The following Matlab project contains the source code and Matlab examples used for fit glm with quadratic penalty.
Generalized linear models (GLMs) are a natural extension of linear regression models in which eta = X*w is related to y by a fixed nonlinearity and a possibly non-Gaussian noise source.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

## Project Files:

File Name | Size |
---|---|

crossValidate.m | 4828 |

cvglmfitqp.m | 3241 |

evalGlmLikelihood.m | 1795 |

evalMaxGlmLikelihood.m | 512 |

evidenceglmfitqp.m | 13258 |

getcvfolds.m | 862 |

glmfitqp.m | 7485 |

license.txt | 1316 |

qfsmooth.m | 848 |

qfsmooth1D.m | 311 |

setdefaults.m | 508 |

TestGlmQp.m | 3948 |