logistic regression, or logit regression, is a type of probabilistic statistical classification model. It is also used to predict a binary response from a binary predictor, used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor variables (features).
The following matlab project contains the source code and matlab examples used for logistic regression.
The following free r packages , r projects , r code , and r examples are used for PAC-Bayesian Estimation and Prediction in Sparse Additive Models. This package is intended to perform estimation and prediction in high-dimensional additive models, using a sparse PAC-Bayesian point of view and a MCMC algorithm.