R: Improved Methods for Causal Inference and Missing Data Problems

# Improved Methods for Causal Inference and Missing Data Problems

## Documentation for package ‘iWeigReg’ version 1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

iWeigReg-package | A R package for improved methods for causal inference and missing data problems
ate.clik | Calibrated likelihood estimator for the causal-inference setup
ate.creg | Calibrated regression estimator for the causal-inference setup
ate.HT | Horvitz-Thompson estimator for the causal-inference setup
ate.lik | Non-calibrated likelihood estimator for the causal-inference setup
ate.reg | Non-calibrated regression estimator for the causal-inference setup
histw | Weighted histogram
iWeigReg | A R package for improved methods for causal inference and missing data problems
KS.data | A simulated dataset
loglik | The non-calibrated objective function ("log-likelihood")
loglik.g | The calibrated objective function ("log-likelihood")
mn.clik | Calibrated likelihood estimator for the missing-data setup
mn.creg | Calibrated regression estimator for the missing-data setup
mn.HT | Horvitz-Thompson estimator for the missing-data setup
mn.lik | Non-calibrated likelihood estimator for the missing-data setup
mn.reg | Non-calibrated regression estimator for the missing-data setup
myinv | Inverse of a matrix