errorrate {gmmsslm} | R Documentation |
Error rate of the Bayes rule for two-class Gaussian homoscedastic model
Description
The optimal error rate of Bayes rule for two-class Gaussian homoscedastic model
Usage
errorrate(beta0, beta, pi, mu, sigma)
Arguments
beta0 |
An intercept parameter of the discriminant function coefficients. |
beta |
A |
pi |
A g-dimensional vector for the initial values of the mixing proportions. |
mu |
A |
sigma |
A |
Details
The optimal error rate of Bayes rule for two-class Gaussian homoscedastic model can be expressed as
where is a normal probability function with mean
and covariance matrix
.
Value
errval |
A vector of error rate. |
[Package gmmsslm version 1.1.5 Index]