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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "HCPclust" in publications use:'
type: software
license: MIT
title: 'HCPclust: Hierarchical Conformal Prediction for Clustered Data with Missing
  Responses'
version: 0.1.2
doi: 10.32614/CRAN.package.HCPclust
abstract: 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.
authors:
- family-names: Yi
  given-names: Menghan
  email: menghany@umich.edu
- family-names: Wang
  given-names: Judy
repository: https://judywangstat.r-universe.dev
repository-code: https://github.com/judywangstat/HCP
commit: d14edc3a0393ec8708a150c38242085708454b37
url: https://github.com/judywangstat/HCP
date-released: '2026-05-02'
contact:
- family-names: Yi
  given-names: Menghan
  email: menghany@umich.edu