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  "Title": "Heteroskedasticity-Consistent Inference for Linear Models",
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  "Authors@R": "c(\nperson(\"Pedro Rafael D.\", \"Marinho\", email = \"pedro.rafael.marinho@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1591-8300\")),\nperson(\"Francisco\", \"Cribari-Neto\", email = \"cribari@gmail.com\",\nrole = \"aut\", comment = c(ORCID = \"0000-0002-5909-6698\")),\nperson(\"Marina\", \"Oliveira Cunha\", email = \"marina.oliveirac@ufpe.br\",\nrole = \"aut\", comment = c(ORCID = \"0009-0007-4938-3881\"))\n)",
  "Description": "Performs heteroskedasticity-consistent inferences in\nlinear regressions under heteroskedasticity. The published HC0\nthrough HC5m estimators implemented in the package follow White\n(1980) <doi:10.2307/1912934>, Hinkley (1977)\n<doi:10.1080/00401706.1977.10489550>, MacKinnon and White\n(1985) <doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004)\n<doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto and da Silva\n(2011) <doi:10.1007/s10182-010-0141-2>, Cribari-Neto et al.\n(2007) <doi:10.1080/03610920601126589> with its erratum\n<doi:10.1080/03610920802109210>, and Li et al. (2016)\n<doi:10.1080/00949655.2016.1198906>. The package also includes\nHCbeta, a new estimator proposed by the package authors. It\nadditionally provides feasible generalized least squares\nestimation under multiplicative heteroskedasticity following\nHarvey (1976) <doi:10.2307/1913974> and Cribari-Neto and\nPereira (2019) <doi:10.1080/00949655.2019.1586902>, with\ntwo-step and maximum likelihood fitting and information\ncriteria for the likelihood fit. It provides normal Wald tests,\nconfidence intervals, diagnostics, and S3 output for applied\ninference.",
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