Computes the covariance-matrix maximum likelihood estimators for each class and returns a list.

Source: R/helper-cov.r

For a sample matrix, x, we compute the MLE for the covariance matrix for each class given in the vector, y.

cov_list(x, y)

Arguments

x

data matrix with n observations and p feature vectors
y

class labels for observations (rows) in x

Value

list of the sample covariance matrices of size \(p \times p\) for each class given in y.