Package: ctreeMI
Title: Conditional Inference Trees with Stacked Multiple Imputation
Version: 0.3.0
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)
    <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, each
    node-level test statistic is divided by the number of imputations M
    and its p-value recomputed before nodes are pruned (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(),
    rescale_statistic() and prune_stackM() as standalone utilities. The
    underlying 'ctree' algorithm is provided by 'partykit'
    (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006
    <doi:10.1198/106186006X133933>).
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: partykit (>= 1.2-0), mice (>= 3.0.0), stats, 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: 2026-07-25 20:52:59 UTC; coe-phillip.sherlock
Author: Phillip Sherlock [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-0433-3681>)
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>
Repository: CRAN
Date/Publication: 2026-07-25 21:50:01 UTC
