EMSS: Some EM-Type Estimation Methods for the Heckman Selection Model

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’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.

Getting started

Package details

AuthorKexuan Yang <717260446@qq.com>, Sang Kyu Lee <leesa111@msu.edu>, Jun Zhao <zhaojun2021@hotmail.com>, and Hyoung-Moon Kim <hmk966a@gmail.com >
MaintainerSang Kyu Lee <leesa111@msu.edu>
LicenseGPL-2
Version1.1.1
URL https://github.com/SangkyuStat/EMSS
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EMSS")

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EMSS documentation built on Jan. 11, 2022, 1:07 a.m.