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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "decorrelate" in publications use:'
type: software
license: Artistic-2.0
title: 'decorrelate: Decorrelation Projection Scalable to High Dimensional Data'
version: 0.1.6.4
doi: 10.32614/CRAN.package.decorrelate
abstract: Data whitening is a widely used preprocessing step to remove correlation
  structure since statistical models often assume independence. Here we use a probabilistic
  model of the observed data to apply a whitening transformation. This Gaussian Inverse
  Wishart Empirical Bayes model substantially reduces computational complexity, and
  regularizes the eigen-values of the sample covariance matrix to improve out-of-sample
  performance.
authors:
- family-names: Hoffman
  given-names: Gabriel
  email: gabriel.hoffman@mssm.edu
  orcid: https://orcid.org/0000-0002-0957-0224
repository: https://gabrielhoffman.r-universe.dev
repository-code: https://github.com/GabrielHoffman/decorrelate
commit: e84c0eb5b06f0f45a565f5ebcc1ad31ea57a75b8
url: https://gabrielhoffman.github.io/decorrelate/
date-released: '2025-06-18'
contact:
- family-names: Hoffman
  given-names: Gabriel
  email: gabriel.hoffman@mssm.edu
  orcid: https://orcid.org/0000-0002-0957-0224