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Basis Expansions for Regression Modeling
View on CRAN: Click here


Download and install bases package within the R console
Install from CRAN:
install.packages("bases")

Install from Github:
library("remotes")
install_github("cran/bases")

Install by package version:
library("remotes")
install_version("bases", "0.1.2")



Attach the package and use:
library("bases")
Maintained by
Cory McCartan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-29
Latest Update: 2025-05-29
Description:
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.
How to cite:
Cory McCartan (2025). bases: Basis Expansions for Regression Modeling. R package version 0.1.2, https://cran.r-project.org/web/packages/bases. Accessed 11 Mar. 2026.
Previous versions and publish date:
0.1.2 (2025-05-29 21:40)
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Full bases package functions and examples
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