Developer documentation
Version 3.0.3-105-gd3941f44
MR::Math::Stats::GLM::TestFixedHeteroscedastic Class Reference

#include "math/stats/glm.h"

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

Protected Attributes

const index_array_typeVG
const size_t num_vgs
vector< size_t > inputs_per_vg
vector_type Rnn_sums
vector_type inv_Rnn_sums
vector_type gamma_weights
- Protected Attributes inherited from MR::Math::Stats::GLM::TestFixedHomoscedastic
vector< Hypothesis::Partition > partitions
const matrix_type pinvM
const matrix_type Rm
vector< matrix_typeXtX
vector< default_typeone_over_dof
- Protected Attributes inherited from MR::Math::Stats::GLM::TestBase
const matrix_typey
const matrix_type M
const vector< Hypothesis > & c
std::shared_ptr< Math::Zstatisticstat2z

Detailed Description

A class to compute statistics from heteroscedastic data using a fixed General Linear Model. This class produces a statistic per effect of interest: Aspin-Welsh v for contrast vectors (i.e. Rank(C) == 1), sqrt(Welsh's v^2) for Rank(C) > 1. It should be used in cases where:

  • The same design matrix is to be applied for all image elements being tested;
  • The input data are considered to be heteroscedastic; that is, the variance is not equivalent between all observations, but these can be placed into "variance groups", within which all observations can be considered to have the same variance.

Definition at line 315 of file glm.h.

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