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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-post-staging / r-tensr
Type Size Name Uploaded Downloads Labels
conda 519.1 kB | noarch/r-tensr-1.0.2-r44hc72bb7e_0.conda  1 month and 4 days ago 81 main
conda 514.9 kB | noarch/r-tensr-1.0.2-r43hc72bb7e_0.conda  1 month and 4 days ago 75 main

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