Set thinning and thickening caps for full matching
Source:R/max.controls.cap.R, R/min.controls.cap.R
minmaxctlcap.RdFunctions 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.
Usage
maxControlsCap(distance, min.controls = NULL, solver = "")
minControlsCap(distance, max.controls = NULL, solver = "")Arguments
- distance
Either a matrix of non-negative, numeric discrepancies, or a list of such matrices. (See
fullmatchfor 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.)
Value
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
fullmatchargumentmin.controlsthat yield a full match;- given.max.controls
The
max.controlsargument given tominControlsCapor, if none was given, a vector ofInfs.- given.min.controls
The
min.controlsargument given tomaxControlsCapor, if none was given, a vector of0s;- strictest.feasible.max.controls
The smallest values of the
fullmatchargumentmax.controlsthat 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 15, 609–627.