Package: HCPclust
Title: Hierarchical Conformal Prediction for Clustered Data with
        Missing Responses
Version: 0.1.1
Authors@R: 
    c(
      person("Menghan", "Yi",email = "menghany@umich.edu", role = c("aut", "cre")),
      person("Judy", "Wang", role = "aut")
    )
Description: Implements hierarchical conformal prediction for clustered data with missing responses. The method uses repeated cluster-level
    splitting and within-cluster subsampling to accommodate dependence, and
    inverse-probability weighting to correct distribution shift induced by missingness.
    Conditional densities are estimated by inverting fitted conditional quantiles
    (linear quantile regression or quantile regression forests), and p-values are
    aggregated across resampling and splitting steps using the Cauchy combination test.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/judywangstat/HCP
BugReports: https://github.com/judywangstat/HCP/issues
Imports: stats, grf, quantreg, xgboost, quantregForest
Suggests: foreach, doParallel, doRNG, parallel, testthat (>= 3.0.0),
        knitr, rmarkdown, FNN, rstudioapi
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-01-26 23:42:16 UTC; yimenghan
Author: Menghan Yi [aut, cre],
  Judy Wang [aut]
Maintainer: Menghan Yi <menghany@umich.edu>
Repository: CRAN
Date/Publication: 2026-01-30 11:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 07:59:30 UTC; unix
