R/cvGWAS.R

In cvGWAS: Genome-wide association analysis based on predictive ability

#' 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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