R: Fitting Second-Order Tensor Data

# Fitting Second-Order Tensor Data

## Documentation for package ‘TensorTest2D’ version 1.1.2

- DESCRIPTION file
- Package README

## Help Pages

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