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]

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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:

statistical-learning tensor

2.70 score 1 stars 5 scripts 210 downloads 3 exports 0 dependencies

Last updated 4 months agofrom:0801cf1f74. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	NOTE	Nov 05 2024
R-4.5-linux	NOTE	Nov 05 2024
R-4.4-win	NOTE	Nov 05 2024
R-4.4-mac	NOTE	Nov 05 2024
R-4.3-win	NOTE	Nov 05 2024
R-4.3-mac	NOTE	Nov 05 2024

Exports:%hp%draw.coef tensorReg2D

Dependencies:

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Computation of two matrices: the column of the output matrix is the Kronecker product of two columns of each input matrix.	%b%
Computation of the vector of Hadamard product values of the matrices 'X[,,i]' and 'B'.	%hp%
Computation of the matrix with rows being the linearized matrix products of 'X[,,i]' and 'B'.	%w%
Computation of the matrix with rows being the linearized matrix products of transposed 'X[,,i]' and 'B'.	%wt%
The function performing the Alternating Least Square (ALS) Algorithm.	ALS
The function computing information criterion values and deviances.	Calculate_IC_Dev
The function confirming the input variables fit the requirements of the tensorReg2D function.	Check_tidy_input
Marking Specific Pixels on the Given Image Plot	draw.coef
getGLMCoef: Computing the regression coefficients of generalized linear model.	getGLMCoef
Read the pre-processed MNIST dataset	mnist_mp2c2
Lung-cancer cell lines data in cancer cell line encyclopedia (CCLE) dataset	omics
Plot Effective Image Pixels for A '"tsglm"' Object	plot.tsglm
Predict by Second-order Tensor Generalized Regression	predict.tsglm
Summarizing Second-order Tensor Generalized Regression Fits	summary.tsglm
Fitting Second-order Tensor Generalized Regression	tensorReg2D
The TensorTest2D Package	TensorTest2D
The function computing the covariance matrices of the tensor regression parameters.	VAR_ALS