#include "math/stats/glm.h"

Inheritance diagram for MR::Math::Stats::GLM::TestFixedHomoscedastic:

Protected Attributes
vector< Hypothesis::Partition >	partitions

const matrix_type	pinvM

const matrix_type	Rm

vector< matrix_type >	XtX

vector< default_type >	one_over_dof

Protected Attributes inherited from MR::Math::Stats::GLM::TestBase
const matrix_type &	y

const matrix_type	M

const vector< Hypothesis > &	c

std::shared_ptr< Math::Zstatistic >	stat2z

Detailed Description

A class to compute statistics from homoscedastic using a fixed General Linear Model. This class produces a statistic per effect of interest: t-statistic for t-tests, sqrt(F-statistic) for F-tests. It should be used in cases where:

the same design matrix is to be applied for all image elements being tested (it is thus able to pre-compute a number of matrices before testing, improving execution speed);
When the data are considered to be homoscedastic; that is, the variance is equivalent across all inputs.

Definition at line 273 of file glm.h.

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

core/math/stats/glm.h

Protected Attributes

Detailed Description