tensorregress: Generalized Tensor Regression with Covariates on Multiple Modes

Implement the generalized tensor regression in Xu, Hu and Wang (2019) <arXiv:1910.09499>. Solve tensor-response regression given covariates on multiple modes with alternating updating algorithm.

Version: 1.0
Depends: rTensor
Imports: pracma, speedglm, MASS
Published: 2019-11-04
Author: Zhuoyan Xu [aut, cre, cph], Jiaxin Hu [aut, cph], Miaoyan Wang [aut, cph]
Maintainer: Zhuoyan Xu <zxu444 at stat.wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: tensorregress results


Reference manual: tensorregress.pdf
Package source: tensorregress_1.0.tar.gz
Windows binaries: r-devel: tensorregress_1.0.zip, r-devel-gcc8: tensorregress_1.0.zip, r-release: tensorregress_1.0.zip, r-oldrel: tensorregress_1.0.zip
OS X binaries: r-release: tensorregress_1.0.tgz, r-oldrel: tensorregress_1.0.tgz


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