mpower
Power Analysis via Monte Carlo Simulation for Correlated Data
A flexible framework for power analysis using Monte Carlo simulation for settings in which considerations of the correlations between predictors are important. Users can set up a data generative model that preserves dependence structures among predictors given existing data (continuous, binary, or ordinal). Users can also generate power curves to assess the trade-offs between sample size, effect size, and power of a design. This package includes several statistical models common in environmental mixtures studies. For more details and tutorials, see Nguyen et al. (2022) <arXiv:2209.08036>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | mpower_0.1.0.tar.gz |
1.4 MiB |
0.1.0 |
rolling linux/noble R-4.5 | mpower_0.1.0.tar.gz |
1.4 MiB |
0.1.0 |
rolling source/ R- | mpower_0.1.0.tar.gz |
835.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | mpower_0.1.0.tar.gz |
1.4 MiB |
0.1.0 |
latest linux/noble R-4.5 | mpower_0.1.0.tar.gz |
1.4 MiB |
0.1.0 |
latest source/ R- | mpower_0.1.0.tar.gz |
835.1 KiB |
0.1.0 |
2026-04-26 source/ R- | mpower_0.1.0.tar.gz |
835.1 KiB |
0.1.0 |
2026-04-23 source/ R- | mpower_0.1.0.tar.gz |
835.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | mpower_0.1.0.zip |
1.4 MiB |
0.1.0 |
2025-04-20 source/ R- | mpower_0.1.0.tar.gz |
835.1 KiB |