NEWS
ctreeMI 0.1.0 (2026-07-10)
- 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).