Package dk.alexandra.fresco.stat.regression.linear

Class LinearRegression

Object

LinearRegression

All Implemented Interfaces:

Computation<LinearRegression.LinearRegressionResult,ProtocolBuilderNumeric>

public class LinearRegression
extends Object
implements Computation<LinearRegression.LinearRegressionResult,ProtocolBuilderNumeric>

Fit a linear model to the given dataset and output estimates for the coefficients and the regression error variance (s²) which is equal to the regression standard error squared, the coefficient of determination (R²) and the standard errors (squared) for each coefficient estimate. (see LinearRegression.LinearRegressionResult.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	LinearRegression.LinearRegressionResult

Constructor Summary

Constructors

Constructor	Description
LinearRegression(List<ArrayList<DRes<SFixed>>> observations, ArrayList<DRes<SFixed>> y)
LinearRegression(List<ArrayList<DRes<SFixed>>> observations, ArrayList<DRes<SFixed>> y, boolean computeErrors)

Method Summary

Modifier and Type	Method	Description
DRes<LinearRegression.LinearRegressionResult>	buildComputation(ProtocolBuilderNumeric builder)

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

LinearRegression

public LinearRegression(List<ArrayList<DRes<SFixed>>> observations, ArrayList<DRes<SFixed>> y)

LinearRegression

public LinearRegression(List<ArrayList<DRes<SFixed>>> observations, ArrayList<DRes<SFixed>> y, boolean computeErrors)

Method Details

buildComputation

public DRes<LinearRegression.LinearRegressionResult> buildComputation(ProtocolBuilderNumeric builder)

Specified by:

buildComputation in interface Computation<LinearRegression.LinearRegressionResult,ProtocolBuilderNumeric>