Package: TensorTest2D 1.1.1

TensorTest2D: Fitting Second-Order Tensor Data

An implementation of fitting generalized linear models on second-order tensor type data. The functions within this package mainly focus on parameter estimation, including parameter coefficients and standard deviation.

Authors:Mark Chen [aut, cre], Sheng-Mao Chang [aut], Wenbin Lu [aut], Jung-Ying Tzeng [aut], Ping-Yang Chen [aut]

TensorTest2D_1.1.1.tar.gz
TensorTest2D_1.1.1.zip(r-4.5)TensorTest2D_1.1.1.zip(r-4.4)TensorTest2D_1.1.1.zip(r-4.3)
TensorTest2D_1.1.1.tgz(r-4.5-any)TensorTest2D_1.1.1.tgz(r-4.4-any)TensorTest2D_1.1.1.tgz(r-4.3-any)
TensorTest2D_1.1.1.tar.gz(r-4.5-noble)TensorTest2D_1.1.1.tar.gz(r-4.4-noble)
TensorTest2D_1.1.1.tgz(r-4.4-emscripten)TensorTest2D_1.1.1.tgz(r-4.3-emscripten)
TensorTest2D.pdf |TensorTest2D.html✨
TensorTest2D/json (API)

# Install 'TensorTest2D' in R:
install.packages('TensorTest2D', repos = c('https://yuting1214.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yuting1214/tensortest2d/issues

Datasets:
  • mnist_mp2c2 - Read the pre-processed MNIST dataset
  • omics - Lung-cancer cell lines data in cancer cell line encyclopedia (CCLE) dataset

On CRAN:

Conda-Forge:

statistical-learningtensor

2.70 score 1 stars 5 scripts 281 downloads 3 exports 0 dependencies

Last updated 7 months agofrom:0801cf1f74. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winNOTEMar 05 2025
R-4.5-macNOTEMar 05 2025
R-4.5-linuxNOTEMar 05 2025
R-4.4-winNOTEMar 05 2025
R-4.4-macNOTEMar 05 2025
R-4.4-linuxNOTEMar 05 2025
R-4.3-winNOTEMar 05 2025
R-4.3-macNOTEMar 05 2025

Exports:%hp%draw.coeftensorReg2D

Dependencies: