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powerNLSEM
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.powerNLSEM . https://github.com/jpirmer/powerNLSEM/issues . https://github.com/jpirmer/powerNLSEM . powerNLSEM citation info . powerNLSEM results . powerNLSEM.pdf . powerNLSEM . powerNLSEM_0.1.2.tar.gz . powerNLSEM_0.1.2.zip . powerNLSEM_0.1.2.zip . powerNLSEM_0.1.2.zip . powerNLSEM_0.1.2.tgz . powerNLSEM_0.1.2.tgz . powerNLSEM_0.1.2.tgz . powerNLSEM_0.1.2.tgz . powerNLSEM_0.1.2.tgz . powerNLSEM_0.1.2.tgz . powerNLSEM archive . https://CRAN.R-project.org/package=powerNLSEM .
First Published: 2024-07-31
Latest Update: 2024-07-31
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 01 Apr. 2025.
Previous versions and publish date:
0.1.1 (2024-07-31 12:30)
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