MR::Math::Stats::GLM::TestFixedHomoscedastic Class Reference

`#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 |

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.

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

- core/math/stats/glm.h