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.
Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical data borrowing) method under clinical trial setting by calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates user-specified decision rules by computing the type-I error/power, or probability of correct go/no-go decision at interim look. The evaluation can be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due to a compatibility issue with 'rjags' package. Currently, the package implements the BAC method for binary outcome only. Support for continuous and survival endpoints will be added in future releases. We would like to thank AbbVie's Statistical Innovation group and Clinical Statistics group for their support in developing the 'BACCT' package.
| Version: | 1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | rjags, ggplot2, reshape2 |
| Published: | 2016-06-25 |
| DOI: | 10.32614/CRAN.package.BACCT |
| Author: | Hongtao Zhang [aut, cre], Qi Tang [aut] |
| Maintainer: | Hongtao Zhang <hongtao.zhang at abbvie.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | Bayesian |
| CRAN checks: | BACCT results |
| Reference manual: | BACCT.pdf |
| Package source: | BACCT_1.0.tar.gz |
| Windows binaries: | r-devel: BACCT_1.0.zip, r-release: BACCT_1.0.zip, r-oldrel: BACCT_1.0.zip |
| macOS binaries: | r-release (arm64): BACCT_1.0.tgz, r-oldrel (arm64): BACCT_1.0.tgz, r-release (x86_64): BACCT_1.0.tgz, r-oldrel (x86_64): BACCT_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BACCT 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.