
Package index
Differential privacy
Exact discrete Laplace noise for counts and histograms, the analytic Gaussian mechanism for means, and a privacy budget the releases are charged against.
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dplapcnt() - Differentially-private count via the discrete Laplace mechanism
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dplaphist() - Differentially-private histogram via the discrete Laplace mechanism
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dpgmean() - Differentially-private mean via the analytic Gaussian mechanism
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dpbudget() - A privacy budget that DP releases are charged against
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dpspent() - What a privacy budget has spent
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kanonvrf() - k-anonymity verification
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ldivvrf() - l-diversity verification
Cell suppression
Primary and complementary suppression of small cells, audited for exact recovery from the margins.
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cellsupp() - Cell suppression with complementary suppression and a recoverability audit
Bundled datasets and readers
Discover, load, verify and inspect the bundled open-data tables (Ontario correctional and use-of-force releases, SIU director’s reports, CIHI data tables, Chicago crime and others).
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mdcat() - Catalog of the bundled datasets
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mdload() - Load a bundled dataset by slug
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mdpath() - Path of a bundled table's shipped file
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mddict() - Data dictionary for a bundled dataset
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mdsums() - SHA256 checksums of bundled rmoriedata files
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mdverify() - Verify the bundled data store against its signed manifest
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chiload() - Load Chicago crime or arrest data
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chiclr() - Clear the cache of full Chicago datasets
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cihitbls() - Catalogue of CIHI open data-table workbooks (with Wayback fallbacks)
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cihiget() - Download a CIHI data table (live, with Wayback fallback)
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siuload() - Load the Ontario SIU director's-report corpus
Sample data objects
Small documented data frames bundled for examples and tests (lazy-loaded via data()).
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arrest_sample - Chicago arrests sample
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complaint_sample - Chicago reported-crime sample ("complaints")
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rmoriedata-victoria - Victorian crime statistics (Crime Statistics Agency Victoria)
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hostcat()hostload() - Curated datasets at data.rmorie.com
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mdsha()mdmean() - Shared C-core helpers
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mdask() - Ask a language model about the bundled datasets
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mdllmconf() - Show or save the language-model settings