Provides a general framework for clinical trial simulations based on the Clinical Scenario Evaluation (CSE) approach. The package supports a broad class of data models (including clinical trials with continuous, binary, survival-type and count-type endpoints as well as multivariate outcomes that are based on combinations of different endpoints), analysis strategies and commonly used evaluation criteria.
Version: | 1.0.8 |
Imports: | doParallel, doRNG, foreach, MASS, mvtnorm, stats, survival, utils |
Suggests: | flextable, knitr, officer, rmarkdown, pander |
Published: | 2019-05-08 |
Author: | Gautier Paux, Alex Dmitrienko. |
Maintainer: | Gautier Paux <gautier at paux.fr> |
BugReports: | https://github.com/gpaux/Mediana/issues |
License: | GPL-2 |
URL: | http://gpaux.github.io/Mediana/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | ClinicalTrials |
CRAN checks: | Mediana results |
Reference manual: | Mediana.pdf |
Vignettes: |
Adjusted p-values and one-sided simultaneous confidence limits Case studies Mediana: an R package for clinical trial simulations |
Package source: | Mediana_1.0.8.tar.gz |
Windows binaries: | r-devel: Mediana_1.0.8.zip, r-release: Mediana_1.0.8.zip, r-oldrel: Mediana_1.0.8.zip |
macOS binaries: | r-release: Mediana_1.0.8.tgz, r-oldrel: Mediana_1.0.8.tgz |
Old sources: | Mediana archive |
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