GS: Gradient Synchronization for Multivariate Functional Data

This package provides implementation of gradient synchronization for multivariate functional data, proposed by
Chen, Y., Lin, S.-C., Zhou, Y., Carmichael, O., Müller, H.-G. and Wang, J.-L. (2023+). Gradient Synchronization for Multivariate Functional Data, With Application to Brain Connectivity. Journal of the Royal Statistical Society, Series B (Statistical Methodology). (accepted).

Installation of the current development version

You can install the development version of the package in R using:

devtools::install_github("yqgchen/GS")

Load Package and Data

Once installed you can load the package with:

library(GS)

Citation

If using this package, one must cite this package properly.

For papers following APA format, we recommend the following citation:
Chen, Y., Müller, H.-G., and Wang, J.-L. (2023). GS: Gradient synchronization for multivariate functional data. R package version 0.1.0. https://github.com/yqgchen/GS

A BibTeX entry for LaTeX users is

@Manual{,
  title = {GS: Gradient synchronization for multivariate functional data},
  author = {Chen, Yaqing and M\"uller, Hans-Georg and Wang, Jane-Ling},
  year = {2023},
  note = {R package version 0.1.0},
  url = {https://github.com/yqgchen/GS},
}

Acknowledgment

The development of this package has been supported by NSF grant DMS-2311035 (YC).