testKron_A | R Documentation |
Testing the Kronecker product structure of a tensor time series with a specified set of mode indices.
testKron_A(ten, AA, r, alpha = c(0.01, 0.05), q = 0.05, r.exact = FALSE)
ten |
An array representing an order-(K+1) tensor which is an order-K tensor time series with mode-1 being the time mode. |
AA |
A vector with elements at least 1 and at most K, representing the tensor modes to test. |
r |
A vector representing the rank for 'ten'. |
alpha |
A vector representing the desired significance levels. Default is c(0.01, 0.05). |
q |
A number between 0 and 1, representing the quantile for the decision statistic. Default is 0.05. |
r.exact |
Logical. Perform the test only using 'r' if TRUE, otherwise using all divisor combinations of the last mode rank of the reshaped data. Default is FALSE. |
A list containing the following: level: a matrix with each entry reporting an example test size, corresponding to its rank used (row) and level of alpha (column); the alpha is reported in order of parameter 'alpha'. decision: a matrix with each entry reporting the decision statistic aggregated by quantile of parameter 'q', corresponding to its rank used (row) and level of alpha (column); the alpha is reported in order of parameter 'alpha'. rank: a matrix with K columns and each row represents a different rank used, corresponding to the rows in the 'level' and 'decision' matrices.
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