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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 |
| Author: | Jing Peng |
| Maintainer: | Jing Peng <jing.peng at uconn.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | endogeneity results |
| Reference manual: | endogeneity.pdf |
| Vignettes: |
Recursive Two-Stage Models to Address Endogeneity |
| 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 |
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