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powerNLSEM  

Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
View on CRAN: Click here


Download and install powerNLSEM package within the R console
Install from CRAN:
install.packages("powerNLSEM")

Install from Github:
library("remotes")
install_github("cran/powerNLSEM")

Install by package version:
library("remotes")
install_version("powerNLSEM", "0.1.2")



Attach the package and use:
library("powerNLSEM")
Maintained by
Julien Patrick Irmer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-31
Latest Update: 2024-09-27
Description:
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).
How to cite:
Julien Patrick Irmer (2024). powerNLSEM: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM. R package version 0.1.2, https://cran.r-project.org/web/packages/powerNLSEM. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.1.1 (2024-07-31 12:30)
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Complete documentation for powerNLSEM
Functions, R codes and Examples using the powerNLSEM R package
Full powerNLSEM package functions and examples
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