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.
Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs. Journal of Machine Learning Research 15(Oct):3297-3331.
| Version: | 1.3 |
| Depends: | glasso, mvtnorm, igraph |
| Imports: | fields |
| Published: | 2022-05-13 |
| Author: | Kean Ming Tan |
| Maintainer: | Kean Ming Tan <keanming at umich.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | hglasso results |
| Reference manual: | hglasso.pdf |
| Package source: | hglasso_1.3.tar.gz |
| Windows binaries: | r-devel: hglasso_1.3.zip, r-release: hglasso_1.3.zip, r-oldrel: hglasso_1.3.zip |
| macOS binaries: | r-release (arm64): hglasso_1.3.tgz, r-oldrel (arm64): hglasso_1.3.tgz, r-release (x86_64): hglasso_1.3.tgz, r-oldrel (x86_64): hglasso_1.3.tgz |
| Old sources: | hglasso archive |
| Reverse imports: | DWLasso |
Please use the canonical form https://CRAN.R-project.org/package=hglasso 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.