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#' A Tool for Sensitivity Analysis in Structural Equation Modeling
#'
#' 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.
#'
#' 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
#' \code{\link{gen.sens.pars}} function that generates sensitivity parameters (
#' running in background for the sa.aco function),
#' \code{\link{sa.aco}} function that performs sensitivity analysis, and
#' \code{\link{sens.tables}} function that summarizes sensitivity analysis
#' results,
#'
#' @author Walter Leite, Zuchao Shen
#'
#' Maintainer: Walter Leite \href{mailto:walter.leite@coe.ufl.edu}{walter.leite@coe.ufl.edu}
#' (University of Florida)
#'
#' @docType package
"_PACKAGE"
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