heckmanGE: Estimation and Inference for Heckman Selection Models with Cluster-Robust Variance

Tools for the estimation of Heckman selection models with robust variance-covariance matrices. It includes functions for computing the bread and meat matrices, as well as clustered standard errors for generalized Heckman models, see Fernando de Souza Bastos and Wagner Barreto-Souza and Marc G. Genton (2022, ISSN: <https://www.jstor.org/stable/27164235>). The package also offers cluster-robust inference with sandwich estimators, and tools for handling issues related to eigenvalues in covariance matrices.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	glm2, maxLik, miscTools, vctrs
Published:	2024-10-07
DOI:	10.32614/CRAN.package.heckmanGE
Author:	Bastos Fernando de Souza [aut, cre], Barbosa Rogério Jerônimo [aut], Prates Marcos Oliveira [aut]
Maintainer:	Bastos Fernando de Souza <fernando.bastos at ufv.br>
BugReports:	https://github.com/fsbmat-ufv/heckmanGE/issues
License:	GPL-3
URL:	https://github.com/fsbmat-ufv/heckmanGE
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	heckmanGE results

Documentation:

Reference manual:

heckmanGE.pdf

Downloads:

Package source:	heckmanGE_1.0.0.tar.gz
Windows binaries:	r-devel: heckmanGE_1.0.0.zip, r-release: heckmanGE_1.0.0.zip, r-oldrel: heckmanGE_1.0.0.zip
macOS binaries:	r-release (arm64): heckmanGE_1.0.0.tgz, r-oldrel (arm64): heckmanGE_1.0.0.tgz, r-release (x86_64): heckmanGE_1.0.0.tgz, r-oldrel (x86_64): heckmanGE_1.0.0.tgz

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