models Based on Bayesian Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/HeckmanStan. Accessed 26 Jun. 2026.
Previous versions and publish date:
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Complete documentation for HeckmanStan
Functions, R codes and Examples using the HeckmanStan R package
Full HeckmanStan package functions and examples
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