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#' cvGWAS: Genome-wide association analysis based on predictive ability
#'
#' \tabular{ll}{
#' Package: \tab cvGWAS\cr
#' Type: \tab Package\cr
#' Version: \tab 0.1\cr
#' Date: \tab 2013-07-29\cr
#' License: \tab GPL (>= 2)\cr
#' LazyLoad: \tab yes\cr
#' Depends: \tab GenABEL\cr
#' }
#'
#' The package provides an analytical tool for genome-wide
#' association study based on cross-validated predictive ability
#' of each genetic variant.
#'
#' @author Xia Shen
#'
#' @references
#' To cite this work:
#'
#' Shen X. (2013) The missing heritability revealed in \emph{Arabidopsis thaliana}. \bold{Submitted}.
#'
#' @keywords GWAS, cross-validation, predictive ability
#'
#' @seealso \code{DatABEL}, \code{genetics}, \code{haplo.stats}, \code{qvalue}
#'
#' @examples
#' \dontrun{
#' demo(ge03d2)
#' demo(srdta)
#' demo(srdtawin)
#' }
#'
#' @name cvGWAS-package
#' @docType package
#' @title GWAS based on predictive ability
#' @aliases cvGWAS cvgwas
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