ctreeMI: Conditional Inference Trees with Stacked Multiple Imputation
Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, every node-level test statistic is divided by the number of imputations M, the node-level p-values are recomputed from the chi-squared reference distribution 'ctree' uses (including its multiplicity adjustment across candidate splitting variables), and the tree is compressed bottom-up (the Stack/M correction). Degrees of freedom are derived for each node and each candidate variable, so univariate, bivariate and higher-dimensional outcomes are all handled, as are unordered factor predictors, whose degrees of freedom depend on how many levels remain in a node. The result is a single interpretable tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations(), rescale_statistic(), prune_stackM(), node_table() and report_ctreeMI() as standalone utilities. For data nested in few clusters, a within-cluster design splits participants within every cluster, grows the tree on the outcome centered by cluster, and confirms the partition three ways (confirm_within()). The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
| Version: | 1.3.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | partykit (≥ 1.2-0), mice (≥ 3.0.0), stats, methods |
| Suggests: | sandwich, MASS, nnet, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-11-07 |
| DOI: | 10.32614/CRAN.package.ctreeMI |
| Author: | Phillip Sherlock 
[aut, cre] |
| Maintainer: | Phillip Sherlock <phillip.sherlock at ufl.edu> |
| BugReports: | https://github.com/Phillip-Sherlock/ctreeMI/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Phillip-Sherlock/ctreeMI |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ctreeMI results |
Documentation:
| Reference manual: | ctreeMI.html , ctreeMI.pdf |
| Vignettes: |
Discover, then confirm (source, R code) Few clusters: the within-cluster design (source, R code) |
Downloads:
| Package source: | ctreeMI_1.3.0.tar.gz |
| Windows binaries: | r-devel: ctreeMI_1.3.0.zip, r-release: ctreeMI_1.3.0.zip, r-oldrel: ctreeMI_1.3.0.zip |
| macOS binaries: | r-release (arm64): ctreeMI_1.3.0.tgz, r-oldrel (arm64): ctreeMI_1.3.0.tgz, r-release (x86_64): ctreeMI_1.3.0.tgz, r-oldrel (x86_64): ctreeMI_1.3.0.tgz |
| Old sources: | ctreeMI archive |
Linking:
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