theta2W

Convert angle vector into orthodox matrix

Provides an implementation of the Sparse ICA method in Wang et al. (2024) <doi:10.1080/01621459.2024.2370593> for estimating sparse independent source components of cortical surface functional MRI data, by addressing a non-smooth, non-convex optimization problem through the relax-and-split framework. This method effectively balances statistical independence and sparsity while maintaining computational efficiency.

Zihang Wang

SparseICA

Sparse Independent Component Analysis

Irina Gaynanova

Aleksandr Aravkin

Benjamin Risk

theta2W function

<dl><dt>theta</dt>
<dd>A vector of angles theta.</dd></dl>

Arguments

Convert angle vector into orthodox matrix — theta2W

<dl>

<dt>theta</dt>
<dd>A vector of angles theta.</dd>

</dl>

theta2W: Convert angle vector into orthodox matrix

Description

Usage

Value

Arguments