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>.

Package details

AuthorJulien Patrick Irmer [aut, cre, cph] (<https://orcid.org/0000-0002-7544-6483>)
MaintainerJulien Patrick Irmer <jpirmer@gmail.com>
LicenseGPL-3
Version0.1.2
URL https://github.com/jpirmer/powerNLSEM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("powerNLSEM")

Try the powerNLSEM package in your browser

Any scripts or data that you put into this service are public.

powerNLSEM documentation built on Sept. 27, 2024, 5:10 p.m.