Implements a wide variety of one- and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics. See Sweeting et al. (2013): <doi:10.18637/jss.v054.i13>.
| Version: | 0.5.4 |
| Imports: | graphics, stats, mvtnorm, rlang, ggplot2 (≥ 1.0.1), grid, knitr |
| Suggests: | BRugs, R2WinBUGS, rjags |
| Published: | 2019-08-23 |
| Author: | Michael Sweeting [aut], Graham Wheeler [aut, cre] |
| Maintainer: | Graham Wheeler <graham.wheeler at ucl.ac.uk> |
| BugReports: | https://github.com/mikesweeting/bcrm/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mikesweeting/bcrm |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | ClinicalTrials, ExperimentalDesign |
| CRAN checks: | bcrm results |
| Reference manual: | bcrm.pdf |
| Package source: | bcrm_0.5.4.tar.gz |
| Windows binaries: | r-devel: bcrm_0.5.4.zip, r-release: bcrm_0.5.4.zip, r-oldrel: bcrm_0.5.4.zip |
| macOS binaries: | r-release: bcrm_0.5.4.tgz, r-oldrel: bcrm_0.5.4.tgz |
| Old sources: | bcrm archive |
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