Smoothing {MixfMRI}

Generate datasets with smoothing for MixfMRI simulations

Description

Generate datasets with smoothing for MixfMRI simulations

Usage

  gcv.smooth2d(y, interval)

Arguments

y

a set of p-values in 2d phantom

interval

an interval for optimize function.

Details

The function is used to smooth for Dr. Maitra's 2d phantom simulation. The smoothing method is based on Garcia (2010), CSDA.

Value

Return a list containing two elements im.smooth and par.val.

Author(s)

Ranjan Maitra.

References

Chen, W.-C. and Maitra, R. (2021) “A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies”, arXiv:2102.03639.