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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

VersionRepositoryFileSize
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

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