Man pages for matchMulti
Optimal Multilevel Matching using a Network Algorithm

aggExtract School-Level Covariates
assembleMatchCollect Matched Samples
balanceMultiPerforms balance checking after multilevel matching.
balanceTableCreate Balance Table
buildCaliperConstruct propensity score caliper
catholic_schools1980 and 1982 High School and Beyond Data
ci_funcOutcome analysis.
handleNAHandle Missing Values
is.binaryCheck if a variable is binary
match2distanceCompute School Distance from a Student Match
matchMultiA function that performs multilevel matching.
matchMultioutcomePerforms an outcome analysis after multilevel matching.
matchMulti-packageOptimal Multilevel Matching using a Network Algorithm
matchMultisensRosenbaum Bounds after Multilevel Matching
matchSchoolsMatch Schools on Student-based Distance
matchStudentsCompute Student Matches for all Pairs of Schools
pairmatchelasticOptimal Subset Matching without Balance Constraints
pe_funcOutcome analysis.
pval_funcOutcome analysis.
rematchSchoolsRepeat School Match Only
resolve.colsEnsure Dataframes Share Same Set Columns
sdiffBalance Measures
smahalRobust Mahalanobis Distance
students2schoolsAggregate Student Data into School Data
matchMulti documentation built on Nov. 17, 2017, 4:03 a.m.