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com.kutsyy.lvspod
Class OrdinalSpatialBayesian

java.lang.Object
  |
  +--com.kutsyy.lvspod.OrdinalSpatialAbstract
        |
        +--com.kutsyy.lvspod.OrdinalSpatialAbstractSample
              |
              +--com.kutsyy.lvspod.OrdinalSpatialBayesianAbstract
                    |
                    +--com.kutsyy.lvspod.OrdinalSpatialBayesian
All Implemented Interfaces:
Function, MvFunction
Direct Known Subclasses:
OrdinalSpatialBayesianMnA
public class OrdinalSpatialBayesian
extends OrdinalSpatialBayesianAbstract

Title: Description: Copyright: Copyright (c) 2001 Company:

Author:
Vadim Kutsyy

Fields inherited from class com.kutsyy.lvspod.OrdinalSpatialBayesianAbstract
alpha1, alpha2, cx, expX, inteructive, m, phiSim, Plot, rndBeta, run, thetaSim, TTrueX, TTrueXPLE, w, xcxC, xSim, xxC
 
Fields inherited from class com.kutsyy.lvspod.OrdinalSpatialAbstract
beta, betaKeep, Brent, EPS, gradient, itotal, K, keepConstant, L, lambda, Loc, M, max_over, Mnbrak, N, NeighborDefinition, p, phi, PHI_LIMIT, phiKeep, phiVar, Powell, rnd, Sigma, sqrtSigma, theta, THETA_BETWEEN, THETA_LIMIT, thetaKeep, thetal, thetaL, thetau, thetaU, TimeSeries, TrueBeta, TruePhi, TrueTheta, TrueX, W, x, xi, xLoc, xx, Y, yLoc, Z
 
Constructor Summary
  OrdinalSpatialBayesian()
          Constructor for the OrdinalSpatialBayesian object
protected OrdinalSpatialBayesian(int[] y, double phi, double[] theta, SpatialPoint[] loc, double[] beta, double[][] z, int[][] neighborDefinition)
          Constructor for the OrdinalSpatialBayesian object
protected OrdinalSpatialBayesian(int[] y, int[] xLocation, int[] yLocation, double[][] z)
          Constructor for the OrdinalSpatialBayesian object
 
Method Summary
(package private)  double simPhi(double[] parm1, double parm2)
          Description of the Method
protected  int unifDiscrete(int m)
          Description of the Method
 
Methods inherited from class com.kutsyy.lvspod.OrdinalSpatialBayesianAbstract
f, lL, lL, phiGivenX, piTheta, thetaGivenX
 
Methods inherited from class com.kutsyy.lvspod.OrdinalSpatialAbstractSample
ntrc, ntrc, ntrc, simPseudoX
 
Methods inherited from class com.kutsyy.lvspod.OrdinalSpatialAbstract
beta, createEigenvalues, createLoc, createSigma, createW, define, estimate, estimate, estimate, estimate, estimate, estimate, f, g, grad, initializeL, ll, lL, lL, ll, makeThetaLU, test, testBeta, testPhi, testPhiBeta, updateY
 
Methods inherited from class java.lang.Object
, clone, equals, finalize, getClass, hashCode, notify, notifyAll, registerNatives, toString, wait, wait, wait
 

Constructor Detail

OrdinalSpatialBayesian

public OrdinalSpatialBayesian()
Constructor for the OrdinalSpatialBayesian object

OrdinalSpatialBayesian

protected OrdinalSpatialBayesian(int[] y,
                                 int[] xLocation,
                                 int[] yLocation,
                                 double[][] z)
Constructor for the OrdinalSpatialBayesian object
Parameters:
y - Description of Parameter
xLocation - Description of Parameter
yLocation - Description of Parameter
z - Description of Parameter

OrdinalSpatialBayesian

protected OrdinalSpatialBayesian(int[] y,
                                 double phi,
                                 double[] theta,
                                 SpatialPoint[] loc,
                                 double[] beta,
                                 double[][] z,
                                 int[][] neighborDefinition)
Constructor for the OrdinalSpatialBayesian object
Parameters:
y - Description of Parameter
phi - Description of Parameter
theta - Description of Parameter
loc - Description of Parameter
beta - Description of Parameter
z - Description of Parameter
neighborDefinition - Description of Parameter
Method Detail

simPhi

double simPhi(double[] parm1,
              double parm2)
Description of the Method
Parameters:
parm1 - Description of Parameter
parm2 - Description of Parameter
Returns:
Description of the Returned Value

unifDiscrete

protected int unifDiscrete(int m)
Description of the Method
Parameters:
m - Description of Parameter
Returns:
Description of the Returned Value
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