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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | HeckmanStan_1.0.0.tar.gz |
127.4 KiB |
1.0.0 |
rolling linux/noble R-4.5 | HeckmanStan_1.0.0.tar.gz |
127.3 KiB |
1.0.0 |
rolling source/ R- | HeckmanStan_1.0.0.tar.gz |
107.6 KiB |
1.0.0 |
latest linux/jammy R-4.5 | HeckmanStan_1.0.0.tar.gz |
127.4 KiB |
1.0.0 |
latest linux/noble R-4.5 | HeckmanStan_1.0.0.tar.gz |
127.3 KiB |
1.0.0 |
latest source/ R- | HeckmanStan_1.0.0.tar.gz |
107.6 KiB |
1.0.0 |
2026-04-26 source/ R- | HeckmanStan_1.0.0.tar.gz |
107.6 KiB |
1.0.0 |
2026-04-23 source/ R- | HeckmanStan_1.0.0.tar.gz |
107.6 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | HeckmanStan_1.0.0.zip |
133.6 KiB |