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>.
Package details |
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Author | Julien Patrick Irmer [aut, cre, cph] (<https://orcid.org/0000-0002-7544-6483>) |
Maintainer | Julien Patrick Irmer <jpirmer@gmail.com> |
License | GPL-3 |
Version | 0.1.2 |
URL | https://github.com/jpirmer/powerNLSEM |
Package repository | View on CRAN |
Installation |
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