| OpenMS 2.5.0

Modules | Classes
Math

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...

## Detailed Description

Math functions and classes.