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
