makeFrontier: Compute the balance - sample size frontier.

In MatchingFrontier: Computation of the Balance - Sample Size Frontier in Matching Methods for Causal Inference

Description

makeFrontier() computes the balance - frontier sample size and can be used with estimateEffects to estimate effects along the balance - sample size frontier.

Usage

makeFrontier(dataset, treatment, outcome, match.on, 
             keep.vars = NULL, QOI = 'FSATT', metric = 'Mahal',
             ratio = 'fixed', breaks = NULL)

Arguments

dataset	The data set contain containing the treatment, outcome, and variable to match on.
treatment	The name of the treatment.
outcome	The name of the outcome.
match.on	A vector of colnames indicating which variables are to be matched on.
keep.vars	A character vector of variable names that are not in treatment, outcome, or 'match.on' but that the user would like to store in the data, either for calculation of model depedence intervals or for use in exported data sets.
QOI	The quantity of interest to be estimated. By default, feasible sample average treatment effect on the treated or FSATT. The other option is SATT (sample average treatment effect on the treated).
metric	The metric used to measure imbalance. Defaults to average mahalanobis distance to nearest match. The other option is L1.
ratio	Variable or fixed ratio. See King, Lucas, and Nielsen for details.
breaks	Can be used with L1 to provide user-specified breaks.

References

King, Gary, Christopher Lucas, and Richard Nielsen. "The Balance-Sample Size Frontier in Matching Methods for Causal Inference." (2015).

Examples

data(lalonde)

match.on <- colnames(lalonde)[!(colnames(lalonde) %in% c('re78', 'treat'))]
my.frontier <- makeFrontier(dataset = lalonde,
                            treatment = 'treat',
                            outcome = 're78',
                            match.on = match.on)

Example output

Loading MatchingFrontier Version 1.0.0

## Citation ##
King, Gary, Christopher Lucas, and Richard Nielsen. "MatchingFrontier:
Automated Matching for Causal Inference." R package version 1.0.0.

## BibTeX ##
@manual{MatchingFrontier,
	title={MatchingFrontier: Automated Matching for Causal Inference},
	author={King, Gary and Lucas, Christopher and Nielsen, Richard},
	year={2014},
	note={R package version 1.0.0}
}

Calculating Mahalanobis distances...
Calculating theoretical frontier...
Calculating information for plotting the frontier...

MatchingFrontier documentation built on May 2, 2019, 4:16 a.m.