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#' @title imputation using the EM algorithm
#'
#' @description
#' This function performs missing values imputation using the EM algorithm
#'
#' @param dataSet.mvs expression matrix with MVs (either peptides or proteins)
#'
#' @return expression matrix with MVs imputed
#'
#' @export
#' @importFrom norm prelim.norm em.norm rngseed imp.norm
#'
impute.wrapper.MLE = function(dataSet.mvs){
s <- prelim.norm (dataSet.mvs)
thetahat <- em.norm (s, showits = FALSE ) # find the mle
rngseed (1234567)
dataSet.imputed <- imp.norm (s, thetahat , dataSet.mvs ) # impute missing data under the MLE
return(dataSet.imputed)
}
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