Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
| STK::AAModelFactory | @ |
| STK::AdditiveBSplineCoefficients | Compute the regression splines coefficients of an additive model |
| STK::AdditiveBSplineRegression | Compute an additive BSpline, multivalued, regression function using BSpline basis |
| STK::AICCriterion | Derived class of Criterion for computing the AIC Criterion The AIC criteria is a penalization of the likelihood given by the formula
where |
| STK::Arithmetic< TYPE > | Arithmetic properties of STK fundamental types |
| STK::Arithmetic< Binary > | Specialization for Binary |
| STK::Arithmetic< Char > | Specialization of the struct Arithmetic for Char |
| STK::Arithmetic< Integer > | Specialization for Integer (long) |
| STK::Arithmetic< NotAvailable > | Specialization for NotAvailable |
| STK::Arithmetic< Real > | Specialization for Real |
| STK::Arithmetic< Sign > | Specialization for Sign |
| STK::Arithmetic< String > | Specialization for String |
| STK::Array1D< TYPE > | Templated one dimensional Array |
| STK::Array1D< Real > | Specialization of the templated class Array1D for Real |
| STK::Array2D< TYPE > | Templated two dimensional column (vertically) oriented Array |
| STK::Array2D< Real > | Specialization of the Array2D class for Real values |
| STK::ArrayHo< TYPE > | Templated one dimensional horizontal Array |
| STK::ArrayHo< Real > | Specialization of the templated class ArrayHo for Real |
| STK::BICCriterion | Derived class of Criterion for computing the BIC Criterion The Bic criteria is a penalization of the likelihood given by the formula
where |
| STK::BinOp< Op, ExpLeft, ExpRight > | Binary Operator class derived from BinOpBase class which is specialized |
| STK::BinOpBase< Op, ExpLeft, ExpRight > | Binary Operator bbase class |
| STK::BinOpBase< Mult, ExpLeft, Matrix > | Specialized Binary Operator Base class for the case ExpLeft * Matrix |
| STK::BinOpBase< Mult, ExpLeft, MatrixLowerTriangular > | Specialized Binary Operator Base class for the case ExpLeft * MatrixLowerTriangular |
| STK::BinOpBase< Mult, ExpLeft, MatrixSquare > | Specialized Binary Operator Base class for the case ExpLeft * MatrixSquare |
| STK::BinOpBase< Mult, ExpLeft, MatrixUpperTriangular > | Specialized Binary Operator Base class for the case ExpLeft * MatrixUpperTriangular |
| STK::BinOpBase< Mult, Matrix, ExpRight > | Specialized Binary Operator Base class for the case Matrix * ExpRight |
| STK::BinOpBase< Mult, MatrixLowerTriangular, ExpRight > | Specialized Binary Operator Base class for the case MatrixLowerTriangular * ExpRight |
| STK::BinOpBase< Mult, MatrixSquare, ExpRight > | Specialized Binary Operator Base class for the case Matrix * ExpRight |
| STK::BinOpBase< Mult, MatrixUpperTriangular, ExpRight > | Specialized Binary Operator Base class for the case MatrixUpperTriangular * ExpRight |
| STK::BinOpBase< Op, ExpLeft, Real > | Specialized Binary Operator Base class for the case Exp Op Real |
| STK::BinOpBase< Op, Real, ExpRight > | Specialized Binary Operator Base class for the case Real Op Exp |
| STK::Stat::Bivariate< XTYPE, YTYPE, TContainer1D > | Computation of the bivariate Statistics of two Variables |
| STK::Stat::Bivariate< Real, Real, TContainer1D > | Computation of the bivariate Statistics of two Variables |
| STK::BSplineCoefficients | Compute the regression splines coefficients |
| STK::BSplineRegression | Compute a BSpline, multivalued, regression function using BSpline basis |
| STK::Category | Category in FreeMiner's tool box component |
| STK::Law::Cauchy | Cauchy distribution law |
| STK::Cell2D< TYPE > | Templated class for the 2 Dimensional Cells |
| STK::CellBase< TYPE > | Templated Base class for the Cell in a list |
| STK::CellHo< TYPE > | Templated class for the Horizontal Cell of a Horizontal List |
| STK::CellVe< TYPE > | Templated class for the Vertical Cell of a Vertical List |
| STK::Connection | A connection between two distinct Steps in a program |
