ctreeMI 0.1.0

• Initial CRAN release.
• 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.
• Accepts mids objects from mice, lists of data frames, or plain data frames (falls back to standard ctree with a warning).