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)
- Version1.0.1
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?No
- Last release08/02/2019
Documentation
Team
Bernardo Sousa-Pinto
Joao Julio Cerqueira
Show author detailsRolesContributorCristina Costa-Santos
Show author detailsRolesContributorJohn B Carlisle
Show author detailsRolesContributorJohn A Loadsman
Show author detailsRolesContributorArmando Teixeira-Pinto
Show author detailsRolesAuthorHernani Goncalves
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package