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.
Computes attributable effects based confidence interval, permutation test confidence interval, or asymptotic confidence interval for the average treatment effect on a binary outcome. Methods outlined in further detail in Rigdon and Hudgens (2015) <doi:10.1002/sim.6384>.
| Version: | 1.4 |
| Imports: | compiler, gtools, Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2023-11-11 |
| DOI: | 10.32614/CRAN.package.RI2by2 |
| Author: | Joseph Rigdon |
| Maintainer: | Joseph Rigdon <jrigdon at wakehealth.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | RI2by2 results |
| Reference manual: | RI2by2.pdf |
| Package source: | RI2by2_1.4.tar.gz |
| Windows binaries: | r-devel: RI2by2_1.4.zip, r-release: RI2by2_1.4.zip, r-oldrel: RI2by2_1.4.zip |
| macOS binaries: | r-release (arm64): RI2by2_1.4.tgz, r-oldrel (arm64): RI2by2_1.4.tgz, r-release (x86_64): RI2by2_1.4.tgz, r-oldrel (x86_64): RI2by2_1.4.tgz |
| Old sources: | RI2by2 archive |
Please use the canonical form https://CRAN.R-project.org/package=RI2by2 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.