Package: simdistr
Type: Package
Title: Assessment of Data Trial Distributions According to the
        Carlisle-Stouffer Method
Version: 1.0.1
Authors@R: c(person("Bernardo","Sousa-Pinto",role=c("aut","cre"),email="bernardo@med.up.pt"),
             person("Joao Julio","Cerqueira",role="ctb"),
             person("Cristina","Costa-Santos",role="ctb"),
             person ("John B","Carlisle",role="ctb"),
             person ("John A","Loadsman",role="ctb"),
             person("Armando","Teixeira-Pinto",role="aut"),
             person("Hernani","Goncalves",role="aut"))
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>
Description: 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>.
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-10-07 12:58:51 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2019-08-02 16:20:02 UTC
RemoteUrl: https://github.com/cran/simdistr
RemoteRef: HEAD
RemoteSha: 3d00296d213588010513eb99e19fe875b10b4018