Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼NURANIE
▼NCalibration
CTABC
CTCalibration	Description of the class TCalibration
CTDistanceFunction	Description of the class TDistanceFunction
CTL1DistanceFunction	Description of the class TL1DistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times ( \sum_{j=1}^{n_{Obs}} | \mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}} | ) \] where
CTLinearBayesian	Description of the class TLinearBayesian
CTLSDistanceFunction	Description of the class TLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where
CTMahalanobisDistanceFunction	Description of the class TMahalanobisDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}})^{T} \Omega^{-1} (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}}) } \] where
CTMetropHasting
CTMinimisation	Description of the class TMinimisation
CTPMCABC
CTRejectionABC
CTRelativeLSDistanceFunction	Description of the class TRelativeLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \frac{(\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}}{(\mathbf{y^{j}_{i,Obs}})^{2}}} \] where
CTWeightedLSDistanceFunction	Description of the class TWeightedLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \beta_{j} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where
Chide_DistanceConstructor