Package: tensr
Type: Package
Title: Covariance Inference and Decompositions for Tensor Datasets
Version: 1.0.0
Date: 2016-01-25
Authors@R: c(person("David", "Gerard", email = "dcgerard@uchicago.edu", role = c("aut", "cre")),
            person("Peter", "Hoff", email = "pdhoff@uw.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.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: stats
NeedsCompilation: no
Packaged: 2016-02-03 16:02:08 UTC; david
Author: David Gerard [aut, cre],
  Peter Hoff [aut]
Maintainer: David Gerard <dcgerard@uchicago.edu>
Repository: CRAN
Date/Publication: 2016-02-03 22:04:38
