Package: sparseGAM 1.0
Ray Bai
sparseGAM: Sparse Generalized Additive Models
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.
Authors:
sparseGAM_1.0.tar.gz
sparseGAM_1.0.tar.gz(r-4.5-noble)sparseGAM_1.0.tar.gz(r-4.4-noble)
sparseGAM_1.0.tgz(r-4.4-emscripten)sparseGAM_1.0.tgz(r-4.3-emscripten)
sparseGAM.pdf |sparseGAM.html✨
sparseGAM/json (API)
| # Install 'sparseGAM' in R: |
| install.packages('sparseGAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:4c206a0724. Checks:OK: 1 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | ERROR | Oct 31 2024 |
Exports:cv.grpreg.gammacv.grpreg.nbcv.SBGAMcv.SFGAMcv.SSGLgrpreg.gammagrpreg.nbSBGAMSFGAMSSGL
