powerNLSEM
Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are given in Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | powerNLSEM_0.1.2.tar.gz |
643.0 KiB |
0.1.2 |
rolling linux/noble R-4.5 | powerNLSEM_0.1.2.tar.gz |
643.0 KiB |
0.1.2 |
rolling source/ R- | powerNLSEM_0.1.2.tar.gz |
459.3 KiB |
0.1.2 |
latest linux/jammy R-4.5 | powerNLSEM_0.1.2.tar.gz |
643.0 KiB |
0.1.2 |
latest linux/noble R-4.5 | powerNLSEM_0.1.2.tar.gz |
643.0 KiB |
0.1.2 |
latest source/ R- | powerNLSEM_0.1.2.tar.gz |
459.3 KiB |
0.1.2 |
2026-04-26 source/ R- | powerNLSEM_0.1.2.tar.gz |
459.3 KiB |
0.1.2 |
2026-04-23 source/ R- | powerNLSEM_0.1.2.tar.gz |
459.3 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | powerNLSEM_0.1.2.zip |
646.1 KiB |
0.1.2 |
2025-04-20 source/ R- | powerNLSEM_0.1.2.tar.gz |
459.3 KiB |