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HeckmanEM  

Fit Normal, Student-t or Contaminated Normal Heckman Selection Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HeckmanEM", "0.2-2")



Attach the package and use:
library("HeckmanEM")
Maintained by
Marcos Prates
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-20
Latest Update: 2025-06-02
Description:
It performs maximum likelihood estimation for the Heckman selection model (Normal, Student-t or Contaminated normal) using an EM-algorithm . It also performs influence diagnostic through global and local influence for four possible perturbation schema.
How to cite:
Marcos Prates (2020). HeckmanEM: Fit Normal, Student-t or Contaminated Normal Heckman Selection Models. R package version 0.2-2, https://cran.r-project.org/web/packages/HeckmanEM. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.1 (2020-11-20 10:50), 0.1.2 (2021-05-19 13:40), 0.1.3 (2022-09-12 11:22), 0.2-0 (2023-06-11 17:00), 0.2-1 (2024-04-07 21:03)
Other packages that cited HeckmanEM R package
View HeckmanEM citation profile
Other R packages that HeckmanEM depends, imports, suggests or enhances
Complete documentation for HeckmanEM
Functions, R codes and Examples using the HeckmanEM R package
Some associated functions: HeckmanEM.criteria . HeckmanEM.envelope . HeckmanEM.infomat . HeckmanEM . rHeckman . 
Some associated R codes: HeckmanEM.R . MI.R . S3functions.R . criteria.R . envelopes.R . rHeckman.R . utilitaries.R .  Full HeckmanEM package functions and examples
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