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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 ORCID iD [aut, cre], Barbosa Rogério Jerônimo ORCID iD [aut], Prates Marcos Oliveira ORCID iD [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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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