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sparseGAM
View on CRAN: Click
here
Download and install sparseGAM package within the R console
Install from CRAN:
install.packages("sparseGAM")
Install from Github:
library("remotes")
install_github("cran/sparseGAM") Install by package version:
library("remotes")
install_version("sparseGAM", "1.0") Attach the package and use:
library("sparseGAM")
Maintained by
Ray Bai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-31
Latest Update:
Description:
Fits sparse frequentist GAMs (SF-GAM) for continuous and discrete responses in the exponential dispersion family with the group lasso, group smoothly clipped absolute deviation (SCAD), and group minimax concave (MCP) penalties <doi:10.1007/s11222-013-9424-2>. Also fits sparse Bayesian generalized additive models (SB-GAM) with the spike-and-slab group lasso (SSGL) penalty of Bai et al. (2021) <doi:10.1080/01621459.2020.1765784>. B-spline basis functions are used to model the sparse additive functions. Stand-alone functions for group-regularized negative binomial regression, group-regularized gamma regression, and group-regularized regression in the exponential dispersion family with the SSGL penalty are also provided.
How to cite:
Ray Bai (2021). sparseGAM: Sparse Generalized Additive Models. R package version 1.0, https://cran.r-project.org/web/packages/sparseGAM. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:07), 1.0 (2021-05-31 12:10)
Other packages that cited sparseGAM R package
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Other R packages that sparseGAM depends,
imports, suggests or enhances
Complete documentation for sparseGAM
Functions, R codes and Examples using
the sparseGAM R package
Some associated functions: SBGAM . SFGAM . SSGL . cv.SBGAM . cv.SFGAM . cv.SSGL . cv.grpreg.gamma . cv.grpreg.nb . grpreg.gamma . grpreg.nb .
Some associated R codes: SBGAM.R . SFGAM.R . SSGL.R . cv.SBGAM.R . cv.SFGAM.R . cv.SSGL.R . cv.grpreg.gamma.R . cv.grpreg.nb.R . grpreg.gamma.R . grpreg.nb.R . helper_functions.R . Full sparseGAM package functions and examples
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