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Implements the copula-based sensitivity analysis method, as discussed in Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding <doi:10.48550/arXiv.2102.09412>, with Gaussian copula adopted in particular.
Version: | 0.1.0 |
Depends: | R (≥ 3.6.0) |
Imports: | pcaMethods (≥ 1.78.0), CVXR (≥ 1.0), MASS (≥ 7.3-53), ggplot2 (≥ 3.3.3), stats (≥ 4.0.3), dplyr (≥ 1.0.3), tidyr (≥ 1.1.2), tidyverse (≥ 1.3.0) |
Published: | 2022-05-12 |
DOI: | 10.32614/CRAN.package.CopSens |
Author: | Jiajing Zheng [aut, cre], Alexander Franks [aut], Alex D'Amour [ctb] |
Maintainer: | Jiajing Zheng <carolinez6850 at gmail.com> |
License: | GPL-3 |
URL: | https://github.com/JiajingZ/CopSens |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | CopSens results |
Reference manual: | CopSens.pdf |
Package source: | CopSens_0.1.0.tar.gz |
Windows binaries: | r-devel: CopSens_0.1.0.zip, r-release: CopSens_0.1.0.zip, r-oldrel: CopSens_0.1.0.zip |
macOS binaries: | r-release (arm64): CopSens_0.1.0.tgz, r-oldrel (arm64): CopSens_0.1.0.tgz, r-release (x86_64): CopSens_0.1.0.tgz, r-oldrel (x86_64): CopSens_0.1.0.tgz |
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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.