compareMatching {MultiObjMatch}

Generate covariate balance in different matches

Description

This is a wrapper function for use in evaluating covariate balance across different matches. The function calls compareTables on the output from the function generateBalanceTable. It only works for 'Basic' version of matching (using distBalMatch).

Usage

compareMatching(
  matchingResult,
  covList = NULL,
  display.all = TRUE,
  stat = "mean.diff"
)

Arguments

matchingResult

an object returned by the main matching function distBalMatch

covList

(optional) factor of names of covariates that we want to evaluate covariate balance on; default is NULL. When set to NULL, the program will compare the covariates that have been used to construct a propensity model.

display.all

(optional) boolean value of whether to display all the matches; default is TRUE, where matches at each quantile is displayed

stat

(optional) character of the name of the statistic used for measuring covariate balance; default is "mean.diff". This argument is the same as used in "cobalt" package, see: bal.tab

Value

a dataframe that shows covariate balance in different matches

Examples

## Generate matches 
data("lalonde", package="cobalt")
psCols <- c("age", "educ", "married", "nodegree")
treatVal <- "treat"
responseVal <- "re78"
pairDistVal <- c("age", "married", "educ", "nodegree")
exactVal <- c("educ")
myBalVal <- c("race")
r1s <- c( 0.1, 0.3, 0.5, 0.7, 0.9,1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7)
r2s <- c(0.01)
matchResult <- distBalMatch(df=lalonde, treatCol=treatVal, myBalCol=myBalVal,
rhoExclude =r1s, rhoBalance=r2s,
distList=pairDistVal, exactlist=exactVal,
propensityCols = psCols,ignore = c(responseVal), maxUnMatched = 0.1,
caliperOption=NULL, toleranceOption=1e-1, maxIter=0, rho.max.f = 10)

## Generate table for comparing matches
compareMatching(matchResult, display.all = TRUE)