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
Repository: https://dcgerard.r-universe.dev
Date/Publication: 2025-07-24 12:19:48 UTC
RemoteUrl: https://github.com/dcgerard/tensr
RemoteRef: HEAD
RemoteSha: 5dec41f93dfedf205c0c3cdc868c16d1a913b8c7
NeedsCompilation: no
Packaged: 2026-06-19 09:52:44 UTC; root
Author: David Gerard [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9450-5023>),
  Peter Hoff [aut]
Maintainer: David Gerard <gerard.1787@gmail.com>