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# CITATION.cff 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 "ldpdist" in publications use:'
type: software
license: GPL-3.0-only
title: 'ldpdist: Local Differential Privacy Tools for Distributional Inference'
version: 0.1.0
abstract: Estimates cumulative distribution functions and quantiles under local differential
  privacy. Provides binary and categorical randomization mechanisms, isotonic distribution
  estimators, and simulation interfaces for sequential quantile estimation with self-normalized
  inference and asymptotic confidence sequences. Distribution estimators operate on
  privatized reports; quantile interfaces simulate local randomization internally.
  Methods include the quantile procedure of Liu et al. (2023) <https://proceedings.mlr.press/v202/liu23q.html>
  and the distribution estimator of Liu, Hu and Kong (2024) <https://proceedings.mlr.press/v235/liu24z.html>.
authors:
- family-names: Liu
  given-names: Yi
  email: yliu42@yorku.ca
- family-names: Hu
  given-names: Qirui
  email: huqirui@mail.shufe.edu.cn
preferred-citation:
  type: manual
  title: 'ldpdist: Local Differential Privacy Tools for Distributional Inference'
  authors:
  - family-names: Liu
    given-names: Yi
    email: yliu42@yorku.ca
  - family-names: Hu
    given-names: Qirui
    email: huqirui@mail.shufe.edu.cn
  year: '2026'
  notes: R package version 0.1.0
repository: https://cran.r-universe.dev
commit: d78a698a3910c9e8237adfdd9b585b7fb7355862
date-released: '2026-10-13'
contact:
- family-names: Liu
  given-names: Yi
  email: yliu42@yorku.ca