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Altaxo.Calc.FitFunctions.Transitions Namespace

[Missing <summary> documentation for "N:Altaxo.Calc.FitFunctions.Transitions"]

Classes
 ClassDescription
Public classErrorFunctionFromTo This function produces a continuous transition from a left to a right polynomial, centered at xc, with the width of the transition determined by σ. It is commonly used for modeling gradual transitions or soft thresholds.
Public classFermiDiracTransitionBase Base class providing utilities for Fermi-Dirac style transitions and a common implementation of the IFitFunction interface.
Public classGeneralEffectiveMedium Only for testing purposes - use a "real" linear fit instead.
Public classGeneralEffectiveMediumLog10 Only for testing purposes - use a "real" linear fit instead.
Public classGeneralizedLogisticDecreasing Fit function with one or more decreasing steps (generalized logistic function), with a background polynomial of variable order.
Public classGeneralizedLogisticIncreasing Fit function with one or more increasing steps (generalized logistic function), with a background polynomial of variable order.
Public classGompertzTransition This function produces a continuous transition with the Gompertz function from a left to a right polynomial, centered at xc, with the width of the transition determined by σ. It is commonly used for modeling tumor growth rates, and mortality and survival analysis.
Public classLinearFermiDiracTransition Linear scaled Fermi-Dirac transition implementation.
Public classLogarithmicFermiDiracTransition Logarithmically scaled Fermi-Dirac transition implementation.
Public classLogisticDecreasing Fit fuction with one or more decreasing steps (Logistic function), with a background polynomial of variable order.
Public classLogisticIncreasing Fit fuction with one or more increasing steps (Logistic function), with a background polynomial of variable order.
Public classPercolationTheory Utility class providing the simple percolation theory transition expression.
Public classSmoothedPercolation Only for testing purposes - use a "real" linear fit instead.