The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Assessment of the distributions of baseline continuous and categorical variables in randomised trials. This method is based on the Carlisle-Stouffer method with Monte Carlo simulations. It calculates p-values for each trial baseline variable, as well as combined p-values for each trial - these p-values measure how compatible are distributions of trials baseline variables with random sampling. This package also allows for graphically plotting the cumulative frequencies of computed p-values. Please note that code was partly adapted from Carlisle JB, Loadsman JA. (2017) <doi:10.1111/anae.13650>.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10) |
| Published: | 2019-08-02 |
| Author: | Bernardo Sousa-Pinto [aut, cre], Joao Julio Cerqueira [ctb], Cristina Costa-Santos [ctb], John B Carlisle [ctb], John A Loadsman [ctb], Armando Teixeira-Pinto [aut], Hernani Goncalves [aut] |
| Maintainer: | Bernardo Sousa-Pinto <bernardo at med.up.pt> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | simdistr results |
| Reference manual: | simdistr.pdf |
| Package source: | simdistr_1.0.1.tar.gz |
| Windows binaries: | r-devel: simdistr_1.0.1.zip, r-release: simdistr_1.0.1.zip, r-oldrel: simdistr_1.0.1.zip |
| macOS binaries: | r-release (arm64): simdistr_1.0.1.tgz, r-oldrel (arm64): simdistr_1.0.1.tgz, r-release (x86_64): simdistr_1.0.1.tgz, r-oldrel (x86_64): simdistr_1.0.1.tgz |
| Old sources: | simdistr archive |
Please use the canonical form https://CRAN.R-project.org/package=simdistr to link to this page.
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.
Health stats visible at Monitor.