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.
Potential randomization schemes are prospectively evaluated when units are assigned to treatment arms upon entry into the experiment. The schemes are evaluated for balance on covariates and on predictability (i.e., how well could a site worker guess the treatment of the next unit enrolled).
| Version: | 1.0 |
| Imports: | stats, graphics |
| Published: | 2016-08-04 |
| DOI: | 10.32614/CRAN.package.SeqAlloc |
| Author: | Xiaoshu Zhu and Sharon Lohr |
| Maintainer: | Xiaoshu Zhu <xiaoshuzhu at westat.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | SeqAlloc results |
| Reference manual: | SeqAlloc.pdf |
| Package source: | SeqAlloc_1.0.tar.gz |
| Windows binaries: | r-devel: SeqAlloc_1.0.zip, r-release: SeqAlloc_1.0.zip, r-oldrel: SeqAlloc_1.0.zip |
| macOS binaries: | r-release (arm64): SeqAlloc_1.0.tgz, r-oldrel (arm64): SeqAlloc_1.0.tgz, r-release (x86_64): SeqAlloc_1.0.tgz, r-oldrel (x86_64): SeqAlloc_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SeqAlloc 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.