Package: tensr
Type: Package
Title: Covariance Inference and Decompositions for Tensor Datasets
Version: 1.0.2
Authors@R: c(person("David", "Gerard", email = "gerard.1787@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9450-5023")),
             person("Peter", "Hoff", email = "peter.hoff@duke.edu", role = "aut"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
BugReports: https://github.com/dcgerard/tensr/issues
URL: https://github.com/dcgerard/tensr
Suggests: knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
Imports: assertthat
NeedsCompilation: no
Packaged: 2025-07-24 12:20:38 UTC; dgerard
Author: David Gerard [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9450-5023>),
  Peter Hoff [aut]
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-24 15:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:23:12 UTC; unix
