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powerNLSEM

This is an R package to conduct the model-implied simulation-based power estimation (MSPE) procedures to find the minimum sample size for a given power within a nonlinear Structural Equation Model (NLSEM) for several parameters of interest (POI).

Install the Latest Working Version from Github

This requires the package devtools.

install.packages("devtools")
devtools::install_github("jpirmer/powerNLSEM", build_vignettes = TRUE)

Use build_vignettes = T to be able to see the documentation linked in "Getting Started".

Install the Submitted Version from GitHub

2024

If you wish to install the version of the package as it was submitted in 2024, please use

install.packages("devtools")
devtools::install_github("jpirmer/powerNLSEM", build_vignettes = TRUE, 
                         ref = "Submitted2024")

Submitted2024 is the branch name.

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Version

Install

install.packages('powerNLSEM')

Monthly Downloads

164

Version

0.1.2

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Julien Patrick Irmer

Last Published

September 27th, 2024

Functions in powerNLSEM (0.1.2)

print.summary.powerNLSEM

print summary for powerNLSEM objects
FSR

Factor Score Regression approach
reanalyse.powerNLSEM

Reanalyse powerNLSEM object
UPI

Unconstrained Product Indicator approach by Marsh et al. (2004), with extensions by Kelava and Brandt (2009)
power_search

Search function to find N for desired power
LMS

Latent moderated strctural equations by Klein and Moosbrugger (2000), the ML approach to nonlinear SEM
plot.powerNLSEM

plot powerNLSEM object
SR

Scale Regression approach
powerNLSEM

powerNLSEM function
print.powerNLSEM

print powerNLSEM objects
simulateNLSEM

simulate data from lavModel object
summary.powerNLSEM

Summary function for powerNLSEM objects