Fitting Second-Order Tensor Data

Documentation for package ‘TensorTest2D’ version 1.1.2

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.