OpenMS
2.6.0
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Math functions and classes. More...
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, . More... | |
class | LinearRegressionWithoutIntercept |
This class offers functions to perform least-squares fits to a straight line model, . 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... | |
Math functions and classes.