CRAN/E | tensr

tensr

Covariance Inference and Decompositions for Tensor Datasets

Installation

About

A collection of functions for Kronecker structured covariance estimation and testing under the array normal model. For estimation, maximum likelihood and Bayesian equivariant estimation procedures are implemented. For testing, a likelihood ratio testing procedure is available. This package also contains additional functions for manipulating and decomposing tensor data sets. This work was partially supported by NSF grant DMS-1505136. Details of the methods are described in Gerard and Hoff (2015) doi:10.1016/j.jmva.2015.01.020 and Gerard and Hoff (2016) doi:10.1016/j.laa.2016.04.033.

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Version 1.0.1
Published 2018-08-15 2079 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

David Gerard

gerard.1787@gmail.com

Authors

David Gerard

aut / cre

Peter Hoff

aut

Material

README
Reference manual
Package source

Vignettes

Equivariant Estimation
Likelihood Inference

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tensr archive

Imports

assertthat

Suggests

knitr
rmarkdown
covr
testthat

Reverse Imports

catch
hwep
TensorClustering
TULIP