Package: tensr
Type: Package
Title: Covariance Inference and Decompositions for Tensor Datasets
Version: 1.0.1
Date: 2018-08-13
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
LazyData: TRUE
RoxygenNote: 6.0.1
BugReports: http://github.com/dcgerard/tensr/issues
Suggests: knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
Imports: assertthat
NeedsCompilation: no
Packaged: 2018-08-15 14:49:02 UTC; david
Author: David Gerard [aut, cre] (<https://orcid.org/0000-0001-9450-5023>),
  Peter Hoff [aut]
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-15 18:00:08 UTC
