outerbase: Outer Product Regression

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>.

Version: 0.1.0
Imports: methods, Rcpp, utils, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2022-06-09
Author: Matthew Plumlee [aut, cre]
Maintainer: Matthew Plumlee <mplumlee at northwestern.edu>
BugReports: https://github.com/MattPlumlee/outerbase/issues
License: MIT + file LICENSE
URL: https://mattplumlee.github.io/outerbase/, https://github.com/MattPlumlee/outerbase/
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: outerbase results


Reference manual: outerbase.pdf
Vignettes: Base walkthrough
Getting started
Learning from data
Speeding up inference


Package source: outerbase_0.1.0.tar.gz
Windows binaries: r-devel: outerbase_0.1.0.zip, r-release: outerbase_0.1.0.zip, r-oldrel: outerbase_0.1.0.zip
macOS binaries: r-release (arm64): outerbase_0.1.0.tgz, r-oldrel (arm64): outerbase_0.1.0.tgz, r-release (x86_64): outerbase_0.1.0.tgz, r-oldrel (x86_64): outerbase_0.1.0.tgz


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