TLasso: Performs Tensor Lasso
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model

This function performs Tensor Lasso under different specifications.

1	TLasso(t, iter = 1, lambda = NULL, identy = "F", norm = FALSE, search = FALSE)

`t`	List of Sample Tensors
`iter`	Number of iterations
`lambda`	A vector to use as the penalties for each precision matrix.
`norm`	A boolena indicating if the norm of the precision matrices should remain constant through the iterations.
`search`	A boolean indicating if a penalty search based on likelihood should be performed.
`identi`	A method to obtain identifiability. 'F' for Frobenius norm normalization. 'C' for correlation normalization. '1' for dividing by the first entry of the precision matrix.