Learn R Programming

sEparaTe (version 0.3.2)

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

Description

Maximum likelihood estimation of the parameters of matrix and 3rd-order tensor normal distributions with unstructured factor variance covariance matrices, two procedures, and for unbiased modified likelihood ratio testing of simple and double separability for variance-covariance structures, two procedures. References: Dutilleul P. (1999) , Manceur AM, Dutilleul P. (2013) , and Manceur AM, Dutilleul P. (2013) .

Copy Link

Version

Install

install.packages('sEparaTe')

Monthly Downloads

250

Version

0.3.2

License

MIT + file LICENSE

Maintainer

Timothy Schwinghamer

Last Published

August 18th, 2023

Functions in sEparaTe (0.3.2)

lrt2d_svc

Unbiased modified likelihood ratio test for simple separability of a variance-covariance matrix.
mle3d_svc

Maximum likelihood estimation of the parameters of a 3rd-order tensor normal distribution
mle2d_svc

Maximum likelihood estimation of the parameters of a matrix normal distribution
lrt3d_svc

An unbiased modified likelihood ratio test for double separability of a variance-covariance structure.
sEparaTe

MLE and LRT functions for separable variance-covariance structures
data2d

Two dimensional data set
data3d

Three dimensional data set