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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | simdistr_1.0.1.tar.gz |
21.7 KiB |
1.0.1 |
rolling linux/noble R-4.5 | simdistr_1.0.1.tar.gz |
21.6 KiB |
1.0.1 |
rolling source/ R- | simdistr_1.0.1.tar.gz |
7.3 KiB |
1.0.1 |
latest linux/jammy R-4.5 | simdistr_1.0.1.tar.gz |
21.7 KiB |
1.0.1 |
latest linux/noble R-4.5 | simdistr_1.0.1.tar.gz |
21.6 KiB |
1.0.1 |
latest source/ R- | simdistr_1.0.1.tar.gz |
7.3 KiB |
1.0.1 |
2026-04-26 source/ R- | simdistr_1.0.1.tar.gz |
7.3 KiB |
1.0.1 |
2026-04-23 source/ R- | simdistr_1.0.1.tar.gz |
7.3 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | simdistr_1.0.1.zip |
25.1 KiB |
1.0.1 |
2025-04-20 source/ R- | simdistr_1.0.1.tar.gz |
7.3 KiB |