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HeckmanEM

Fit Normal, Student-t or Contaminated Normal Heckman Selection Models

It performs maximum likelihood estimation for the Heckman selection model (Normal, Student-t or Contaminated normal) using an EM-algorithm <doi:10.1016/j.jmva.2021.104737>. It also performs influence diagnostic through global and local influence for four possible perturbation schema.

Versions across snapshots

VersionRepositoryFileSize
0.2-2 rolling source/ R- HeckmanEM_0.2-2.tar.gz 21.4 KiB
0.2-2 rolling linux/jammy R-4.5 HeckmanEM_0.2-2.tar.gz 136.5 KiB
0.2-2 rolling linux/noble R-4.5 HeckmanEM_0.2-2.tar.gz 136.5 KiB
0.2-2 latest source/ R- HeckmanEM_0.2-2.tar.gz 21.4 KiB
0.2-2 latest linux/jammy R-4.5 HeckmanEM_0.2-2.tar.gz 136.5 KiB
0.2-2 latest linux/noble R-4.5 HeckmanEM_0.2-2.tar.gz 136.5 KiB
0.2-2 2026-04-23 source/ R- HeckmanEM_0.2-2.tar.gz 21.4 KiB
0.2-2 2026-04-09 windows/windows R-4.5 HeckmanEM_0.2-2.zip 139.2 KiB
0.2-1 2025-04-20 source/ R- HeckmanEM_0.2-1.tar.gz 20.2 KiB

Dependencies (latest)

Imports