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.

endogeneity: Recursive Two-Stage Models to Address Endogeneity

Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.

Version: 2.1.3
Imports: Rcpp, pbivnorm, maxLik, statmod, MASS, data.table
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2023-08-21
DOI: 10.32614/CRAN.package.endogeneity
Author: Jing Peng
Maintainer: Jing Peng <jing.peng at uconn.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: endogeneity results

Documentation:

Reference manual: endogeneity.pdf
Vignettes: Recursive Two-Stage Models to Address Endogeneity

Downloads:

Package source: endogeneity_2.1.3.tar.gz
Windows binaries: r-devel: endogeneity_2.1.3.zip, r-release: endogeneity_2.1.3.zip, r-oldrel: endogeneity_2.1.3.zip
macOS binaries: r-release (arm64): endogeneity_2.1.3.tgz, r-oldrel (arm64): endogeneity_2.1.3.tgz, r-release (x86_64): endogeneity_2.1.3.tgz, r-oldrel (x86_64): endogeneity_2.1.3.tgz
Old sources: endogeneity archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=endogeneity 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.