ctree.boot: bootstrap several runs of the ctree algorithm
In ConvergenceDA/visdom: R package for energy data analytics

This function repeatedly runs the ctree algorithm on random sub-samples of the underlying data to provide a measure of robustness for the individual ctree results.

1 2	ctree.boot(df, nRun = 100, nSample = NULL, ctl = NULL, responseVar, ignoreCols)

`df`	data.frame with response variable to be explained and all explanatory variables for the ctree to run with
`nRun`	number of bootstrapping runs to perform
`nSample`	number of samples (with replacement) for each run
`ctl`	ctree control instance to be passed to ctree algorithm to control stopping criteria, etc.
`responseVar`	the name of the variable that the ctree is trying to explain
`ignoreCols`	an optional list of columns in df, but that should be excluded from the ctree modeling