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.
- Version1.1.1
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?No
- Last release01/10/2022
Documentation
Team
Sang Kyu Lee
Jun Zhao
Hyoung-Moon Kim
Kexuan Yang
Insights
Last 30 days
This package has been downloaded 177 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 2,477 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 32 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package