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Tensor Regression for Incomplete Observations (TRIO) with Application to Longitudinal Studies

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TRIO

Tensor Regression for Incomplete Observations (TRIO) with Application to Longitudinal Studies

Main Functions:
TRIO.m: This is a function to conduct TRIO regression.
TRIO_corr.m: This is an internal function to conduct TRIO with variance/covariance matrix.
test.m: To test and show examples of the TRIO functions.

Functions used in simulation:
randcorr.m, ten_mat.m: Helping functions.
simulation.m: Codes for the simulation study.

Additional folders:
tensor_toolbox-v3.4: tensor toolbox for Matlab (necessary for TRIO)
SLEP-master: Sparse Learning with Efficient Projections toolbox for Matlab (necessary for TRIO)
DISCOM: DISCOM method
CP regression: TensorReg toolbox for CP regression

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