montecarlo: Maximizes a 'Sdt' value by 'monte carlo' method
In fftrees: Fast- and Frugal Tree Analysis

Description Usage Arguments Details Value See Also Examples

Takes all cues in fftree and builds blocksize random generated fftrees. If no better fftree is found, or the the value didn't improve greater than threshold, the algorithm finishes. Use Fftm instead of calling this method directly.

1 2	fftm.montecarlo(tree, whatToMaximize, blocksize, threshold, cluster = NULL, cores = 1)

`tree`	`fftree`
`whatToMaximize`	stringvector; Which parameters of the tree should be chased? The index of the vector represents the sequence. See Sdt for possible values.
`blocksize`	integer; How many random trees should be generated, before `threshold` is checked?
`threshold`	double; How much of an improvement in `whatToMaximize` should be found to generate another block?
`cluster`	If you have a HPC cluster, specifiy configuration here. See `makeCluster` from `snow` package.
`cores`	Integer; If multithreading is wanted (recommended for bigger computations!), you can specify your cores here.

You can chase all values provided by Sdt

Fftree

Fftm, bruteforcemaximize, chase, maximize

1 2	rawdata <- fftm.Titanic.data() tree <- Fftm(Survived ~ Age + Sex + Class, "montecarlo",rawdata, whatToMaximize = "percCorr", blocksize = 1000, threshold=.001, cores=4)