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.
Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) <doi:10.1198/016214507000000897>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, randomForest, tidyverse, stats, SuperLearner, glmnet, rlang, Rdpack |
| Published: | 2023-02-22 |
| DOI: | 10.32614/CRAN.package.Ricrt |
| Author: | Yang Dong [aut, cph, cre], Bingkai Wang [aut, cph], Dylan Small [aut, cph] |
| Maintainer: | Yang Dong <flankado at sas.upenn.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | Ricrt results |
| Reference manual: | Ricrt.pdf |
| Package source: | Ricrt_0.1.0.tar.gz |
| Windows binaries: | r-devel: Ricrt_0.1.0.zip, r-release: Ricrt_0.1.0.zip, r-oldrel: Ricrt_0.1.0.zip |
| macOS binaries: | r-release (arm64): Ricrt_0.1.0.tgz, r-oldrel (arm64): Ricrt_0.1.0.tgz, r-release (x86_64): Ricrt_0.1.0.tgz, r-oldrel (x86_64): Ricrt_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Ricrt 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.