R: Combining Matching and Linear Regression for Causal Inference

# Combining Matching and Linear Regression for Causal Inference

## Documentation for package ‘MatchLinReg’ version 0.8.1

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

## Help Pages

lalonde | Lalonde's National Supported Work Demonstration data
lindner | Lindner Center data on 996 PCI patients analyzed by Kereiakes et al. (2000)
mlr | Creating a series of matched data sets with different calibration parameters
mlr.bias | Treatment effect bias
mlr.bias.constructor | Generating the treatment effect bias constructor vector
mlr.combine.bias.variance | Combining bias and variance to produce total MSE for treatment effect
mlr.generate.Z.o | Generating omitted covariates from included covariates
mlr.match | Thin wrapper around 'Match' function from 'Matching' package
mlr.orthogonalize | Orthogonalization of vectors with repsect to a matrix
mlr.power | Power analysis for causal inference using linear regression
mlr.smd | Standardized mean difference
mlr.variance | Treatment effect variance
plot.summary.mlr | Plotting diagnostic and calibration objects resulting from call to 'summary.mlr'
summary.mlr | Applying diagnostic and calibration functions to mlr objects