Package: opendp 0.11.1

Stefano Iacus

opendp: R Bindings for the OpenDP Library

The OpenDP Library is a modular collection of statistical algorithms that adhere to the definition of differential privacy. It can be used to build applications of privacy-preserving computations, using a number of different models of privacy.

Authors:Stefano Iacus [cre], The OpenDP Project [aut], The authors of the dependency Rust crates [ctb]

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opendp.pdf |opendp.html
opendp/json (API)

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

Peer review:

Bug tracker:https://github.com/opendp/opendp/issues

On CRAN:

differential-privacydp-programming-frameworkopendpopendp-commonsprivacy

223 exports 305 stars 6.31 score 0 dependencies 17 scripts

Last updated 29 days agofrom:f3e32f3896 (on r-universe). Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-win-x86_64WARNINGAug 19 2024
R-4.5-linux-x86_64WARNINGAug 19 2024
R-4.4-win-x86_64WARNINGAug 19 2024
R-4.4-mac-x86_64WARNINGAug 19 2024
R-4.4-mac-aarch64WARNINGAug 19 2024
R-4.3-win-x86_64WARNINGAug 19 2024
R-4.3-mac-x86_64WARNINGAug 19 2024
R-4.3-mac-aarch64WARNINGAug 19 2024

Exports:absolute_distanceaccuracy_to_discrete_gaussian_scaleaccuracy_to_discrete_laplacian_scaleaccuracy_to_gaussian_scaleaccuracy_to_laplacian_scaleatom_domainbinary_searchbinary_search_chainbinary_search_paramboolchange_one_distancechoose_branching_factordisable_featuresdiscrete_distancediscrete_gaussian_scale_to_accuracydiscrete_laplacian_scale_to_accuracydomain_carrier_typedomain_debugdomain_typeenable_featuresf32f64fixed_smoothed_max_divergencefunction_evalgaussian_scale_to_accuracyhamming_distancehashitemsi128i16i32i64i8insert_delete_distancel1_distancel2_distancelaplacian_scale_to_accuracylinf_distancemake_alp_queryablemake_b_ary_treemake_basic_compositionmake_bounded_float_checked_summake_bounded_float_ordered_summake_bounded_int_monotonic_summake_bounded_int_ordered_summake_bounded_int_split_summake_castmake_cast_defaultmake_cast_inherentmake_cdfmake_chain_mtmake_chain_pmmake_chain_ttmake_clampmake_consistent_b_ary_treemake_countmake_count_bymake_count_by_categoriesmake_count_distinctmake_create_dataframemake_df_cast_defaultmake_df_is_equalmake_drop_nullmake_findmake_find_binmake_fix_deltamake_gaussianmake_geometricmake_identitymake_impute_constantmake_impute_uniform_floatmake_indexmake_is_equalmake_is_nullmake_laplacemake_laplace_thresholdmake_lipschitz_float_mulmake_meanmake_metric_boundedmake_metric_unboundedmake_ordered_randommake_population_amplificationmake_pureDP_to_fixed_approxDPmake_pureDP_to_zCDPmake_quantile_score_candidatesmake_quantiles_from_countsmake_randomized_responsemake_randomized_response_boolmake_report_noisy_max_gumbelmake_resizemake_select_columnmake_sequential_compositionmake_sized_bounded_float_checked_summake_sized_bounded_float_ordered_summake_sized_bounded_int_checked_summake_sized_bounded_int_monotonic_summake_sized_bounded_int_ordered_summake_sized_bounded_int_split_summake_split_dataframemake_split_linesmake_split_recordsmake_subset_bymake_summake_sum_of_squared_deviationsmake_unorderedmake_variancemake_zCDP_to_approxDPmap_domainmax_divergencemeasure_debugmeasure_distance_typemeasure_typemeasurement_checkmeasurement_functionmeasurement_input_carrier_typemeasurement_input_distance_typemeasurement_input_domainmeasurement_input_metricmeasurement_invokemeasurement_mapmeasurement_output_distance_typemeasurement_output_measuremembermetric_debugmetric_distance_typemetric_typenew_hashtaboption_domainpartition_distancequeryable_evalqueryable_query_typesmoothed_max_divergenceStringsymmetric_distancethen_alp_queryablethen_b_ary_treethen_basic_compositionthen_bounded_float_checked_sumthen_bounded_float_ordered_sumthen_bounded_int_monotonic_sumthen_bounded_int_ordered_sumthen_bounded_int_split_sumthen_castthen_cast_defaultthen_cast_inherentthen_cdfthen_chain_mtthen_chain_pmthen_chain_ttthen_clampthen_consistent_b_ary_treethen_countthen_count_bythen_count_by_categoriesthen_count_distinctthen_create_dataframethen_df_cast_defaultthen_df_is_equalthen_drop_nullthen_findthen_find_binthen_fix_deltathen_gaussianthen_geometricthen_identitythen_impute_constantthen_impute_uniform_floatthen_indexthen_is_equalthen_is_nullthen_laplacethen_laplace_thresholdthen_lipschitz_float_multhen_meanthen_metric_boundedthen_metric_unboundedthen_ordered_randomthen_population_amplificationthen_pureDP_to_fixed_approxDPthen_pureDP_to_zCDPthen_quantile_score_candidatesthen_quantiles_from_countsthen_randomized_responsethen_randomized_response_boolthen_report_noisy_max_gumbelthen_resizethen_select_columnthen_sequential_compositionthen_sized_bounded_float_checked_sumthen_sized_bounded_float_ordered_sumthen_sized_bounded_int_checked_sumthen_sized_bounded_int_monotonic_sumthen_sized_bounded_int_ordered_sumthen_sized_bounded_int_split_sumthen_split_dataframethen_split_linesthen_split_recordsthen_subset_bythen_sumthen_sum_of_squared_deviationsthen_unorderedthen_variancethen_zCDP_to_approxDPtransformation_checktransformation_functiontransformation_input_carrier_typetransformation_input_distance_typetransformation_input_domaintransformation_input_metrictransformation_invoketransformation_maptransformation_output_distance_typetransformation_output_domaintransformation_output_metricu128u16u32u64u8user_distanceuser_divergenceusizevector_domainzero_concentrated_divergence

Dependencies: