CopSens: Copula-Based Sensitivity Analysis for Observational Causal
Inference
Implements the copula-based sensitivity analysis method,
as discussed in Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
<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 |
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 |
Documentation:
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