Description Usage Arguments Details References Examples
plotFrontier()
plots the balance - sample size frontier.
1 2 | plotFrontier(frontier.object, xlab = "Number of Observations Pruned",
ylab = frontier.object$metric, main = "Frontier Plot", ...)
|
frontier.object |
An object generated by |
xlab |
The label for the x-axis. Defaults to 'Number of Observations Pruned'. |
ylab |
The label for the y-axis. Defaults to the selected metric. |
main |
The main label. Defaults to 'Effects Plot'. |
... |
Additional arguments to be passed to |
plotEstimates()
wraps plot
and uses ... to
pass additional arguments to the base plot()
function,
like color, axis range, etc.
King, Gary, Christopher Lucas, and Richard Nielsen. "The Balance-Sample Size Frontier in Matching Methods for Causal Inference." (2015).
1 2 3 4 5 6 7 8 9 |
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...
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