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-4.4-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'))

Peer review:

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:

statistical-learningtensor

3 exports 1 stars 0.85 score 0 dependencies 5 scripts 369 downloads

Last updated 2 months agofrom:0801cf1f74. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winNOTEAug 24 2024
R-4.3-macNOTEAug 24 2024

Exports:%hp%draw.coeftensorReg2D

Dependencies: