To cite 'sparseEigen' in publications, please use:

K. Benidis, Y. Sun, P. Babu, and D. P. Palomar, "Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation," IEEE Transactions on Signal Processing, vol. 64, no. 23, pp. 6211-6226, Dec. 2016.

K. Benidis and D. P. Palomar (2017). sparseEigen: Computation of Sparse Eigenvectors of a Matrix. R package version 0.1.0. https://CRAN.R-project.org/package=sparseEigen

Corresponding BibTeX entries:

  @Article{,
    title = {Orthogonal Sparse PCA and Covariance Estimation via
      Procrustes Reformulation},
    author = {K. Benidis and Y. Sun and P. Babu and D. P. Palomar},
    journal = {IEEE Transactions on Signal Processing},
    volume = {64},
    number = {23},
    pages = {6211--6226},
    year = {2016},
    url = {http://www.danielppalomar.com/publications.html},
  }

  @Manual{,
    title = {sparseEigen: Computation of Sparse Eigenvectors of a
      Matrix},
    author = {K. Benidis and D. P. Palomar},
    note = {R package version 0.1.0},
    year = {2017},
    url = {https://CRAN.R-project.org/package=sparseEigen},
  }