Combining Matching and Linear Regression for Causal Inference


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Documentation for package ‘MatchLinReg’ version 0.8.1

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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