simdistr

Assessment of Data Trial Distributions According to the Carlisle-Stouffer Method

CRAN Package

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) .

  • Version1.0.1
  • R version≥ 2.10
  • LicenseGPL-2
  • Needs compilation?No
  • Last release08/02/2019

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  • Depends1 package