bases: Basis Expansions for Regression Modeling

Provides various basis expansions for flexible regression modeling, including random Fourier features (Rahimi & Recht, 2007) <https://proceedings.neurips.cc/paper_files/paper/2007/file/013a006f03dbc5392effeb8f18fda755-Paper.pdf>, exact kernel / Gaussian process feature maps, Bayesian Additive Regression Trees (BART) (Chipman et al., 2010) <doi:10.1214/09-AOAS285> prior features, and a helpful interface for n-way interactions. The provided functions may be used within any modeling formula, allowing the use of kernel methods and other basis expansions in modeling functions that do not otherwise support them. Along with the basis expansions, a number of kernel functions are also provided, which support kernel arithmetic to form new kernels. Basic ridge regression functionality is included as well.

Version:	0.1.2
Depends:	R (≥ 3.6.0)
Imports:	rlang, stats
LinkingTo:	cpp11
Suggests:	recipes, tibble, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2025-05-29
DOI:	10.32614/CRAN.package.bases
Author:	Cory McCartan [aut, cre, cph]
Maintainer:	Cory McCartan <mccartan at psu.edu>
BugReports:	https://github.com/CoryMcCartan/bases/issues
License:	MIT + file LICENSE
URL:	https://corymccartan.com/bases/, https://github.com/CoryMcCartan/bases/
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	bases results

Documentation:

Reference manual:	bases.pdf
Vignettes:	Valid Prediction (source, R code)

Downloads:

Package source:	bases_0.1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: bases_0.1.2.zip, r-oldrel: bases_0.1.2.zip
macOS binaries:	r-release (arm64): bases_0.1.2.tgz, r-oldrel (arm64): bases_0.1.2.tgz, r-release (x86_64): bases_0.1.2.tgz, r-oldrel (x86_64): bases_0.1.2.tgz

Linking:

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