Nothing
#' MMeM: Estimating the variance covariance components of the multivariate mixed effects model
#'
#'
#' @author Luyao Peng \email{luyaopeng.cn@gmail.com}
#' @author Rui Yang \email{ray.cn.us@gmail.com}
#' @description
#' This package analyzes data under multivariate mixed effects model using multivariate REML and multivariate Henderson3 methods.
#' Currently, it only supports multivariate mixed effects model with one fixed effects and one random effects and two response
#' variates.
#' See Meyer (1985) <doi:10.2307/2530651> and Wesolowska Janczarek (1984) <doi:10.1002/bimj.4710260613>.
#'
#' @docType package
#' @name MMeM
"_PACKAGE"
#' simulated datasets
#' @title
#' simulated bivariate data
#'
#' @description
#' This is a simulated data with 2 dependent variables and one fixed effects
#' and one random effects
#'
#' @docType data
#' @name simdata
#' @usage data(simdata)
#'
#'
#' @keywords datasets
#'
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.