tboot: Tilted Bootstrap

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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