data3d: Three dimensional data set

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

Three dimensional data set

Description

An i.i.d. random sample of size 13 from a 2 x 3 x 2 tensor normal distribution, for a small numerical example of the use of the functions mle3d_svc and lrt3d_svc from the sEparaTe package

Usage

data3d

Format

A frame (excluding the headings) with 156 lines of data and 5 variables:

K

an integer ranging from 1 to 13, the size of an i.i.d. random sample from a 2 x 3 x 2 tensor matrix normal distribution

Id3

an integer ranging from 1 to 2, the number of rows of the 3rd-order tensor normal distribution

Id4

an integer ranging from 1 to 3, the number of columns of the 3rd-order tensor normal distribution

Id5

an integer ranging from 1 to 2, the number of edges of the 3rd-order tensor normal distribution

value3d

the sample data for the observed variable

sEparaTe documentation built on Aug. 18, 2023, 9:07 a.m.