Efficient procedures for Sorted L1 Penalized Estimation (SLOPE). The sorted L1 norm is useful for statistical estimation and testing, particularly for variable selection in the linear model.
| Version: | 0.1.3 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr, testthat, isotone, R.matlab |
| Published: | 2015-11-03 |
| Author: | Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su, Emmanuel Candes, Evan Patterson |
| Maintainer: | Evan Patterson <epatters at stanford.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | SLOPE citation info |
| CRAN checks: | SLOPE results |
| Reference manual: | SLOPE.pdf |
| Vignettes: |
Using the SLOPE package |
| Package source: | SLOPE_0.1.3.tar.gz |
| Windows binaries: | r-devel: SLOPE_0.1.3.zip, r-release: SLOPE_0.1.3.zip, r-oldrel: SLOPE_0.1.3.zip |
| OS X binaries: | r-release: SLOPE_0.1.3.tgz, r-oldrel: SLOPE_0.1.3.tgz |
| Old sources: | SLOPE archive |
| Reverse imports: | grpSLOPE |
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