#' CMDMeasure: A package for conditional mean dependence measures via energy statistics
#'
#' The CMDMeasure package provides measures of conditional mean dependence and tests of conditional mean
#' independence.
#'
#' @section Measuring conditional mean dependence:
#' The conditional mean dependence measures include:
#' \itemize{
#' \item conditional mean dependence of \code{Y} given \code{X}
#' \itemize{
#' \item martingale difference divergence
#' \item martingale difference correlation
#' }
#' }
#' \itemize{
#' \item conditional mean dependence of \code{Y} given \code{X} conditioning on \code{Z}
#' \itemize{
#' \item partial martingale difference divergence
#' \item partial martingale difference correlation
#' }
#' }
#'
#' @section Testing conditional mean independence:
#' The conditional mean independence tests include:
#' \itemize{
#' \item conditional mean independence of \code{Y} given \code{X} conditioning on \code{Z}
#' \itemize{
#' \item martingale difference divergence under a linear assumption
#' \item partial martingale difference divergence
#' }
#' }
#' The conditional mean independence tests based on the conditional mean dependence measures are
#' implemented as permutation tests.
#'
#' @name CMDMeasure-package
#'
#' @aliases CMDMeasure
#'
#' @docType package
#'
#' @title Conditional Mean Dependence Measures via Energy Statistics
#'
#' @author Ze Jin \email{zj58@cornell.edu},
#' Shun Yao \email{shunyao2@illinois.edu}, \cr
#' Xiaofeng Shao \email{xshao@illinois.edu},
#' David S. Matteson \email{matteson@cornell.edu}
NULL
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