Computational Morphometry Toolkit: cmtk::GeneralLinearModel Class Reference

Pixelwise linear modeling and t statistics of data. More...

#include <cmtkGeneralLinearModel.h>

Collaboration diagram for cmtk::GeneralLinearModel:

Collaboration graph

List of all members.

Public Types
typedef GeneralLinearModel	Self
	This class.
typedef SmartPointer< Self >	SmartPtr
	Smart pointer type.
Public Member Functions
	GeneralLinearModel (const size_t nParameters, const size_t nData, const double *designMatrix)
	Constructor.
	~GeneralLinearModel ()
	Destructor.
double	GetSingularValue (const size_t n) const
	Get singular value of the SVD decomposition of the design matrix.
Matrix2D< double > *	GetCorrelationMatrix () const
	Get the parameter correlation matrix from design matrix.
void	FitModel (std::vector< TypedArray::SmartPtr > &y, const bool normalizeParameters=true)
	Model y[] distribution and return model parameters a[].
TypedArray::SmartPtr &	GetModel (const size_t n)
	Get pointer to n-th model parameter array.
double	GetNormFactor (const size_t p)
	Get normalization factor for parameter number 'p'.
TypedArray::SmartPtr &	GetTStat (const size_t n)
	Get pointer to n-th parameter t statistics array.
TypedArray::SmartPtr &	GetFStat ()
	Get pointer to n-th parameter t statistics array.
Private Member Functions
void	InitResults (const size_t nPixels)
	Initialize results arrays with the correct number of pixels.
Private Attributes
size_t	NParameters
	Number of model parameters.
size_t	NData
	Number of data items.
Matrix2D< double >	DesignMatrix
	Design matrix.
Matrix2D< double > *	U
	Matrix U of the design matrix SVD.
std::vector< Matrix2D< double > * >	Up
	Array of partial design matrices.
Matrix2D< double > *	V
	Matrix V the design matrix SVD.
std::vector< Matrix2D< double > * >	Vp
	SVD of partial design matrices.
std::vector< double > *	W
	Vector W (workspace).
std::vector< std::vector < double > * >	Wp
	Workspace vectors for partial regressions.
std::vector< double >	VariableMean
	Means of variables.
std::vector< double >	VariableSD
	Standard deviations of variables.
std::vector< TypedArray::SmartPtr >	Model
	Computed model coefficients.
std::vector< TypedArray::SmartPtr >	TStat
	Computed model t statistics coefficients.
TypedArray::SmartPtr	FStat
	Computed model F statistics.

Detailed Description

Pixelwise linear modeling and t statistics of data.

Note:: This class formerly contained a method for getting the covariance matrix of an SVD. It has been removed due to obsolete implementation (Numerical Recipes) and un-use

Definition at line 59 of file cmtkGeneralLinearModel.h.

Member Typedef Documentation

typedef GeneralLinearModel cmtk::GeneralLinearModel::Self

This class.

Definition at line 63 of file cmtkGeneralLinearModel.h.

typedef SmartPointer<Self> cmtk::GeneralLinearModel::SmartPtr

Smart pointer type.

Definition at line 66 of file cmtkGeneralLinearModel.h.

Member Function Documentation

TypedArray::SmartPtr& cmtk::GeneralLinearModel::GetFStat ( ) [inline]

Get pointer to n-th parameter t statistics array.

Definition at line 122 of file cmtkGeneralLinearModel.h.

TypedArray::SmartPtr& cmtk::GeneralLinearModel::GetModel ( const size_t n ) [inline]

Get pointer to n-th model parameter array.

Definition at line 100 of file cmtkGeneralLinearModel.h.

double cmtk::GeneralLinearModel::GetNormFactor ( const size_t p ) [inline]

Get normalization factor for parameter number 'p'.

Definition at line 106 of file cmtkGeneralLinearModel.h.

double cmtk::GeneralLinearModel::GetSingularValue ( const size_t n ) const [inline]

Get singular value of the SVD decomposition of the design matrix.

Parameters:

n	Index of the model parameter [0..NParameters-1].

Returns:: The singular value for parameter n.

Definition at line 81 of file cmtkGeneralLinearModel.h.

TypedArray::SmartPtr& cmtk::GeneralLinearModel::GetTStat ( const size_t n ) [inline]

Get pointer to n-th parameter t statistics array.

Definition at line 116 of file cmtkGeneralLinearModel.h.

Member Data Documentation

Matrix2D<double> cmtk::GeneralLinearModel::DesignMatrix [private]

Design matrix.

Definition at line 138 of file cmtkGeneralLinearModel.h.

TypedArray::SmartPtr cmtk::GeneralLinearModel::FStat [private]

Computed model F statistics.

Definition at line 171 of file cmtkGeneralLinearModel.h.

std::vector<TypedArray::SmartPtr> cmtk::GeneralLinearModel::Model [private]

Computed model coefficients.

Definition at line 165 of file cmtkGeneralLinearModel.h.

size_t cmtk::GeneralLinearModel::NData [private]

Number of data items.

Definition at line 135 of file cmtkGeneralLinearModel.h.

size_t cmtk::GeneralLinearModel::NParameters [private]

Number of model parameters.

Definition at line 132 of file cmtkGeneralLinearModel.h.

std::vector<TypedArray::SmartPtr> cmtk::GeneralLinearModel::TStat [private]

Computed model t statistics coefficients.

Definition at line 168 of file cmtkGeneralLinearModel.h.

Matrix2D<double>* cmtk::GeneralLinearModel::U [private]

Matrix U of the design matrix SVD.

Definition at line 141 of file cmtkGeneralLinearModel.h.

std::vector< Matrix2D<double>* > cmtk::GeneralLinearModel::Up [private]

Array of partial design matrices.

Definition at line 144 of file cmtkGeneralLinearModel.h.

Matrix2D<double>* cmtk::GeneralLinearModel::V [private]

Matrix V the design matrix SVD.

Definition at line 147 of file cmtkGeneralLinearModel.h.

std::vector<double> cmtk::GeneralLinearModel::VariableMean [private]

Means of variables.

Definition at line 159 of file cmtkGeneralLinearModel.h.

std::vector<double> cmtk::GeneralLinearModel::VariableSD [private]

Standard deviations of variables.

Definition at line 162 of file cmtkGeneralLinearModel.h.

std::vector< Matrix2D<double>* > cmtk::GeneralLinearModel::Vp [private]

SVD of partial design matrices.

Definition at line 150 of file cmtkGeneralLinearModel.h.

std::vector<double>* cmtk::GeneralLinearModel::W [private]

Vector W (workspace).

Definition at line 153 of file cmtkGeneralLinearModel.h.

std::vector< std::vector<double>* > cmtk::GeneralLinearModel::Wp [private]

Workspace vectors for partial regressions.

Definition at line 156 of file cmtkGeneralLinearModel.h.

The documentation for this class was generated from the following files:

libs/Base/cmtkGeneralLinearModel.h
libs/Base/cmtkGeneralLinearModel.cxx

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