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Arias-López JA, Cadarso-Suárez C, Aguiar-Fernández P. Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Computers. 2022; 11(6):91.

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Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection

This repository contains all the code used in our article:

Arias-López, J. A., Cadarso-Suárez, C., & Aguiar-Fernández, P. (2022). Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Computers, 11(6):91. https://doi.org/10.3390/computers11060091

The analysis was performed entirely in R, with scripts organized in two ways for your convenience:

  • A complete MASTERSCRIPT that runs the entire analysis
  • Individual task-specific scripts that combined equal the MASTERSCRIPT

Feel free to use this code to replicate our results or adapt it for your own research. Long live open science!

Brain Triangulations

N10 N25 N50

Simultaneous Confidence Corridor Estimation

Lower Interval Mean Function Upper Interval

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Arias-López JA, Cadarso-Suárez C, Aguiar-Fernández P. Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Computers. 2022; 11(6):91.

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