resamp_res_Param_BayesGLM

Computes the hemodynamic response function (HRF) for task
functional magnetic resonance imaging (fMRI) data. Also includes functions
for constructing a design matrix from task fMRI event timings, and for
comparing multiple design matrices in a general linear model (GLM). A
wrapper function is provided for GLM analysis of CIFTI-format data. Lastly,
there are supporting functions which provide visual summaries of the
HRFs and design matrices.

Amanda Mejia

Hemodynamic Response Function

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

resamp_res_Param_BayesGLM function

<dl><dt>resamp_res</dt>
<dd>For cortex spatial model. The number of vertices to which
each cortical surface should be resampled, or <code>NULL</code> to not resample.
For computational feasibility, a value of <code>10000</code> (default) or lower is
recommended for Bayesian spatial modeling. If <code>Bayes=FALSE</code>,
<code>resamp_res</code> can be set to <code>NULL</code> for full-resolution classical
modeling.</dd></dl>

Arguments

resamp_res — resamp_res_Param_BayesGLM

<dl>

<dt>resamp_res</dt>
<dd>For cortex spatial model. The number of vertices to which
each cortical surface should be resampled, or <code>NULL</code> to not resample.
For computational feasibility, a value of <code>10000</code> (default) or lower is
recommended for Bayesian spatial modeling. If <code>Bayes=FALSE</code>,
<code>resamp_res</code> can be set to <code>NULL</code> for full-resolution classical
modeling.</dd>

</dl>

resamp_res

resamp_res_Param_BayesGLM: resamp_res

Description

Arguments