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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>.

copied from cf-staging / r-tensr

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.0.1
  • linux-64 v1.0.1
  • osx-64 v1.0.1
  • win-64 v1.0.1

conda install

To install this package run one of the following:
conda install conda-forge::r-tensr
conda install conda-forge/label/cf201901::r-tensr
conda install conda-forge/label/cf202003::r-tensr
conda install conda-forge/label/gcc7::r-tensr

Description


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