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>.
| Version: | 0.1.2 |
| Depends: | ggplot2, stats, utils |
| Imports: | crayon,lavaan (≥ 0.6.16),mvtnorm,numDeriv,pbapply,rlang (≥ 1.1.0),stringr |
| Suggests: | knitr,MplusAutomation (≥ 0.7-2),rmarkdown,semTools,simsem |
| Published: | 2024-09-27 |
| DOI: | 10.32614/CRAN.package.powerNLSEM |
| Author: | Julien Patrick Irmer [aut, cre, cph] |
| Maintainer: | Julien Patrick Irmer <jpirmer at gmail.com> |
| BugReports: | https://github.com/jpirmer/powerNLSEM/issues |
| License: | GPL-3 |
| URL: | https://github.com/jpirmer/powerNLSEM |
| NeedsCompilation: | no |
| Citation: | powerNLSEM citation info |
| Materials: | README,NEWS |
| CRAN checks: | powerNLSEM results |
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