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simdistr: Assessment of Data Trial Distributions According to the Carlisle-Stouffer Method
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>.
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Package details |
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| 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@med.up.pt> |
| License | GPL-2 |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
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