Package: ldpdist
Title: Local Differential Privacy Tools for Distributional Inference
Version: 0.1.1
Authors@R: c(
    person("Yi", "Liu", email = "yliu42@yorku.ca", role = c("aut", "cre")),
    person("Qirui", "Hu", email = "huqirui@mail.shufe.edu.cn", role = "aut")
  )
Author: Yi Liu [aut, cre],
  Qirui Hu [aut]
Maintainer: Yi Liu <yliu42@yorku.ca>
Description: Estimates cumulative distribution functions and quantiles under
    local differential privacy. Provides isotonic and divide-and-conquer
    distribution estimators, aggregation across independent surveys, online
    inference for single and multiple quantiles, and asymptotic quantile
    confidence sequences. Also estimates category-specific subdistribution
    functions under asymmetric local privacy. Binary and categorical
    randomization mechanisms support these procedures. Distribution
    estimators operate on privatized reports; quantile interfaces simulate
    sequential local randomization internally. Published methodological
    sources include Liu et al. (2023)
    <https://proceedings.mlr.press/v202/liu23q.html>, Liu, Hu and Kong (2024)
    <https://proceedings.mlr.press/v235/liu24z.html>, Cai et al. (2025)
    <doi:10.52202/085713-3818>, and Hu and Liu (2026)
    <https://proceedings.mlr.press/v306/hu26ae.html>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Suggests: openssl
NeedsCompilation: yes
Packaged: 2026-10-21 23:17:58 UTC; ldpdist
Repository: CRAN
Date/Publication: 2026-10-25 14:30:02 UTC
