The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | nleqslv, stats |
| Published: | 2020-01-07 |
| Author: | Di Shu, Sengwee Toh |
| Maintainer: | Di Shu <shudi1991 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ppmHR results |
| Reference manual: | ppmHR.pdf |
| Package source: | ppmHR_1.0.tar.gz |
| Windows binaries: | r-devel: ppmHR_1.0.zip, r-release: ppmHR_1.0.zip, r-oldrel: ppmHR_1.0.zip |
| macOS binaries: | r-release (arm64): ppmHR_1.0.tgz, r-oldrel (arm64): ppmHR_1.0.tgz, r-release (x86_64): ppmHR_1.0.tgz, r-oldrel (x86_64): ppmHR_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ppmHR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.