#' @describeIn <%=what%> Generates a consensus of results from multiple
#' objects. In order to rank the consensus candidates, first
#' each of the candidates are scored based on their original ranking
#' (the scores are normalized and the highest ranked candidate gets value
#' \samp{1}). The (weighted) mean is then calculated for all scorings of each
#' candidate to derive the final ranking (if an object lacks the candidate its
#' score will be \samp{0}). The original rankings for each object is stored in
#' the \code{rank} columns.
#'
#' @param rankWeights A numeric vector with weights of to calculate the mean
#' ranking score for each candidate. The value will be re-cycled if necessary,
#' hence, the default value of \samp{1} means equal weights for all considered
#' objects.
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