Package: PrivateLR
Type: Package
Title: Differentially Private Regularized Logistic Regression
Version: 1.2-21
Date: 2014-10-30
Author: Staal A. Vinterbo <sav@ucsd.edu>
Maintainer: Staal A. Vinterbo <sav@ucsd.edu>
Description: PrivateLR 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), 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 element, any
  set S, and the randomness is taken over the choices F makes. 
License: GPL (>= 2)
Packaged: 2014-10-31 05:05:11 UTC; staal
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-31 16:16:00
Built: R 3.1.2; ; 2014-11-01 11:12:33 UTC; unix
