CRAN
MaskJointDensity 1.0
Masking, Unmasking and Restoring Confidential Data
Released May 22, 2018 by Luke Mazur
This package cannot yet be used with Renjin it depends on other packages which are not available: ks 1.11.3
Dependencies
ks 1.11.3 MASS 7.3-50 plyr 1.8.4 np 0.60-8
Three key functionalities are present. It is able to mask confidential data using multiplicative noise. It is able to unmask this data while still preserving confidentiality. It is able to calculate the numerical joint density function of the original data from the unmasked data, as well as obtaining a sample from the marginal density functions of the unmasked data. The final results are a reasonable approximation to the original data for the purposes of analysis (Lin et al. (2018)