SLOPE: Sorted L1 Penalized Estimation (SLOPE)

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>
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:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: SLOPE_0.1.3.tgz
OS X Mavericks binaries: r-oldrel: SLOPE_0.1.3.tgz
Old sources: SLOPE archive

Reverse dependencies:

Reverse depends: geneSLOPE
Reverse imports: grpSLOPE


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