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.
Performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.
Version: | 1.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, interp, metR, reshape2, survival |
Published: | 2023-05-30 |
DOI: | 10.32614/CRAN.package.survSens |
Author: | Rong Huang, Ronghui (Lily) Xu |
Maintainer: | Rong Huang <roh019 at ucsd.edu> |
License: | GPL-2 |
URL: | https://github.com/Rong0707/survSens |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | survSens results |
Reference manual: | survSens.pdf |
Package source: | survSens_1.1.0.tar.gz |
Windows binaries: | r-devel: survSens_1.1.0.zip, r-release: survSens_1.1.0.zip, r-oldrel: survSens_1.1.0.zip |
macOS binaries: | r-release (arm64): survSens_1.1.0.tgz, r-oldrel (arm64): survSens_1.1.0.tgz, r-release (x86_64): survSens_1.1.0.tgz, r-oldrel (x86_64): survSens_1.1.0.tgz |
Old sources: | survSens archive |
Please use the canonical form https://CRAN.R-project.org/package=survSens 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.