R: Persistent Data Anonymization Pipeline

# Persistent Data Anonymization Pipeline

## Documentation for package ‘deident’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

adaptive_noise | Function factory to apply white noise to a vector proportional to the spread of the data
add_blur | De-identification via categorical aggregation
add_encrypt | De-identification via hash encryption
add_group | Add aggregation to pipelines
add_numeric_blur | De-identification via numeric aggregation
add_perturb | De-identification via random noise
add_pseudonymize | De-identification via replacement
add_shuffle | De-identification via random sampling
add_ungroup | Add aggregation to pipelines
apply_deident | Apply a 'deident' pipeline
apply_to_data_frame | Apply a 'deident' pipeline to a new data frame
BaseDeident | Base class for all De-identifier classes
Blurer | Deidentifier class for applying 'blur' transform
category_blur | Utility for producing 'blur'
create_deident | Create a deident pipeline
deident | Define a transformation pipeline
deident_job_from_folder | Apply a pipeline to files on disk.
Drop | R6 class for the removal of variables from a pipeline
Encrypter | Deidentifier class for applying 'encryption' transform
from_yaml | Restore a serialized deident from file
GroupedShuffler | GroupedShuffler class for applying 'shuffling' transform with data aggregated
lognorm_noise | Function factory to apply log-normal noise to a vector
NumericBlurer | Group numeric data into baskets
Perturber | R6 class for deidentification via random noise
Pseudonymizer | R6 class for deidentification via replacement
ShiftsWorked | Synthetic data set listing daily shift pattern for fictitious employees
Shuffler | Shuffler class for applying 'shuffling' transform
starwars | Starwars characters
white_noise | Function factory to apply white noise to a vector