R: Maximum Likelihood Estimation and Likelihood Ratio Test Functions for Separable Variance-Covariance Structures

# Maximum Likelihood Estimation and Likelihood Ratio Test Functions for Separable Variance-Covariance Structures

## Documentation for package ‘sEparaTe’ version 0.3.2

- DESCRIPTION file

## Help Pages

data2d | Two dimensional data set
data3d | Three dimensional data set
lrt2d_svc | Unbiased modified likelihood ratio test for simple separability of a variance-covariance matrix.
lrt3d_svc | An unbiased modified likelihood ratio test for double separability of a variance-covariance structure.
mle2d_svc | Maximum likelihood estimation of the parameters of a matrix normal distribution
mle3d_svc | Maximum likelihood estimation of the parameters of a 3rd-order tensor normal distribution
sEparaTe | MLE and LRT functions for separable variance-covariance structures