#' MDMICA: A package for independent component analysis via mutual dependence measures
#'
#' The MDMICA package provides independent component analysis methods based on mutual dependence measures.
#'
#' @section Applying mutual dependence measures:
#' The mutual dependence measures include:
#' \itemize{
#' \item distance-based energy statistics
#' \itemize{
#' \item asymmetric measure \eqn{\mathcal{R}_n} based on distance covariance \eqn{\mathcal{V}_n}
#' \item symmetric measure \eqn{\mathcal{S}_n} based on distance covariance \eqn{\mathcal{V}_n}
#' \item simplified complete measure \eqn{\mathcal{Q}_n^\star} based on incomplete V-statistics
#' }
#' }
#' \itemize{
#' \item kernel-based maximum mean discrepancies
#' \itemize{
#' \item d-variable Hilbert--Schmidt independence criterion dHSIC\eqn{_n} based on
#' Hilbert--Schmidt independence criterion HSIC\eqn{_n}
#' }
#' }
#'
#' @section Initializing local optimization methods:
#' The initialization methods include:
#' \itemize{
#' \item Latin hypercube sampling
#' \item Bayesian optimization
#' }
#'
#' @name MDMICA-package
#'
#' @aliases MDMICA
#'
#' @docType package
#'
#' @title Independent Component Analysis via Mutual Dependence Measures
#'
#' @author Ze Jin \email{zj58@cornell.edu},
#' David S. Matteson \email{matteson@cornell.edu}
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