{ "_id": "6ad09a7c576abc75bd5cd793", "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\n, Jun Zhao , and\nHyoung-Moon Kim ", "Maintainer": "Sang Kyu Lee ", "Description": "Some EM-type algorithms to estimate parameters for the\nwell-known Heckman selection model are provided in the package.\nSuch algorithms are as follow: ECM(Expectation/Conditional\nMaximization), ECM(NR)(the Newton-Raphson method is adapted to\nthe ECM) and ECME(Expectation/Conditional Maximization Either).\nSince the algorithms are based on the EM algorithm, they also\nhave EM’s main advantages, namely, stability and ease of\nimplementation. Further details and explanations of the\nalgorithms can be found in Zhao et al. 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