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.

REndo: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables

Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.

Version: 2.4.9
Depends: R (≥ 3.4)
Imports: methods (≥ 3.4), stats (≥ 3.4), utils (≥ 3.4), Formula (≥ 1.2), optimx (≥ 2013.8.7), mvtnorm (≥ 1.0-8), AER (≥ 1.2-5), Matrix (≥ 1.2-14), lme4 (≥ 1.1-18-1), data.table (≥ 1.11.8), corpcor (≥ 1.6.9), Rcpp (≥ 1.0.3), lmtest (≥ 0.9-35)
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, covr, R.rsp
Published: 2023-09-05
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui at gmail.com>
BugReports: https://github.com/mmeierer/REndo/issues
License: GPL-3
URL: https://github.com/mmeierer/REndo
NeedsCompilation: yes
Citation: REndo citation info
Materials: README NEWS
In views: Econometrics
CRAN checks: REndo results

Documentation:

Reference manual: REndo.pdf
Vignettes: REndo-introduction

Downloads:

Package source: REndo_2.4.9.tar.gz
Windows binaries: r-devel: REndo_2.4.9.zip, r-release: REndo_2.4.9.zip, r-oldrel: REndo_2.4.9.zip
macOS binaries: r-release (arm64): REndo_2.4.9.tgz, r-oldrel (arm64): REndo_2.4.9.tgz, r-release (x86_64): REndo_2.4.9.tgz, r-oldrel (x86_64): REndo_2.4.9.tgz
Old sources: REndo archive

Reverse dependencies:

Reverse suggests: marginaleffects

Linking:

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