| Name : R-MaskJointDensity
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.11
| Date : 2024-06-14 11:33:50
|
| Group : Development/Libraries/Other
| Source RPM : R-MaskJointDensity-1.0-lp153.6.11.src.rpm
|
| Size : 0.47 MB
| |
| Packager : (none)
| |
| Summary : Masking, Unmasking and Restoring Confidential Data
|
Description :
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)
< http://www.tdp.cat/issues16/abs.a271a17.php>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
