The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) <doi:10.1093/biomet/asz065>.
| Version: | 1.0 |
| Depends: | R (≥ 3.0) |
| Imports: | splines, MASS, stats |
| Published: | 2022-09-27 |
| Author: | Xuan Wang [aut], Layla Parast [aut, cre], Ming Yang [aut], Lu Tian [aut], Tianxi Cai [aut] |
| Maintainer: | Layla Parast <parast at austin.utexas.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | OptimalSurrogate results |
| Reference manual: | OptimalSurrogate.pdf |
| Package source: | OptimalSurrogate_1.0.tar.gz |
| Windows binaries: | r-devel: OptimalSurrogate_1.0.zip, r-release: OptimalSurrogate_1.0.zip, r-oldrel: OptimalSurrogate_1.0.zip |
| macOS binaries: | r-release (arm64): OptimalSurrogate_1.0.tgz, r-oldrel (arm64): OptimalSurrogate_1.0.tgz, r-release (x86_64): OptimalSurrogate_1.0.tgz, r-oldrel (x86_64): OptimalSurrogate_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=OptimalSurrogate 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.
Health stats visible at Monitor.