CopSens: Copula-Based Sensitivity Analysis for Observational Causal Inference (original) (raw)
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 |
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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 |
License: | GPL-3 |
URL: | https://github.com/JiajingZ/CopSens |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | CopSens results |
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