An implementation of algorithms for estimation of the graphical lasso regularization parameter described in Pedro Cisneros-Velarde, Alexander Petersen and Sang-Yun Oh (2020) <http://proceedings.mlr.press/v108/cisneros20a.html>.
Version: | 0.1.0 |
Imports: | glasso, Rcpp |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown |
Published: | 2021-05-25 |
Author: | Chau Tran [aut, cre], Sang-Yun Oh [aut], Pedro Cisneros-Velarde [aut], Alexander Petersen [aut] |
Maintainer: | Chau Tran <chautran at ucsb.edu> |
BugReports: | https://github.com/dddlab/robust-selection/issues |
License: | GPL-2 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | robsel results |
Reference manual: | robsel.pdf |
Vignettes: |
Using RobSel |
Package source: | robsel_0.1.0.tar.gz |
Windows binaries: | r-devel: robsel_0.1.0.zip, r-release: robsel_0.1.0.zip, r-oldrel: robsel_0.1.0.zip |
macOS binaries: | r-release (arm64): robsel_0.1.0.tgz, r-oldrel (arm64): robsel_0.1.0.tgz, r-release (x86_64): robsel_0.1.0.tgz, r-oldrel (x86_64): robsel_0.1.0.tgz |
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