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 <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
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:

Reference manual: CopSens.pdf

Downloads:

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

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