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.
| Version: | 1.0.0 |
| Imports: | stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2016-02-03 |
| Author: | David Gerard [aut, cre], Peter Hoff [aut] |
| Maintainer: | David Gerard <dcgerard at uchicago.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | tensr results |
| Reference manual: | tensr.pdf |
| Vignettes: |
Equivariant Estimation Likelihood Inference |
| Package source: | tensr_1.0.0.tar.gz |
| Windows binaries: | r-devel: tensr_1.0.0.zip, r-release: tensr_1.0.0.zip, r-oldrel: tensr_1.0.0.zip |
| OS X Snow Leopard binaries: | r-release: tensr_1.0.0.tgz, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: tensr_1.0.0.tgz |