MRMRTNormalizer.h

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// $Maintainer: George Rosenberger $
// $Authors: George Rosenberger, Hannes Roest $
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#ifndef OPENMS_ANALYSIS_OPENSWATH_MRMRTNORMALIZER_H
#define OPENMS_ANALYSIS_OPENSWATH_MRMRTNORMALIZER_H

// TODO (georger) check if needed
#include <OpenMS/APPLICATIONS/TOPPBase.h>
#include <OpenMS/CONCEPT/ProgressLogger.h>
#include <OpenMS/MATH/STATISTICS/LinearRegression.h>

#include <numeric>
#include <boost/math/special_functions/erf.hpp>

namespace OpenMS
{

  class OPENMS_DLLAPI MRMRTNormalizer
  {

public:

    static int outlier_candidate(std::vector<double>& x, std::vector<double>& y);

    static std::vector<std::pair<double, double> > rm_outliers(std::vector<std::pair<double, double> >& pairs,
                                                               double rsq_limit, 
                                                               double coverage_limit);

    static double chauvenet_probability(std::vector<double>& residuals, int pos);


    static bool chauvenet(std::vector<double>& residuals, int pos);
  };

}
#endif