The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
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 |
Reference manual: | endoSwitch.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=endoSwitch to link to this page.
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.
Health stats visible at Monitor.