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:57
Abstract base class for all 1D-model fitters using maximum likelihood optimization.
Definition: MaxLikeliFitter1D.h:48
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
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
std::vector< PeakType > RawDataArrayType
Raw data container type using for the temporary storage of the input data.
Definition: Fitter1D.h:76