Fit glm with quadratic penalty in matlab

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 NameSize
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