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: 2019-08-02 17:03:10 UTC; Bernardo Sousa Pinto
Repository: CRAN
Date/Publication: 2019-08-02 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-27 03:19:01 UTC; unix
