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: simdistr_1.0.1.tgz, r-oldrel: simdistr_1.0.1.tgz |
| Old sources: | simdistr archive |
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