DESCRIPTION

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: 7.2.1
BugReports: http://github.com/dcgerard/tensr/issues
URL: http://github.com/dcgerard/tensr
Suggests: knitr,
    rmarkdown,
    covr,
    testthat
VignetteBuilder: knitr
Imports: assertthat