Package: ldpdist 0.1.0

Yi Liu

ldpdist: Local Differential Privacy Tools for Distributional Inference

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:Yi Liu [aut, cre], Qirui Hu [aut]

ldpdist_0.1.0.tar.gz
ldpdist_0.1.0.zip(r-4.7-x86_64)ldpdist_0.1.0.zip(r-4.7-arm64)ldpdist_0.1.0.zip(r-4.6-x86_64)ldpdist_0.1.0.zip(r-4.6-arm64)
ldpdist_0.1.0.tar.gz(r-4.7-arm64)ldpdist_0.1.0.tar.gz(r-4.7-x86_64)ldpdist_0.1.0.tar.gz(r-4.6-arm64)ldpdist_0.1.0.tar.gz(r-4.6-x86_64)
ldpdist_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ldpdist/json (API)

# Install 'ldpdist' in R:
install.packages('ldpdist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 23 exports 0 dependencies

Last updated from:d78a698a39. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK76
linux-devel-x86_64OK103
source / vignettesOK195
linux-release-arm64OK80
linux-release-x86_64OK93
windows-devel-arm64OK210
windows-devel-x86_64OK109
windows-release-arm64OK185
windows-release-x86_64OK94
wasm-releaseOK86

Exports:ldp_aggregate_surveysldp_category_range_probabilityldp_cdf_varianceldp_confidence_regionldp_dc_criticalldp_decode_categoryldp_designldp_estimate_category_cdfldp_estimate_cdfldp_estimate_quantileldp_estimate_quantile_csldp_estimate_quantilesldp_gaussian_cs_boundaryldp_mechanismldp_median_efficiencyldp_msn_criticalldp_pavaldp_privacy_checkldp_randomizeldp_randomize_categoryldp_rng_uniformldp_sn_criticalldp_supported_methods

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Local Differential Privacy Tools for Distributional Inferenceldpdist-package ldpdist
Aggregate CDF estimates from heterogeneous surveysldp_aggregate_surveys
Estimate category probabilities over a value rangeldp_category_range_probability
Finite-grid variance for LDP CDF estimatesldp_cdf_variance
Self-normalized confidence region for many quantilesldp_confidence_region
Finite-block critical values for D&C CDF inferenceldp_dc_critical
Create an LDP data-collection designldp_design
Estimate category-specific CDFs from censored ULDP reportsldp_estimate_category_cdf predict.ldp_category_cdf_fit
Estimate a CDF from local threshold reportsconfint.ldp_cdf_fit ldp_estimate_cdf predict.ldp_cdf_fit summary.ldp_cdf_fit vcov.ldp_cdf_fit
Estimate one quantile with online binary LDP queriescoef.ldp_quantile_fit confint.ldp_quantile_fit ldp_estimate_quantile summary.ldp_quantile_fit vcov.ldp_quantile_fit
Asymptotic confidence sequence for one LDP quantileconfint.ldp_quantile_cs ldp_estimate_quantile_cs summary.ldp_quantile_cs
Jointly estimate multiple quantiles under categorical LDPcoef.ldp_quantiles_fit confint.ldp_quantiles_fit ldp_estimate_quantiles summary.ldp_quantiles_fit
Gaussian confidence-sequence boundariesldp_gaussian_cs_boundary
Create a local privacy mechanism objectldp_mechanism
Median efficiency diagnostic under binary randomized responseldp_median_efficiency
Multivariate self-normalized Brownian critical valuesldp_msn_critical
Weighted pool-adjacent-violators algorithmldp_pava
Check analytic likelihood-ratio bounds for LDP mechanismsldp_privacy_check
Locally randomize private observationsldp_randomize
Categorical local randomizers and unbiased decodersldp_decode_category ldp_randomize_category
Generate uniform random numbers for LDP workflowsldp_rng_uniform
Simulate a scalar self-normalized Brownian critical valueldp_sn_critical
List registered mechanisms, tasks, and estimatorsldp_supported_methods
Plot ldpdist fitted objectsplot.ldp_category_cdf_fit plot.ldp_cdf_fit plot.ldp_quantile_cs