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ctree_stacked(): fit a conditional inference tree on
stacked multiply imputed data with the Stack/M significance-threshold
correction (Sherlock et al., 2026).stack_imputations(): stack a list of imputed data
frames vertically.rescale_alpha(): compute the Stack/M corrected
significance threshold.print.ctreeMI() and summary.ctreeMI() S3
methods.mids objects from mice, lists of
data frames, or plain data frames (falls back to standard
ctree with a warning).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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