example_sim123

A simple dataset for demonstration purposes.

datasets

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

example_sim123 function

A list containing 3 data frames:<dl>
 <dt>smat</dt>
<dd>A 1089 x 3 numeric matrix of the true source signals. Each column is an 33 x 33 image.</dd> <dt>mmat</dt>
<dd>A 3 x 50 numeric mixing matrix of the true time series. Each row is a time series of corresponding column in <code>smat</code>.</dd> <dt>xmat</dt>
<dd>A 1089 x 50 numeric matrix of the simulated data. Each column is the simulated mixed signal at a time point.</dd>
</dl>

Format

Example sim123 Dataset — example_sim123

A list containing 3 data frames:<dl>
 <dt>smat</dt>
<dd>A 1089 x 3 numeric matrix of the true source signals. Each column is an 33 x 33 image.</dd>

 <dt>mmat</dt>
<dd>A 3 x 50 numeric mixing matrix of the true time series. Each row is a time series of corresponding column in <code>smat</code>.</dd>

 <dt>xmat</dt>
<dd>A 1089 x 50 numeric matrix of the simulated data. Each column is the simulated mixed signal at a time point.</dd>


</dl>

example_sim123: Example sim123 Dataset

Description

Usage

Arguments

Format

Examples