| STK::ConstProxy< TYPE > | The ConstProxy class allow to surdefine operators and methods for every kind of constant class and type without using dynamic_cast |
| STK::DataFrame | DataFrame is a List of Variable with the same number of rows |
| STK::Div | Binary Operator Div |
| STK::EigenvaluesSymmetric | The class EigenvaluesSymmetric compute the eigenvalue Decomposition of a symmetric Matrix |
| STK::ExportToArray2D< TYPE > | The ExportToArray2D class allow to export the data of some TYPE stored in a DataFrame to be exported in an Array2D container |
| STK::ExportToCsv | Export data to a Csv stream |
| STK::Gaussian2BlocksStatModel | Compute the the maximum likelihood estimates of a Gaussian tow blocks statistical model |
| STK::GaussianStatModel | Compute the the maximum likelihood estimates of a Gaussian statistical model |
| STK::GinvSymmetric | Functor allowing to compute the generalized inverse of a symmetric matrix |
| STK::GProgram | A GProgram is a succession of Step connected |
| STK::IAAModel | @ |
| STK::IArray1DBase< TYPE, PTRELT, TArray1D > | Templated Interface base class for uni-dimensional arrays |
| STK::IArray2D< TYPE, TArray2D > | Templated interface base class for two-dimensional arrays |
| STK::IArray2DBase< TYPE, PTRCOL, TArrayHo, TArrayVe, TArray2D > | Templated interface base class for two-dimensional arrays |
| STK::IArrayBase< DATA > | Templated Interface base class for all Arrays classes |
| STK::IContainer1D | Interface base class for homogeneous 1D containers |
| STK::IContainer2D | Interface class for 2D containers |
| STK::IContainerBase< Container > | Interface base class for all containers implementing the curious recursive template paradigm |
| STK::IContainerRef | Base class for all referencing containers |
| STK::ICriterion | Interface base class for the selection model criterions |
| STK::IdTypeImpl< TYPE > | Implementation of the return type |
| STK::IdTypeImpl< Binary > | Specialization of the IdTypeImpl for the Type Binary |
| STK::IdTypeImpl< Char > | Specialization of the IdTypeImpl for the Type Char |
| STK::IdTypeImpl< Integer > | Specialization of the IdTypeImpl for the Type Integer |
| STK::IdTypeImpl< NotAvailable > | Specialization of the IdTypeImpl for the Type NotAvailable |
| STK::IdTypeImpl< Real > | Specialization of the IdTypeImpl for the Type Real |
| STK::IdTypeImpl< Sign > | Specialization of the IdTypeImpl for the Type Sign |
| STK::IdTypeImpl< String > | Specialization of the IdTypeImpl for the Type String |
| STK::Law::ILawBase | Interface base class for all the (univariate/multivariate) probabilities laws |
| STK::ILinearReduct | A ILinearReduct is an interface base class for criteria to maximize in order to find the axis of a linear reduction |
| STK::ImportFromCsv | Import data from a Csv File |
| STK::IPage | A IPage is an interface base class for reading and/or writing a page of option in a file |
| STK::IPropertySource | Interface to an object which is capable of supplying properties for display by the standard property sheet page implementation (PropertySheetPage) |
| STK::IProxy | The IProxy classes is an interface class for wrapping the fundamental types |
| STK::IRecursiveTemplate< Leaf > | Interface base class for all classes implementing the curious recursive template paradigm |
| STK::IReduct | A IReduct is an interface base class for dimension reduction techniques |
| STK::IRegress< YContainer, XContainer > | Interface base class for Regression methods |
| STK::IRegress< YContainer, Matrix > | Partial specialization of the base class IRegress for the Multidimensional case |
| STK::IRunnerBase | Abstract base class for all classes having a |
| STK::IRunnerPtr2D< TYPE, TContainerHo, TContainerVe, TContainer2D > | Abstract base class for all classes having a |
| STK::IRunnerRef2D< TYPE, TContainerHo, TContainerVe, TContainer2D > | Abstract base class for all classes having a |
| STK::ISerie< Serie > | Interface base class for Series |
| STK::IStatModelBase | Interface base class for all statistical models |
| STK::IStep | Interface Base class for Steps |
