Creates simulated clinical trial data with realistic correlation structures and assumed efficacy levels by using a tilted bootstrap resampling approach. Samples are drawn from observed data with some samples appearing more frequently than others. May also be used for simulating from a joint Bayesian distribution along with clinical trials based on the Bayesian distribution.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | stats, quadprog, kernlab |
| Suggests: | knitr, rmarkdown, testthat, MASS, ggplot2 |
| Published: | 2020-08-01 |
| Author: | Nathan Morris [aut, cre], William Michael Landau [ctb], Eli Lilly and Company [cph] |
| Maintainer: | Nathan Morris <morris_nathan at lilly.com> |
| BugReports: | https://github.com/njm18/tboot/issues |
| License: | GPL-3 |
| URL: | https://github.com/njm18/tboot |
| NeedsCompilation: | no |
| CRAN checks: | tboot results |
| Reference manual: | tboot.pdf |
| Vignettes: |
Tutorial on 'tboot' Tutorial for 'BMR' |
| Package source: | tboot_0.2.0.tar.gz |
| Windows binaries: | r-devel: tboot_0.2.0.zip, r-release: tboot_0.2.0.zip, r-oldrel: tboot_0.2.0.zip |
| macOS binaries: | r-release: tboot_0.2.0.tgz, r-oldrel: tboot_0.2.0.tgz |
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