Man pages for matchMulti
Optimal Multilevel Matching using a Network Algorithm
| agg | Extract School-Level Covariates |
| assembleMatch | Collect Matched Samples |
| balanceMulti | Performs balance checking after multilevel matching. |
| balanceTable | Create Balance Table |
| buildCaliper | Construct propensity score caliper |
| catholic_schools | 1980 and 1982 High School and Beyond Data |
| ci_func | Outcome analysis. |
| describe_data_counts | Print out summary of student and school counts |
| handleNA | Handle Missing Values |
| is.binary | Check if a variable is binary |
| match2distance | Compute School Distance from a Student Match |
| matchMulti | A function that performs multilevel matching. |
| matchMultioutcome | Performs an outcome analysis after multilevel matching. |
| matchMulti-package | matchMulti Package |
| matchMultiResult | matchMultiResult object for results of power calculations |
| matchMultisens | Rosenbaum Bounds after Multilevel Matching |
| matchSchools | Match Schools on Student-based Distance |
| matchStudents | Compute Student Matches for all Pairs of Schools |
| minischool | Mini-data set for illustration |
| pairmatchelastic | Optimal Subset Matching without Balance Constraints |
| pe_func | Outcome analysis. |
| pval_func | Outcome analysis. |
| rematchSchools | Repeat School Match Only |
| resolve.cols | Ensure Dataframes Share Same Set Columns |
| sdiff | Balance Measures |
| smahal | Robust Mahalanobis Distance |
| students2schools | Aggregate Student Data into School Data |
| tally_schools | Tally schools and students in a given dataset |
