NCC: Simulation and Analysis of Platform Trials with Non-Concurrent Controls

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
Author: Pavla Krotka ORCID iD [aut, cre], Marta Bofill Roig ORCID iD [aut, ths], Katharina Hees [aut], Peter Jacko [aut], Dominic Magirr [aut], Martin Posch ORCID iD [ctb]
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

Documentation:

Reference manual: NCC.pdf
Vignettes: How to simulate binary data
How to simulate continuous data
How to run a simulation study
NCC Introduction

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NCC to link to this page.