Package: tensorregress 5.1

tensorregress: Supervised Tensor Decomposition with Side Information

Implement the alternating algorithm for supervised tensor decomposition with interactive side information. Details can be found in the publication Hu, Jiaxin, Chanwoo Lee, and Miaoyan Wang. "Generalized Tensor Decomposition with features on multiple modes." Journal of Computational and Graphical Statistics, Vol. 31, No. 1, 204-218, 2022 <doi:10.1080/10618600.2021.1978471>.

Authors:Jiaxin Hu [aut, cre, cph], Chen Zhang [aut, cph], Chanwoo Lee [aut, cph], Miaoyan Wang [aut, cph]

tensorregress_5.1.tar.gz
tensorregress_5.1.zip(r-4.7-any)tensorregress_5.1.zip(r-4.6-any)tensorregress_5.1.zip(r-4.5-any)
tensorregress_5.1.tgz(r-4.6-any)tensorregress_5.1.tgz(r-4.5-any)
tensorregress_5.1.tar.gz(r-4.7-any)tensorregress_5.1.tar.gz(r-4.6-any)
tensorregress_5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tensorregress/json (API)

# Install 'tensorregress' in R:
install.packages('tensorregress', repos = c('https://jhu267.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 235 downloads 12 exports 2 dependencies

Last updated from:c132e41d07. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE154
source / vignettesOK202
linux-releaseNOTE115
macos-releaseNOTE100
macos-oldrelNOTE88
windows-develNOTE67
windows-releaseNOTE59
windows-oldrelNOTE73
wasm-releaseOK104

Exports:as.tensorfoldhosvdkronecker_listrand_tensorsele_ranksim_datatensor_regressttlttmtuckerunfold

Dependencies:MASSpracma