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
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://sangkyustat.r-universe.dev
Date/Publication: 2021-12-21 09:07:48 UTC
RemoteUrl: https://github.com/sangkyustat/emss
RemoteRef: HEAD
RemoteSha: d7a3e1724cce79a4f856c33596c9102ee11d01d5
NeedsCompilation: no
Packaged: 2026-10-15 09:09:26 UTC; root