outerbase-package: outerbase

In outerbase: Outer Product Regression

outerbase

Description

High-dimensional regression using outer product models. Research on the methods is currently under investigation and published resources will be posted as they are available. As the method is new, the website is the best resource for understanding the principals. Some of the core ideas are based on Plumlee and coauthors' work on analysis of grid-structured experiments described in Plumlee (2014) doi: 10.1080/01621459.2014.900250 and Plumlee, Erickson, Ankenman, Lawrence (2021) doi: 10.1093/biomet/asaa084. Some additional textbooks for additional information on Gaussian processes are Rasmussen and Williams (2005) doi: 10.7551/mitpress/3206.001.0001 and Gramacy (2022) doi: 10.1201/9780367815493.

Author(s)

Maintainer: Matthew Plumlee [e-mail]

See Also

Useful links:

• https://mattplumlee.github.io/outerbase/

• https://github.com/MattPlumlee/outerbase/

• Report bugs at https://github.com/MattPlumlee/outerbase/issues

outerbase documentation built on June 9, 2022, 5:08 p.m.