# Copula-Based Sensitivity Analysis for Observational Causal Inference

## Documentation for package ‘CopSens’ version 0.1.0

- DESCRIPTION file.

## Help Pages

bcalibrate | Calibration for Binary Outcomes
cali_mean_ybinary_algm | Calibrate Estimate of Intervention Mean for Binary Outcome
cal_rv | Calculate Robustness Value When Executing Worstcase Calibration
GaussianT_BinaryY | Dataset with Gaussian Treatments and Binary Outcomes
GaussianT_GaussianY | Dataset with Gaussian Treatments and Outcomes
gcalibrate | Calibration for Gaussian Outcomes
get_opt_gamma | Obtain Optimized Sensitivity Parameters Using Multivariate Calibration Criterion
micedata | Body weight and gene expressions of 287 mice
mice_est_nulltr | Estimates of genes' effects on mice body weight using null treatments approach from Miao et al. (2020)
plot_estimates | Visualize Estimates of Treatment Effects