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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