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: 2026-10-13 09:54:00 UTC; root
Repository: https://laats.r-universe.dev
Date/Publication: 2018-03-20 12:48:35 UTC
RemoteUrl: https://github.com/cran/PrivateLR
RemoteRef: HEAD
RemoteSha: 186f6945da348ef3cd4c5dca483aaa7212ec4336