Package: ctreeMI Title: Conditional Inference Trees with Stacked Multiple Imputation Version: 0.1.0 Authors@R: person("Phillip", "Sherlock", email = "phillip.sherlock@ufl.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0433-3681")) Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) . 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, the pruning significance threshold is divided by the number of imputations M (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations() and rescale_alpha() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 ). License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: partykit (>= 1.2-0), mice (>= 3.0.0), methods Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 Depends: R (>= 4.0.0) URL: https://github.com/Phillip-Sherlock/ctreeMI BugReports: https://github.com/Phillip-Sherlock/ctreeMI/issues NeedsCompilation: no Packaged: 2026-07-10 21:49:00 UTC; root Author: Phillip Sherlock [aut, cre] (ORCID: ) Maintainer: Phillip Sherlock Repository: https://cran.r-universe.dev Date/Publication: 2026-07-10 19:00:02 UTC RemoteUrl: https://github.com/cran/ctreeMI RemoteRef: HEAD RemoteSha: 08c92d62de0821666f4e59573843b05266436384