The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Fits Bayesian regularized varying coefficient models with the Nonparametric Varying Coefficient Spike-and-Slab Lasso (NVC-SSL) introduced by Bai et al. (2023) <doi:10.48550/arXiv.1907.06477>. Functions to fit frequentist penalized varying coefficients are also provided, with the option of employing the group lasso penalty of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, the group minimax concave penalty (MCP) of Breheny and Huang <doi:10.1007/s11222-013-9424-2>, or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>.
| Version: | 2.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | stats, splines, dae, plyr, Matrix, GIGrvg, MASS, MCMCpack, grpreg, mvtnorm |
| Published: | 2023-09-17 |
| DOI: | 10.32614/CRAN.package.NVCSSL |
| Author: | Ray Bai |
| Maintainer: | Ray Bai <raybaistat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | NVCSSL results |
| Reference manual: | NVCSSL.pdf |
| Package source: | NVCSSL_2.0.tar.gz |
| Windows binaries: | r-devel: NVCSSL_2.0.zip, r-release: NVCSSL_2.0.zip, r-oldrel: NVCSSL_2.0.zip |
| macOS binaries: | r-release (arm64): NVCSSL_2.0.tgz, r-oldrel (arm64): NVCSSL_2.0.tgz, r-release (x86_64): NVCSSL_2.0.tgz, r-oldrel (x86_64): NVCSSL_2.0.tgz |
| Old sources: | NVCSSL archive |
Please use the canonical form https://CRAN.R-project.org/package=NVCSSL to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.