ccacontrol {ConsRankClass} | R Documentation |
Utility function to use to set the control arguments of cca
ccacontrol( algorithm = "quick", full = FALSE, itercca = 1, consrankitermax = 10, np = 15, gl = 100, ff = 0.4, cr = 0.9, proc = FALSE, ps = FALSE )
algorithm |
The algorithm used to compute the median ranking. One among"BB", "quick" (default), "fast" and "decor" |
full |
Specifies if the median ranking must be searched in the universe of rankings including all the possible ties. Default: FALSE |
itercca |
Number of iterations of cca |
consrankitermax |
Number of iterations for "fast" and "decor" algorithms. itermax=10 is the default option. |
np |
(for "decor" only) the number of population individuals. np=15 is the default option. |
gl |
(for"decor" only) generations limit, maximum number of consecutive generations without improvement. gl=100 is the default option. |
ff |
(for"decor" only) the scaling rate for mutation. Must be in [0,1]. ff=0.4 is the default option. |
cr |
(for"decor" only) the crossover range. Must be in [0,1]. cr=0.9 is the default option. |
proc |
(for "BB" only) proc=TRUE allows the branch and bound algorithm to work in difficult cases, i.e. when the number of objects is larger than 15 or 25. proc=FALSE is the default option |
ps |
If PS=TRUE, on the screen some information about how many branches are processed are displayed. Default value: FALSE |
A list containing all the control parameters
Antonio D'Ambrosio antdambr@unina.it