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.
The implementation of bias-corrected sandwich variance estimators for the analysis of cluster randomized trials with time-to-event outcomes using the marginal Cox model, proposed by Wang et al. (under review).
Version: | 0.0.1.0 |
Imports: | pracma, survival |
Published: | 2022-03-09 |
DOI: | 10.32614/CRAN.package.CoxBcv |
Author: | Xueqi Wang [aut, cre], Elizabeth Turner [aut], Fan Li [aut] |
Maintainer: | Xueqi Wang <xueqi.wang at duke.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | CoxBcv results |
Reference manual: | CoxBcv.pdf |
Package source: | CoxBcv_0.0.1.0.tar.gz |
Windows binaries: | r-devel: CoxBcv_0.0.1.0.zip, r-release: CoxBcv_0.0.1.0.zip, r-oldrel: CoxBcv_0.0.1.0.zip |
macOS binaries: | r-release (arm64): CoxBcv_0.0.1.0.tgz, r-oldrel (arm64): CoxBcv_0.0.1.0.tgz, r-release (x86_64): CoxBcv_0.0.1.0.tgz, r-oldrel (x86_64): CoxBcv_0.0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=CoxBcv 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.