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sEparaTe
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]
[Scholar Profile | Author Map]
All associated links for this package
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 03 Dec. 2024.
Previous versions and publish date:
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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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