Package: EMSS
Type: Package
Title: Some EM-Type Estimation Methods for the Heckman Selection Model
Version: 1.1.1
Author: Kexuan Yang <717260446@qq.com>, Sang Kyu Lee <leesa111@msu.edu>, Jun Zhao <zhaojun2021@hotmail.com>, and Hyoung-Moon Kim <hmk966a@gmail.com >
Maintainer: Sang Kyu Lee <leesa111@msu.edu>
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’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>.
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: sampleSelection, mvtnorm
BugReports: https://github.com/SangkyuStat/EMSS/issues
URL: https://github.com/SangkyuStat/EMSS
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-12-21 09:08:02 UTC; sangkyu
Repository: CRAN
Date/Publication: 2022-01-10 17:12:42 UTC
Built: R 4.6.0; ; 2026-04-25 14:12:28 UTC; unix
