OpenMS  2.7.0
Modules | Classes
Math

Math functions and classes. More...

Collaboration diagram for Math:

Modules

 Statistics functions
 Various statistical functions.
 
 Misc functions
 Math functions.
 

Classes

class  BilinearInterpolation< Key, Value >
 Provides access to bilinearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More...
 
class  LinearInterpolation< Key, Value >
 Provides access to linearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More...
 
class  BasicStatistics< RealT >
 Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. More...
 
class  GammaDistributionFitter
 Implements a fitter for the Gamma distribution. More...
 
class  GaussFitter
 Implements a fitter for Gaussian functions. More...
 
class  GumbelDistributionFitter
 Implements a fitter for the Gumbel distribution. More...
 
class  GumbelMaxLikelihoodFitter
 Implements a fitter for the Gumbel distribution. More...
 
class  Histogram< ValueType, BinSizeType >
 Representation of a histogram. More...
 
class  LinearRegression
 This class offers functions to perform least-squares fits to a straight line model, $ Y(c,x) = c_0 + c_1 x $. More...
 
class  LinearRegressionWithoutIntercept
 This class offers functions to perform least-squares fits to a straight line model, $ Y(c,x) = c_0 + c_1 x $. More...
 
class  PosteriorErrorProbabilityModel
 Implements a mixture model of the inverse gumbel and the gauss distribution or a gaussian mixture. More...
 
class  ROCCurve
 ROCCurves show the trade-off in sensitivity and specificity for binary classifiers using different cutoff values. More...
 

Detailed Description

Math functions and classes.