Package: BACCT 1.0
Hongtao Zhang
BACCT: Bayesian Augmented Control for Clinical Trials
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.
Authors:
BACCT_1.0.tar.gz
BACCT_1.0.tar.gz(r-4.5-noble)BACCT_1.0.tar.gz(r-4.4-noble)
BACCT_1.0.tgz(r-4.4-emscripten)BACCT_1.0.tgz(r-4.3-emscripten)
BACCT.pdf |BACCT.html✨
BACCT/json (API)
| # Install 'BACCT' in R: |
| install.packages('BACCT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:c915156148. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
Exports:BAC_binomdecision_evalheatmap_decision
Dependencies:clicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rjagsrlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Augmented Control for Clinical Trials | BACCT-package BACCT |
| Bayesian Augmented Control for Binary Responses | BAC_binom |
| Evaluating a Decision Rule | decision_eval |
| Heatmap for Decision Rules | heatmap_decision |
| Generateing Plot(s) Used for Decision Rule Evaluation | plot.BACdecision |
| Summarizing BAC | summary.BAC |