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-4.5)tensorregress_5.1.zip(r-4.4)tensorregress_5.1.zip(r-4.3)
tensorregress_5.1.tgz(r-4.4-any)tensorregress_5.1.tgz(r-4.3-any)
tensorregress_5.1.tar.gz(r-4.5-noble)tensorregress_5.1.tar.gz(r-4.4-noble)
tensorregress_5.1.tgz(r-4.4-emscripten)tensorregress_5.1.tgz(r-4.3-emscripten)
tensorregress.pdf |tensorregress.html
tensorregress/json (API)

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

Peer review:

Datasets:

On CRAN:

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

1.52 score 1 packages 11 scripts 250 downloads 12 exports 2 dependencies

Last updated 1 years agofrom:c132e41d07. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winNOTENov 12 2024
R-4.5-linuxNOTENov 12 2024
R-4.4-winNOTENov 12 2024
R-4.4-macNOTENov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:as.tensorfoldhosvdkronecker_listrand_tensorsele_ranksim_datatensor_regressttlttmtuckerunfold

Dependencies:MASSpracma