Package edu.cmu.tetrad.regression

package edu.cmu.tetrad.regression

Class	Description
LogisticRegression	Implements a logistic regression algorithm based on a Javascript implementation by John Pezzullo.
LogisticRegression.Result	The result of a logistic regression.
Regression	Implements a multiple regression model, allowing data to be specified either as a tabular data set or as a covariance matrix plus list of means.
RegressionCovariance	Implements a regression model from correlations--that is, from a correlation matrix, a list of standard deviations, and a list of means.
RegressionDataset	Implements a regression model from tabular continuous data.
RegressionResult	Stores the various components of a regression result so they can be passed around together more easily.
RegressionUtils	Sundry utilities for regression.