R: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

# Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

## Documentation for package ‘powerNLSEM’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

FSR | Factor Score Regression approach
LMS | Latent moderated strctural equations by Klein and Moosbrugger (2000), the ML approach to nonlinear SEM
plot.powerNLSEM | plot powerNLSEM object
powerNLSEM | powerNLSEM function
power_search | Search function to find N for desired power
print.powerNLSEM | print powerNLSEM objects
print.summary.powerNLSEM | print summary for powerNLSEM objects
reanalyse.powerNLSEM | Reanalyse powerNLSEM object
simulateNLSEM | simulate data from lavModel object
SR | Scale Regression approach
summary.powerNLSEM | Summary function for powerNLSEM objects
UPI | Unconstrained Product Indicator approach by Marsh et al. (2004), with extensions by Kelava and Brandt (2009)