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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.