get_wedin_bound_samples

<p>List. The SVD decomposition of the matrix. List with entries 'u', 'd', and 'v'from the svd function.</p>

signal_rank

<p>Integer. Number of vectors selected for resampling procedure.</p>

num_samples

A robust alternative to the aJIVE (angle based Joint and Individual Variation Explained) method (Feng et al 2018: <doi:10.1016/j.jmva.2018.03.008>) for the estimation of joint and individual components in the presence of outliers in multi-source data. It decomposes the multi-source data into joint, individual and residual (noise) contributions. The decomposition is robust to outliers and noise in the data. The method is illustrated in Ponzi et al (2021) <arXiv:2101.09110>.

Erica Ponzi

get_wedin_bound_samples: Gets the wedin bounds

Description

Usage

Arguments