Control for evtree
Description
Various parameters that control aspects of the evtree
fit.
Usage
1 2 3 4 5  evtree.control(minbucket = 7L, minsplit = 20L, maxdepth = 9L,
niterations = 10000L, ntrees = 100L, alpha = 1,
operatorprob = list(pmutatemajor = 0.2, pmutateminor = 0.2,
pcrossover = 0.2, psplit = 0.2, pprune = 0.2),
seed = NULL, ...)

Arguments
minbucket 
the minimum sum of weights in a terminal node. 
minsplit 
the minimum sum of weights in a node in order to be considered for splitting. 
maxdepth 
maximum depth of the tree. Note, that the memory requirements increase by the square of the m'aximum tree depth. 
niterations 
in case the run does not converge, it terminates
after a specified number of iterations defined by 
ntrees 
the number of trees in the population. 
alpha 
regulates the complexity part of the cost function. Increasing values of alpha encourage decreasing tree sizes. 
operatorprob 
list or vector of probabilities for the selection of variation operators. May also be specified partially in which case the default values are still used for the unspecified arguments. Always scaled to sum to 100 percent. 
seed 
an numeric seed to initialize the random number generator
(for reproducibility). By default the seed is randomly drawn using

... 
additional arguments. 
Value
A list with the (potentially processed) control parameters.