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 218 downloads 12 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winNOTEOct 13 2024
R-4.5-linuxNOTEOct 13 2024
R-4.4-winNOTEOct 13 2024
R-4.4-macNOTEOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:as.tensorfoldhosvdkronecker_listrand_tensorsele_ranksim_datatensor_regressttlttmtuckerunfold

Dependencies:MASSpracma