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Inference for the treatment effect with possibly invalid instrumental variables via TSHT('Guo et al.' (2016) <doi:10.48550/arXiv.1603.05224>) and SearchingSampling('Guo' (2021) <doi:10.48550/arXiv.2104.06911>), which are effective for both low- and high-dimensional covariates and instrumental variables; test of endogeneity in high dimensions ('Guo et al.' (2016) <doi:10.48550/arXiv.1609.06713>).
Version: | 0.2.5 |
Depends: | R (≥ 2.10) |
Imports: | glmnet, MASS, Matrix, igraph, intervals, CVXR |
Published: | 2022-12-20 |
DOI: | 10.32614/CRAN.package.RobustIV |
Author: | Taehyeon Koo [aut], Zhenyu Wang [aut], Hyunseung Kang [ctb], Dylan Small [ctb], Zijian Guo [aut, cre, cph] |
Maintainer: | Zijian Guo <zijguo at stat.rutgers.edu> |
License: | GPL-3 |
URL: | https://github.com/zijguo/RobustIV |
NeedsCompilation: | no |
CRAN checks: | RobustIV results |
Reference manual: | RobustIV.pdf |
Package source: | RobustIV_0.2.5.tar.gz |
Windows binaries: | r-devel: RobustIV_0.2.5.zip, r-release: RobustIV_0.2.5.zip, r-oldrel: RobustIV_0.2.5.zip |
macOS binaries: | r-release (arm64): RobustIV_0.2.5.tgz, r-oldrel (arm64): RobustIV_0.2.5.tgz, r-release (x86_64): RobustIV_0.2.5.tgz, r-oldrel (x86_64): RobustIV_0.2.5.tgz |
Old sources: | RobustIV archive |
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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.