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Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided. The implemented analysis methods are described in: Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>, Saville et al. (2022) <doi:10.1177/17407745221112013> and Schmidli et al. (2014) <doi:10.1111/biom.12242>.
Version: | 1.0 |
Imports: | rlang, stats, RBesT, rjags, ggplot2, lmerTest, parallel, doParallel, parallelly, foreach, iterators, spaMM, mgcv, splines, magick |
Suggests: | rmarkdown, knitr |
Published: | 2023-03-03 |
DOI: | 10.32614/CRAN.package.NCC |
Author: | Pavla Krotka |
Maintainer: | Pavla Krotka <pavla.krotka at meduniwien.ac.at> |
License: | MIT + file LICENSE |
URL: | https://pavlakrotka.github.io/NCC/, https://github.com/pavlakrotka/NCC |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | NCC results |
Reference manual: | NCC.pdf |
Vignettes: |
How to simulate binary data How to simulate continuous data How to run a simulation study NCC Introduction |
Package source: | NCC_1.0.tar.gz |
Windows binaries: | r-devel: NCC_1.0.zip, r-release: NCC_1.0.zip, r-oldrel: NCC_1.0.zip |
macOS binaries: | r-release (arm64): NCC_1.0.tgz, r-oldrel (arm64): NCC_1.0.tgz, r-release (x86_64): NCC_1.0.tgz, r-oldrel (x86_64): NCC_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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