Package: PrivateLR
Type: Package
Title: Differentially Private Regularized Logistic Regression
Version: 1.2-22
Date: 2018-03-19
Author: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>
Maintainer: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>
Description: Implements two differentially private algorithms for 
  estimating L2-regularized logistic regression coefficients. A randomized
  algorithm F is epsilon-differentially private (C. Dwork, Differential
  Privacy, ICALP 2006 <DOI:10.1007/11681878_14>), if 
     |log(P(F(D) in S)) - log(P(F(D') in S))| <= epsilon
  for any pair D, D' of datasets that differ in exactly one record, any
  measurable set S, and the randomness is taken over the choices F makes. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-03-19 21:41:39 UTC; staal
Repository: CRAN
Date/Publication: 2018-03-20 13:48:35 UTC
Built: R 4.6.0; ; 2026-04-25 21:19:52 UTC; unix
