wilksTrain: Train Complete Wilks Model
In MNLR/wilksWG: Wilks Weather Generator

Train Complete Wilks Model

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wilksTrain(data, dates = NULL, stations.id = NULL, accuracy = 1e+06,
  max.error = 0.01, max.iter = 20, debug = FALSE,
  parallelize = FALSE, n.cores = NULL, cluster.type = "PSOCK")

`data`	grid type object from loadeR. It should be a named list with at least $Data, a binary matrix with the data
`dates`	A vector of dates corresponding to the `data` in case it is a matrix. It should have length(dates) = nrow(data)
`stations.id`	A vector of station names corresponding to the `data` in case it is a matrix. It should have length(stations.id) = ncol(data)
`accuracy`	Number of instances of the series that will be generated during each simulation while finding normal correlation value
`max.error`	Iterative process will stop when it reaches this error in correlation between pairs or at `max.iter`
`max.iter`	Maximum number of iterations during the normal correlation value search.
`debug`	If set to `TRUE` information about the iterative process will be displayed. Does not work when `parallelize` is set to `TRUE`
`n.cores`	Number of processes that will be created for parallel computation. Set to n.cores()-1 by default.
`cluster.type`	Either "PSOCK" (default) or "FORK". Check parallel package for the details
`parallel`	If set to `TRUE`, parallel computation will be used.