| SEMsens-package {SEMsens} | R Documentation |
A Tool for Sensitivity Analysis in Structural Equation Modeling
Description
This package is to help researchers perform and report sensitivity analysis in structural equation modeling using a phantom variable approach proposed by Harring, McNeish, & Hancock, (2017). The specific reference is Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (in press). Using ant colony optimization for sensitivity analysis in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal.
Details
The package covers sensitivity analysis using ant colony optimization and
other meta-heuristic optimization methods (in development) to automatically
search a phantom variable, if there is any, that meets the optimization function.
The current package includes three main functions and they are
gen.sens.pars function that generates sensitivity parameters (
running in background for the sa.aco function),
sa.aco function that performs sensitivity analysis, and
sens.tables function that summarizes sensitivity analysis
results,
Author(s)
Walter Leite, Zuchao Shen
Maintainer: Walter Leite walter.leite@coe.ufl.edu (University of Florida)