Version: 1.0.1
Date: 2020-11-24
Title: Tools to Evaluate Disclosure Risk
Authors@R: 
    c(person(given = "John",
             family = "Riddles",
             role = c("aut", "cre"),
             email = "JohnRiddles@westat.com"),
      person("Westat", role = "cph"))
Maintainer: John Riddles <JohnRiddles@westat.com>
Depends: R (>= 3.6.0), Rdpack
Imports: methods, plyr (>= 1.8.5), dplyr (>= 0.8.4), ggplot2 (>=
        3.2.1), MASS (>= 3.6.0)
Suggests: R.rsp
VignetteBuilder: R.rsp
RdMacros: Rdpack
Description: 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.
Note: This publication was prepared for NCES under Contract No.
        ED-IES-12-D-0009/0005 with Sanametrix and Westat. Mention of
        trade names, commercial products, or organizations does not
        imply endorsement by the U.S. Government.
Package: SDCNway
License: GPL-2
Encoding: UTF-8
LazyData: true
ByteCompile: true
NeedsCompilation: no
RoxygenNote: 7.1.1
Packaged: 2020-12-17 19:33:01 UTC; riddles_j
Author: John Riddles [aut, cre],
  Westat [cph]
Repository: CRAN
Date/Publication: 2020-12-17 22:50:13 UTC
Built: R 4.6.0; ; 2026-04-26 15:01:20 UTC; unix
