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: | 0.2.1 |
Depends: | R (≥ 3.4.0) |
Imports: | stats, quadprog, kernlab |
Suggests: | knitr, rmarkdown, testthat, MASS, ggplot2 |
Published: | 2020-12-02 |
DOI: | 10.32614/CRAN.package.tboot |
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_0.2.1.tar.gz |
Windows binaries: | r-devel: tboot_0.2.1.zip, r-release: tboot_0.2.1.zip, r-oldrel: tboot_0.2.1.zip |
macOS binaries: | r-release (arm64): tboot_0.2.1.tgz, r-oldrel (arm64): tboot_0.2.1.tgz, r-release (x86_64): tboot_0.2.1.tgz, r-oldrel (x86_64): tboot_0.2.1.tgz |
Old sources: | tboot archive |
Please use the canonical form https://CRAN.R-project.org/package=tboot to link to this page.