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 (2022) <doi:10.1287/isre.2022.1113>.

Version: 2.1.2
Imports: Rcpp, pbivnorm, maxLik, statmod, MASS, data.table
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2022-12-03
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_2.1.2.tar.gz
Windows binaries: r-devel: endogeneity_2.0.1.zip, r-release: endogeneity_2.1.2.zip, r-oldrel: endogeneity_2.0.1.zip
macOS binaries: r-release (arm64): endogeneity_2.1.2.tgz, r-oldrel (arm64): endogeneity_2.1.2.tgz, r-release (x86_64): endogeneity_2.0.1.tgz, r-oldrel (x86_64): endogeneity_2.0.1.tgz
Old sources: endogeneity archive

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