You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: riskAnalysisPostProcess.m
    path of file: ./repos/CADET/src/cadet-mi/examples/publications/LewekeEtAl2018/procana
    
    the code of the file until where you have to start completion: function [purityRequirement, failureProb, lowerQuant, upperQuant] = riskAnalysisPostProcess(purities)

    
function [purityRequirement, failureProb, lowerQuant, upperQuant] = riskAnalysisPostProcess(purities)
%RISKANALYSISPOSTPROCESS Computes failure probabilities from purity samples
%
%   The probability of failing a purity requirement is analyzed by a Monte
%   Carlo simulation. It is assumed that the loading concentrations are
%   subject to noise following a multivariate Gaussian distribution. By first
%   sampling loading concentrations from this distribution and computing
%   purity (and yield) for each sample, purity samples are created. In a
%   second step the failure probability is evaluated by computing a mean and
%   the variation of the probability is assessed using a Monte Carlo
%   bootstrap. The cut points are fixed in this study and the the noise on
%   each component is assumed to be uncorrelated with given standard
%   deviation.
%
%   This function performs the failure probability calculation including the 
%   Monte Carlo bootstrap. See RISKANALYSISSAMPLING() for sample generation.
%
%   The model describes ion-exchange chromatography of lysozyme, cytochrome,
%   and ribonuclease on the strong cation-exchanger SP Sepharose FF. Model
%   parameters are taken from benchmark 2 of the following publication:
%   A. Püttmann, S. Schnittert, U. Naumann & E. von Lieres (2013).
%   Fast and accurate parameter sensitivities for the general rate model of
%   column liquid chromatography.
%   Computers & Chemical Engineering, 56, 46–57.
%   doi:10.1016/j.compchemeng.2013.04.021
%
%   RISKANALYSISPOSTPROCESS(PURITIES) calculates failure probabilities
%   using the purity samples generated by RISKANALYSISSAMPLING.
%
%   [PURITYREQUIREMENT, FAILUREPROB, LOWERQUANT, UPPERQUANT] = RISKANALYSISPOSTPROCESS(...)
%   returns a vector PURITYREQUIREMENT with ascend