Package: deident 1.0.0
Robert Cook
deident: Persistent Data Anonymization Pipeline
A framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.
Authors:
deident_1.0.0.tar.gz
deident_1.0.0.tar.gz(r-4.5-noble)deident_1.0.0.tar.gz(r-4.4-noble)
deident_1.0.0.tgz(r-4.4-emscripten)deident_1.0.0.tgz(r-4.3-emscripten)
deident.pdf |deident.html✨
deident/json (API)
NEWS
# Install 'deident' in R: |
install.packages('deident', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ShiftsWorked - Synthetic data set listing daily shift pattern for fictitious employees
- starwars - Starwars characters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 15 days agofrom:2c0750f376. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux | OK | Nov 25 2024 |
Exports::=.dataadaptive_noiseadd_bluradd_encryptadd_groupadd_numeric_bluradd_perturbadd_pseudonymizeadd_shuffleadd_ungroupapply_deidentapply_to_data_frameas_labelas_nameBaseDeidentBlurercategory_blurcreate_deidentdeidentdeident_job_from_folderDropEncrypterenquoenquosfrom_yamlGroupedShufflerlognorm_noisenew_deidentNumericBlurerPerturberPseudonymizerShufflerwhite_noise
Dependencies:askpassbitbit64clicliprcolorspacecpp11crayondplyrevaluatefansifarverfsgenericsggplot2gluegridExtragtablehighrhmsisobandknitrlabelinglatticelemonlifecyclemagrittrMASSMatrixmgcvmunsellnlmeopensslopenxlsxpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppreadrrlangscalesstringistringrsystibbletidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyamlzip
Blur Example
Rendered fromblur_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Encrypt Example
Rendered fromencrypt_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Numeric Blur Example
Rendered fromnumeric_blur_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Perturb Example
Rendered fromperturb_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Rationale for De-identification
Rendered fromrationale.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Re-using Methods
Rendered fromreusing_methods.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Shuffle Example
Rendered fromshuffle_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
transformations
Rendered fromtransformations.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19
Worked Example
Rendered fromworked_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-11-19
Started: 2024-11-19