hoevd: Higher Order Eigen Value Decomposition of A Symmetric Tensor
In junruidi/cdHOTS: Construct and Decomposes Higher Order Tensorian Statistics

Description Usage Arguments Details Value Examples

View source: R/hoevd.R

Decomposes a higher order symmetric tensors (e.g. higher order centered and standardized tensorian moments) using HOEVD. It is a special case of HOSVD.

1	hoevd(x, rank = p)

`x`	the symmetric tensorian stored as an array
`rank`	rank of the decomposition

x = Z * [u,..u]

A list with eliments

`u`	Estimated eigen vectors
`z`	Estimated core tensor

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data(dat)
moment_center_sd_3 = tensor_moment(Y = dat, center = TRUE, standardize = TRUE, p = 3)$moment
decomp_3 = hoevd(x = moment_center_sd_3, rank = 32)