Man pages for jgellar/GroupMatch
GroupMatch: Optimal Matching under Rolling Enrollment

bootstrap_ciCalculate block bootstrap confidence interval
caliperSize(Internal) Determines how many other units fall within a...
caliperUpperBound(Internal) Returns a reasonable upper bound on the arcs...
compare_optmatchCompares the equality of optmatch objects, ignoring...
control_testRun falsification test
dist_digest(Internal) Remove the call before digesting a distance so...
findSubproblemsList subproblems of a distance
fmla2treatedblocking(Internal) A helper function to turn formulas into treatment...
getMaxProblemSizeWhat is the maximum allowed problem size?
groupmatchOptimal full matching with control groups
helloHello, World!
makeOptmatch(Internal) Create 'optmatch' objects, the result of matching.
matrix_to_setConvert GroupMatch match matrix to optmatch setID format
matrix_to_weightsConvert GroupMatch match matrix to matching weights attached...
maxCaliperFind the maximum caliper width that will create a feasible...
mdist(Deprecated, in favor of 'match_on') Create matching...
minExactMatchFind the minimal exact match factors that will be feasible...
missing_x_msg(Internal) If the x argument does not exist for match_on,...
optmatchOptmatch Class
optmatch_restrictionsoptmatch_restrictions
optmatch_same_distanceChecks if the distance 'newdist' is identical to the distance...
setFeasibilityConstants(Internal) Sets up the default values for maximum feasible...
setMaxProblemSizeSet the maximum problem size
setTryRecovery(Internal) Sets up option to try recovery in 'groupmatch'.
update.optmatchPerforms an update on an 'optmatch' object.
validDistanceSpecification(Internal) Validate that objects are valid distance...
jgellar/GroupMatch documentation built on Nov. 8, 2022, 10:48 p.m.