From af7089457be29d5b320e8062651ef4707bdb8514 Mon Sep 17 00:00:00 2001 From: Bernhard Meindl Date: Fri, 10 Mar 2023 10:47:02 +0100 Subject: [PATCH] updates description and title addressing comments while submitting the pkg to CRAN; this is 1.0.0 on the way to CRAN --- DESCRIPTION | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 9a7db29..362d7b6 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,14 +1,26 @@ Package: cellKey Type: Package -Date: 2023-03-03 -Title: Implementing ABS Cell-Key Method for Adding Noise to Frequency and Continuous Tables +Date: 2023-03-09 +Title: Consistent Perturbation of Statistical Frequency- And Magnitude Tables Version: 1.0.0 Authors@R: c( person( given="Bernhard", family="Meindl", email="bernhard.meindl@statistik.gv.at", role=c("aut", "cre"))) -Description: This packages provides functionality to add noise to or rather perturb statistical tables. +Description: Data from statistical agencies and other institutions often + need to be protected before they can be published. This package + can be used to perturb statistical tables in a consistent way. The + main idea is to add - at the micro data level - a record key for each + unit. Based on these keys, for any cell in a statistical table a + cell key is computed as a function on the record keys contributing to + a specific cell. Values that are added to the cell in order to perturb + it are derived from a lookup-table that maps values of cell keys to + specific perturbation values. The theoretical basis for the methods + implemented can be found in Thompson, Broadfoot and Elazar + (2013) + which was extended and enhanced by Giessing and Tent + (2019) . Depends: R(>= 4.1), sdcHierarchies (>= 0.19.3), data.table Imports: rlang,