GetCovariance: Calculate Covariance function

Description Usage Arguments Examples

View source: R/GetCovariance.R

Description

This function calculate covariance for combinations Cov(Delta,Delta), Cov(Delta,Pi) and Cov(Pi,Pi).

Usage

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GetCovariance(mx, Delta, Pi, B)

Arguments

mx

Matrix. Modified matrix to have a solution. Usually GetMx$M1 for k>2 and GetMx$M2 in case of k = 2.

Delta

Vector. Each element indicate the probability of recognize an element i.

Pi

Vector. Each element indicate the probability of classify at random an element in category i.

B

Double. Numerical solution to the equation given by the model.

Examples

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GetCovariance(mx = matrix(c(1.5,0.5,0.5,0.5,2.5,0.5,0.5,0.5,3.5),3,3), 
			 Delta = c(0.4,0.5714286,0.666667), 
              Pi = c(0.3333,0.333333,0.33333),B = 4.5)
GetCovariance(mx = matrix(c(60,0,3,2,50,1,3,2,79),3,3), 
			Delta = c( 0.8945724, 0.9522836, 0.8962094), 
              Pi = c( 0.2703707, 0.1939561, 0.5356732), B = 17.94867)

Delta documentation built on March 26, 2020, 7:21 p.m.

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