MatchLinReg (version 0.8.1)

Combining Matching and Linear Regression for Causal Inference

Description

Core functions as well as diagnostic and calibration tools for combining matching and linear regression for causal inference in observational studies.

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Version

Install

install.packages('MatchLinReg')

Monthly Downloads

186

Version

0.8.1

License

GPL (>= 2)

Maintainer

Alireza Mahani

Last Published

August 30th, 2022

Functions in MatchLinReg (0.8.1)

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.orthogonalize

Orthogonalization of vectors with repsect to a matrix

mlr.power

Power analysis for causal inference using linear regression

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.match

Thin wrapper around Match function from Matching package

summary.mlr

Applying diagnostic and calibration functions to mlr objects

plot.summary.mlr

Plotting diagnostic and calibration objects resulting from call to summary.mlr

mlr.generate.Z.o

Generating omitted covariates from included covariates

mlr.variance

Treatment effect variance

mlr.smd

Standardized mean difference