36 #ifndef OPENMS_TRANSFORMATIONS_FEATUREFINDER_BIGAUSSFITTER1D_H 
   37 #define OPENMS_TRANSFORMATIONS_FEATUREFINDER_BIGAUSSFITTER1D_H 
   79       return "BiGaussFitter1D";
 
   89     void updateMembers_();
 
   93 #endif // OPENMS_TRANSFORMATIONS_FEATUREFINDER_BIGAUSSFITTER1D_H 
A more convenient string class. 
Definition: String.h:56
Abstract base class for all 1D-model fitters using maximum likelihood optimization. 
Definition: MaxLikeliFitter1D.h:48
static Fitter1D * create()
create new BiGaussModel object (function needed by Factory) 
Definition: BiGaussFitter1D.h:68
Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. 
Definition: BasicStatistics.h:68
Bigaussian distribution fitter (1-dim.) approximated using linear interpolation. 
Definition: BiGaussFitter1D.h:50
static const String getProductName()
name of the model (needed by Factory) 
Definition: BiGaussFitter1D.h:77
Abstract class for 1D-models that are approximated using linear interpolation. 
Definition: InterpolationModel.h:55
Math::BasicStatistics statistics1_
statistics for first peak site 
Definition: BiGaussFitter1D.h:85
Abstract base class for all 1D-dimensional model fitter. 
Definition: Fitter1D.h:59
Math::BasicStatistics statistics2_
statistics for second peak site 
Definition: BiGaussFitter1D.h:87