Fitting Second-Order Tensor Data


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Documentation for package ‘TensorTest2D’ version 1.1.2

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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.