coroICA

Confounding Robust Independent Component Analysis for Noisy and Grouped Data

CRAN Package

Contains an implementation of a confounding robust independent component analysis (ICA) for noisy and grouped data. The main function coroICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding based on user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website .

  • Version1.0.2
  • R version≥ 3.2.3
  • LicenseAGPL-3
  • Needs compilation?No
  • Last release05/15/2020

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  • Depends1 package
  • Imports2 packages