#' @details
#' <%=header%>
#'
#' * `"mr"` : Method _Median Ranks_ is used to estimate the failure probabilities
#' of failed units without considering censored items. Tied observations can be
#' handled in three ways (See 'Options'):
#'
#' * `"max"` : Highest observed rank is assigned to tied observations.
#' * `"min"` : Lowest observed rank is assigned to tied observations.
#' * `"average"` : Mean rank is assigned to tied observations.
#'
#' Two formulas can be used to determine cumulative failure probabilities
#' *F(t)* (See 'Options'):
#'
#' * `"benard"` : Benard's approximation for Median Ranks.
#' * `"invbeta"` : Exact Median Ranks using the inverse beta distribution.
#'
#' * `"johnson"` : The _Johnson_ method is used to estimate the failure
#' probabilities of failed units, taking censored units into account. Compared
#' to complete data, correction of probabilities is done by the computation of
#' adjusted ranks. Two formulas can be used to determine cumulative failure
#' probabilities *F(t)* (See 'Options'):
#'
#' * `"benard"` : Benard's approximation for Median Ranks.
#' * `"invbeta"` : Exact Median Ranks using the inverse beta distribution.
#'
#' * `"kaplan"` : The method of _Kaplan_ and _Meier_ is used to estimate the
#' survival function *S(t)* with respect to (multiple) right censored data.
#' The complement of *S(t)*, i.e. *F(t)*, is returned. In contrast to the
#' original *Kaplan-Meier* estimator, one modification is made (see 'References').
#' * `"nelson"` : The _Nelson-Aalen_ estimator models the cumulative hazard rate
#' function in case of (multiple) right censored data. Equating the formal
#' definition of the hazard rate with that according to *Nelson-Aalen* results
#' in a formula for the calculation of failure probabilities.
#'
#' @md
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