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FlipPA: SignFlip Parallel Analysis for Rank Estimation

Version Stable Dev Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. PkgEval Build Status Coverage

👋 This package provides research code and work is ongoing. If you are interested in using it in your own research, I'd love to hear from you and collaborate! Feel free to write: hong@udel.edu

Please cite the following paper for this technique:

David Hong, Yue Sheng, Edgar Dobriban. "Selecting the number of components in PCA via random signflips", 2022. https://arxiv.org/abs/2012.02985

In BibTeX form:

@Misc{hsd2022stn,
   title  = "Selecting the number of components in PCA via random signflips", 
   author = "David Hong and Yue Sheng and Edgar Dobriban",
   year   = 2022,
   url    = "https://arxiv.org/abs/2012.02985",
}

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Signflip Parallel Analysis for Rank Estimation

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