SDCNway
Tools to Evaluate Disclosure Risk
Tools for calculating disclosure risk measures for microdata, including record-level and file-level measures. The record-level disclosure risk is estimated primarily using exhaustive tabulation. The file-level disclosure risk is estimated by fitting loglinear models on the observed sample counts in cells formed by key variables and their interactions. Funded by the National Center for Education Statistics. See Skinner and Shlomo (2008) doi:10.1198/016214507000001328 for a description of the file-level risk measures and the loglinear model approach.
- Version1.0.1
- R version≥ 3.6.0
- LicenseGPL-2
- Needs compilation?No
- Last release12/17/2020
Documentation
Team
John Riddles
Westat
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 126 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,632 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports4 packages
- Suggests1 package