| STK::ITContainer1D< TYPE, TContainer1D > | Interface base class for homogeneous 1D containers |
| STK::ITContainer2D< TYPE, TContainerHo, TContainerVe, TContainer2D > | Interface class for homogeneous 2D containers |
| STK::ITContainer2DBase< TYPE, TContainer2D > | Interface base class for homogeneous 2D containers |
| STK::Law::ITMultivariate< TYPE, Container1D > | Interface base Class for the multivariate distributions |
| STK::ITStatModel< TYPE, TContainerHo, TContainerVe, TContainer2D > | Interface base class for all statistical models |
| STK::Law::ITUnivariate< TYPE > | Interface base class for all the univariate probabilities laws |
| STK::IVariable | IVariable is an Interface class for all Variables classes |
| STK::LinearAAModel | A Linear AutoAssociative Model (LAAM) is a generalization of the PCA model for projecting variables on an affine plane of lower dimension |
| STK::List1D< TYPE > | Templated One dimensional Horizontal List |
| STK::LocalVariance | A LocalVariance is an implementation of the abstract ILinearReduct class |
| STK::MatrixDiagonal | |
| STK::MatrixLowerTriangular | Declaration of the lower triangular matrix class |
| STK::MatrixSquare | Derivation of the MatrixSquare class for square arrays of Real |
| STK::MatrixUpperTriangular | Declaration of the upper triangular matrix class |
| STK::Minus | Binary Operator Minus |
| MTRand | Generate unsigner 32 bits random number using the Merdsenne Twister Algorithm |
| STK::Mult | Binary Operator Mult |
| STK::MultidimRegression | The MultidimRegression class allows to regress a multidimensional output variable among a multivariate explanation variable |
| STK::Stat::Multivariate< TYPE, TContainerHo, TContainerVe, TContainer2D > | Computation of the multivariate statistics of a Variable |
| STK::Stat::Multivariate< Real, TContainerHo, TContainerVe, TContainer2D > | Computation of the Multivariate Statistics of a 2D Container of Real |
| STK::Law::MultivariateNormal< Container1D > | Class for the multivariate Normal distribution |
| STK::Law::Normal | Normal distribution law |
| numeric_limits | |
| STK::Option | Option class allow to store the value of an option from a IPage |
| STK::Plus | Binary Operator Plus |
| STK::ProjectedVariance | A ProjectedVariance is an implementation of the abstract ILinearReduct class |
| STK::PropertyDescriptor | A descriptor for a property to be presented by a standard property sheet page (PropertySheetPage) |
| STK::Proxy< TYPE > | The Proxy classe allow to surdefine operators and methods for every kind of class without using dynamic_cast |
| STK::Qr | The class Qr perform the QR decomposition of a Matrix |
| STK::RandBase | Class for the Base random generator |
| STK::Range | Index sub-vector region |
| STK::ReadWriteCsv | ReadWriteCsv class : allow to write and/or to read a csv file |
| STK::ReadWritePages | Allow to handle a file of option containing pages |
| STK::RecursiveArray1D< TYPE, Container1D > | Templated one dimensional Array |
| STK::RecursiveArray2D< TYPE, Container2D > | Templated two dimensional column (vertically) oriented Array |
| STK::Svd | The class Svd compute the Singular Value Decomposition of a Matrix with the Golub-Reinsch Algorithm |
| STK::Tool | Specified a tool in FreeMiner's tool box component |
| STK::Uminus | Unary Operator Minus |
| STK::Stat::Univariate< TYPE, TContainer1D > | Computation of the univariate Statistics of a Variable |
| STK::Stat::Univariate< Real, TContainer1D > | Computation of the univariate Statistics of a Real Variable |
| STK::UnOp< Op, Exp > | UnOp class for unary operators |
| STK::Uplus | Unary Operator Plus |
| STK::Variable< TYPE > | Variable is an implementation of the Base class IVariable using The Array1D class for storing the data |
![\[ -2 \cdot \ln{p(x|k)} \approx \mathrm{AIC} = {-2 \cdot \ln{L} +2 D } \]](form_135.png)
represents the likelihood of the observations and 
the number of free parameter of the model ![\[ -2 \cdot \ln{p(x|k)} \approx \mathrm{BIC} = {-2 \cdot \ln{L} + D \ln(n) } \]](form_138.png)
the number of sample 