| Name : R-tensr
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:01:34
|
| Group : Development/Libraries/Other
| Source RPM : R-tensr-1.0.1-lp153.2.13.src.rpm
|
| Size : 0.34 MB
| |
| Packager : (none)
| |
| Summary : Covariance Inference and Decompositions for Tensor Datasets
|
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
