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Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.

copied from cf-post-staging / r-sdcmicro
Type Size Name Uploaded Downloads Labels
conda 1.5 MB | win-64/r-sdcmicro-5.7.8-r44h8ae3a7c_0.conda  1 year and 5 months ago 555 main
conda 1.5 MB | win-64/r-sdcmicro-5.7.8-r43h8ae3a7c_0.conda  1 year and 5 months ago 497 main
conda 1.5 MB | osx-64/r-sdcmicro-5.7.8-r44hc83a2cd_0.conda  1 year and 5 months ago 463 main
conda 1.5 MB | osx-64/r-sdcmicro-5.7.8-r43hc83a2cd_0.conda  1 year and 5 months ago 439 main
conda 1.5 MB | linux-64/r-sdcmicro-5.7.8-r43h93ab643_0.conda  1 year and 5 months ago 1634 main
conda 1.5 MB | linux-64/r-sdcmicro-5.7.8-r44h93ab643_0.conda  1 year and 5 months ago 1614 main

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