output_nii

This function saves a data matrix into a NIfTI file.

Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu, B., Guo, Y., & Kang, J. (2024). Bayesian spatial blind source separation via the thresholded gaussian process. Journal of the American Statistical Association, 119(545), 422-433.

Ben Wu

BSPBSS

Bayesian Spatial Blind Source Separation

Ying Guo

Jian Kang

output_nii function

<dl><dt>X</dt>
<dd>Data matrix with n rows (sample) and p colums (pixel).</dd>
<dt>nii</dt>
<dd>a reference NIfTI-class object, representing a image with p voxels.</dd>
<dt>xgrid</dt>
<dd>Cordinate matrix with p rows (voxel) and d columns (dimension).</dd>
<dt>file</dt>
<dd>The name of the file to be saved.</dd>
<dt>std</dt>
<dd>If TRUE, standarize each row of X.</dd>
<dt>thres</dt>
<dd>Quantile to threshold each row of X.</dd></dl>

Arguments

Write a NIfTI file. — output_nii

<dl>

<dt>X</dt>
<dd>Data matrix with n rows (sample) and p colums (pixel).</dd>


<dt>nii</dt>
<dd>a reference NIfTI-class object, representing a image with p voxels.</dd>


<dt>xgrid</dt>
<dd>Cordinate matrix with p rows (voxel) and d columns (dimension).</dd>


<dt>file</dt>
<dd>The name of the file to be saved.</dd>


<dt>std</dt>
<dd>If TRUE, standarize each row of X.</dd>


<dt>thres</dt>
<dd>Quantile to threshold each row of X.</dd>

</dl>

output_nii: Write a NIfTI file.

Description

Usage

Value

Arguments