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ldpdist: Local Differential Privacy Tools for Distributional Inference

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>.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Suggests: openssl
Published: 2026-10-25
DOI: 10.32614/CRAN.package.ldpdist
Author: Yi Liu [aut, cre], Qirui Hu [aut]
Maintainer: Yi Liu <yliu42 at yorku.ca>
License: GPL-3
NeedsCompilation: yes
Citation: ldpdist citation info
Materials: NEWS
CRAN checks: ldpdist results

Documentation:

Reference manual: ldpdist.html , ldpdist.pdf

Downloads:

Package source: ldpdist_0.1.1.tar.gz
Windows binaries: r-devel: ldpdist_0.1.0.zip, r-release: ldpdist_0.1.1.zip, r-oldrel: ldpdist_0.1.1.zip
macOS binaries: r-release (arm64): ldpdist_0.1.1.tgz, r-oldrel (arm64): ldpdist_0.1.1.tgz, r-release (x86_64): ldpdist_0.1.1.tgz, r-oldrel (x86_64): ldpdist_0.1.1.tgz
Old sources: ldpdist archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.