Set thinning and thickening caps for full matching
Set thinning and thickening caps for full matching
Functions to find the largest value of min.controls, or the smallest value of max.controls, for which a full matching problem is feasible. These are determined by constraints embedded in the matching problem's distance matrix.
distance: Either a matrix of non-negative, numeric discrepancies, or a list of such matrices. (See fullmatch for details.)
min.controls: Optionally, set limits on the minimum number of controls per matched set. (Only makes sense for maxControlsCap.)
solver: Choose which solver to use. See help(fullmatch)
for details.
max.controls: Optionally, set limits on the maximum number of controls per matched set. (Only makes sense for minControlsCap.)
Returns
For minControlsCap, strictest.feasible.min.controls and given.max.controls. For maxControlsCap, given.min.controls and strictest.feasible.max.controls.
strictest.feasible.min.controls: The largest values of the fullmatch argument min.controls that yield a full match;
given.max.controls: The max.controls argument given to minControlsCap or, if none was given, a vector of Infs.
given.min.controls: The min.controls argument given to maxControlsCap or, if none was given, a vector of 0s;
strictest.feasible.max.controls: The smallest values of the fullmatch argument max.controls that yield a full match.
Details
The function works by repeated application of full matching, so on large problems it can be time-consuming.
Note
Essentially this is just a line search. I've done several things to speed it up, but not everything that might be done. At present, not very thoroughly tested either: you might check the final results to make sure that fullmatch
works with the values of min.controls (or max.controls) suggested by these functions, and that it ceases to work if you increase (decrease) those values. Comments appreciated.
References
Hansen, B.B. and S. Olsen Klopfer (2006), Optimal full matching and related designs via network flows , Journal of Computational and Graphical Statistics