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EMSS  

Some EM-Type Estimation Methods for the Heckman Selection Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EMSS", "1.1.1")



Attach the package and use:
library("EMSS")
Maintained by
Sang Kyu Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-29
Latest Update: 2022-01-10
Description:
Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM
How to cite:
Sang Kyu Lee (2020). EMSS: Some EM-Type Estimation Methods for the Heckman Selection Model. R package version 1.1.1, https://cran.r-project.org/web/packages/EMSS. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-05-29 12:30), 1.0.1 (2020-05-31 23:10), 1.0.2 (2020-08-28 09:40), 1.1.0 (2021-05-10 18:12)
Other packages that cited EMSS R package
View EMSS citation profile
Other R packages that EMSS depends, imports, suggests or enhances
Complete documentation for EMSS
Functions, R codes and Examples using the EMSS R package
Some associated functions: EMSS . Smoke . coef.EMSS . confint.EMSS . summary.EMSS . vcov.EMSS . 
Some associated R codes: EMSS.R .  Full EMSS package functions and examples
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