R: A Calibrated Sensitivity Analysis for Matched Observational Studies

# A Calibrated Sensitivity Analysis for Matched Observational Studies

## Documentation for package ‘sensitivityCalibration’ version 0.0.1

- DESCRIPTION file

## Help Pages

calibrate_anim | Make the dynamic calibration plot.
calibrate_one | Make the calibration plot.
CI_block_boot | Construct the 95% confidence interval of the treatment effect given the set of sensitivity parameters.
EM_Algorithm | Estimate the treatment effect for a matched dataset given the set of sensitivity parameters.
find_border | Find the lambda-delta boundary for a fixed sensitivity parameter p.
find_delta | Estimate the maximum delta for fixed sensitivity parameters p and lambda.
NHANES_blood_lead | Second hand smoking and blood lead levels dataset from NHANES III.
NHANES_blood_lead_small | A random subset of NHANES_blood_lead data.
NHANES_blood_lead_small_matched | NHANES_blood_lead_small data after matching.