Package edu.cmu.tetrad.regression


package edu.cmu.tetrad.regression
  • Class
    Description
    Implements a logistic regression algorithm based on a Javascript implementation by John Pezzullo.
     
    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.
    Implements a regression model from correlations--that is, from a correlation matrix, a list of standard deviations, and a list of means.
    Implements a regression model from tabular continuous data.
    Stores the various components of a regression result so they can be passed around together more easily.
    Sundry utilities for regression.