Package: ppmHR
Type: Package
Title: Privacy-Protecting Hazard Ratio Estimation in Distributed Data
        Networks
Version: 1.0
Date: 2020-01-06
Author: Di Shu <shudi1991@gmail.com>, Sengwee Toh
        <darren_toh@harvardpilgrim.org>
Maintainer: Di Shu <shudi1991@gmail.com>
Description: An implementation of the one-step privacy-protecting
        method for estimating the overall and site-specific hazard
        ratios using inverse probability weighted Cox models in
        distributed data network studies, as proposed by Shu, Yoshida,
        Fireman, and Toh (2019) <doi: 10.1177/0962280219869742>. This
        method only requires sharing of summary-level riskset tables
        instead of individual-level data. Both the conventional inverse
        probability weights and the stabilized weights are implemented.
License: GPL (>= 2)
Imports: nleqslv, stats
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2026-10-09 08:12:08 UTC; root
Depends: R (>= 3.5.0)
Repository: https://shu-d.r-universe.dev
Date/Publication: 2020-01-07 16:20:02 UTC
RemoteUrl: https://github.com/cran/ppmHR
RemoteRef: HEAD
RemoteSha: c93e8b17fa17961ee9ca2f363ac656b19495e58c