start_resids: Sample covariance matrices for each mode.

Description Usage Arguments Details Value Author(s) See Also

View source: R/starting_values.R

Description

Scaled Cholesky square roots of the sample covariance matrix and its inverse.

Usage

1
start_resids(Y, mode_rep = NULL)

Arguments

Y

An array of numeric data.

mode_rep

A vector of integers. The modes specified by mode_rep will be given an identity matrix instead of a sample-based matrix.

Details

This function will take the sample covariance matrix of the ith matricization of an input array Y and will return (1) its lower-triangular Cholesky square root scaled down to have determinant 1 and (2) the inverse of its lower-triangular Cholesky square root scaled down to have determinant 1. This function is primarily used to obtain starting values for the Gibbs sampler implemented in equi_mcmc.

Value

Sig A list where Sig[[i]] is the lower-triangular Cholesky square root of the sample covariance matrix of the ith mode, scaled down to have determinant 1.

Sig_inv A list where Sig_inv[[i]] is the inverse of the lower-triangular Cholesky square root of the sample covariance matrix of the ith mode, scaled down to have determinant 1.

If mode_rep is not NULL, then the list elements in Sig and Sig_inv specified in mode_rep will be the identity matrix instead of sample-based matrices.

Author(s)

David Gerard.

See Also

equi_mcmc.


tensr documentation built on May 19, 2017, 7:25 a.m.

Search within the tensr package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.