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To cite spikeslab in publications use:

Ishwaran H, Rao J, Kogalur U (2022). spikeslab : Prediction and Variable Selection Using Spike and Slab Regression. R package version 1.1.6, https://cran.r-project.org/package=spikeslab.

Ishwaran H, Rao J (2005). “Spike and slab variable selection: frequentist and Bayesian strategies.” Ann. Statist., 33(2), 730–773. https://arXiv.org/abs/math/0505633v1.

Ishwaran H, Rao J (2014). “Geometry and properties of gneralized ridge regression in high dimensions.” Contemporary Mathematics, 62, 82–93.

Corresponding BibTeX entries:

  @Manual{,
    title = {spikeslab : Prediction and Variable Selection Using Spike
      and Slab Regression},
    author = {H. Ishwaran and J.S. Rao and U.B. Kogalur},
    publisher = {manual},
    year = {2022},
    note = {R package version 1.1.6},
    url = {https://cran.r-project.org/package=spikeslab},
    pdf =
      {https://cran.r-project.org/web/packages/spikeslab/spikeslab.pdf},
  }
  @Article{,
    title = {Spike and slab variable selection: frequentist and
      Bayesian strategies},
    author = {H. Ishwaran and J.S. Rao},
    journal = {Ann. Statist.},
    year = {2005},
    volume = {33},
    number = {2},
    pages = {730--773},
    url = {https://arXiv.org/abs/math/0505633v1},
    pdf = {https://arxiv.org/pdf/math.ST/0505633},
  }
  @Article{,
    title = {Geometry and properties of gneralized ridge regression in
      high dimensions},
    author = {H. Ishwaran and J.S. Rao},
    journal = {Contemporary Mathematics},
    year = {2014},
    volume = {62},
    pages = {82--93},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.