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endoSwitch: Endogenous Switching Regression Models

Maximum likelihood estimation of endogenous switching regression models from Heckman (1979) <doi:10.2307/1912352> and estimation of treatment effects.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Imports: data.table (≥ 1.12.2), maxLik (≥ 1.3-6), stats (≥ 3.6.1), msm (≥ 1.6.7)
Published: 2020-02-21
DOI: 10.32614/CRAN.package.endoSwitch
Author: Bowen Chen ORCID iD [aut, cre], Seong Yun [aut], Benjamin Gramig [aut]
Maintainer: Bowen Chen <bwchen0719 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/cbw1243/endoSwitch
NeedsCompilation: no
Materials: README
In views: CausalInference
CRAN checks: endoSwitch results

Documentation:

Reference manual: endoSwitch.pdf

Downloads:

Package source: endoSwitch_1.0.0.tar.gz
Windows binaries: r-devel: endoSwitch_1.0.0.zip, r-release: endoSwitch_1.0.0.zip, r-oldrel: endoSwitch_1.0.0.zip
macOS binaries: r-release (arm64): endoSwitch_1.0.0.tgz, r-oldrel (arm64): endoSwitch_1.0.0.tgz, r-release (x86_64): endoSwitch_1.0.0.tgz, r-oldrel (x86_64): endoSwitch_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.