{
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  "Package": "heckmanGE",
  "Title": "Estimation and Inference for Heckman Selection Models with\nCluster-Robust Variance",
  "Version": "1.0.0",
  "Date": "2024-10-02",
  "Authors@R": "c(person(\"Bastos\", \"Fernando de Souza\", , \"fernando.bastos@ufv.br\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1503-4599\")),\nperson(\"Barbosa\", \"Rogério Jerônimo\", , \"rogerio.barbosa@iesp.uerj.br\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-6796-4547\")),\nperson(\"Prates\", \"Marcos Oliveira\", , \"marcosop@est.ufmg.br\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-8077-4898\"))\n)",
  "Description": "Tools for the estimation of Heckman selection models with\nrobust variance-covariance matrices. It includes functions for\ncomputing the bread and meat matrices, as well as clustered\nstandard errors for generalized Heckman models, see Fernando de\nSouza Bastos and Wagner Barreto-Souza and Marc G. Genton (2022,\nISSN: <https://www.jstor.org/stable/27164235>). The package\nalso offers cluster-robust inference with sandwich estimators,\nand tools for handling issues related to eigenvalues in\ncovariance matrices.",
  "License": "GPL-3",
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  "Date/Publication": "2024-11-17 18:55:55 UTC",
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  "Author": "Bastos Fernando de Souza [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1503-4599>),\nBarbosa Rogério Jerônimo [aut] (ORCID:\n<https://orcid.org/0000-0002-6796-4547>),\nPrates Marcos Oliveira [aut] (ORCID:\n<https://orcid.org/0000-0001-8077-4898>)",
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      "title": "Simulation dataset for the heckmanGE example",
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      "title": "Extract Coefficients from a Generalized Heckman Model",
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      "title": "meat.heckmanGE Compute Meat of the Covariance Matrix for the Generalized Heckman Model",
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