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sEparaTe  

Maximum Likelihood Estimation and Likelihood Ratio Test Functions for Separable Variance-Covariance Structures
View on CRAN: Click here


Download and install sEparaTe package within the R console
Install from CRAN:
install.packages("sEparaTe")

Install from Github:
library("remotes")
install_github("cran/sEparaTe")

Install by package version:
library("remotes")
install_version("sEparaTe", "0.3.2")



Attach the package and use:
library("sEparaTe")
Maintained by
Timothy Schwinghamer
[Scholar Profile | Author Map]
First Published: 2016-06-08
Latest Update: 2023-08-18
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) .
How to cite:
Timothy Schwinghamer (2016). sEparaTe: Maximum Likelihood Estimation and Likelihood Ratio Test Functions for Separable Variance-Covariance Structures. R package version 0.3.2, https://cran.r-project.org/web/packages/sEparaTe. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2016-06-08 00:59), 0.1.1 (2016-06-15 08:33), 0.1.2 (2016-07-24 16:13), 0.2.1 (2016-07-27 23:21), 0.3.0 (2021-06-27 09:40), 0.3.1 (2023-08-14 17:40)
Other packages that cited sEparaTe R package
View sEparaTe citation profile
Other R packages that sEparaTe depends, imports, suggests or enhances
Complete documentation for sEparaTe
Functions, R codes and Examples using the sEparaTe R package
Some associated functions: data2d . data3d . lrt2d_svc . lrt3d_svc . mle2d_svc . mle3d_svc . sEparaTe . 
Some associated R codes: data2d.R . data3d.R . lrt2d_svc.R . lrt3d_svc.R . mle2d_svc.R . mle3d_svc.R . sEparaTe.R .  Full sEparaTe package functions and examples
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