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Applies a network construction method to samples generated from the splitsamp function
splitsampNet(object, method = c("MaST", "PMFG", "TMFG", "LoGo", "threshold"), bootmat = FALSE, seeds = NULL, pB = TRUE, ...)
Object output from splitsamp function
A network filtering method. Defaults to "TMFG"
Should bootgen function be used? Defaults to FALSE. Set to TRUE to constuction bootgen networks
Seeds to use for bootmat. Defaults to NULL. Input seeds from previous bootgen run
Should progress bar be displayed? Defaults to TRUE. Set to FALSE for no progress bar
Additional arguments to be passed to the network construction methods
Returns a list of networks for training (train) and testing (test) samples
# NOT RUN { samples <- splitsamp(neoOpen) nets <- splitsampNet(samples, method="TMFG") # }
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