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-4.7-any)TensorTest2D_1.1.1.zip(r-4.6-any)TensorTest2D_1.1.1.zip(r-4.5-any)
TensorTest2D_1.1.1.tgz(r-4.6-any)TensorTest2D_1.1.1.tgz(r-4.5-any)
TensorTest2D_1.1.1.tar.gz(r-4.7-any)TensorTest2D_1.1.1.tar.gz(r-4.6-any)
TensorTest2D_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

statistical-learningtensor

2.70 score 1 stars 5 scripts 301 downloads 3 exports 0 dependencies

Last updated from:0801cf1f74. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE152
source / vignettesOK218
linux-releaseNOTE180
macos-releaseNOTE98
macos-oldrelNOTE101
windows-develNOTE72
windows-releaseNOTE89
windows-oldrelNOTE80
wasm-releaseOK101

Exports:%hp%draw.coeftensorReg2D

Dependencies: