Other packages > Find by keyword >

SLOPE  

Sorted L1 Penalized Estimation
View on CRAN: Click here


Download and install SLOPE package within the R console
Install from CRAN:
install.packages("SLOPE")

Install from Github:
library("remotes")
install_github("cran/SLOPE")

Install by package version:
library("remotes")
install_version("SLOPE", "1.2.0")



Attach the package and use:
library("SLOPE")
Maintained by
Johan Larsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-27
Latest Update: 2025-07-02
Description:
Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. (2015) <doi:10/gfgwzt>). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparsepredictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
How to cite:
Johan Larsson (2015). SLOPE: Sorted L1 Penalized Estimation. R package version 1.2.0, https://cran.r-project.org/web/packages/SLOPE. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 0.1.1 (2015-04-27 20:24), 0.1.3 (2015-11-03 10:54), 0.2.1 (2020-04-16 17:40), 0.3.0 (2020-07-02 09:20), 0.3.2 (2020-07-10 17:20), 0.3.3 (2021-03-17 11:50), 0.4.0 (2021-12-10 12:50), 0.4.1 (2022-03-14 19:00), 0.5.0 (2022-06-10 00:40), 0.5.1 (2024-07-09 17:10), 0.5.2 (2025-02-02 00:00), 1.0.0 (2025-07-01 00:10), 1.0.1 (2025-07-02 10:40), 1.1.0 (2025-10-30 17:10), 1.2.0 (2025-11-11 07:11), 2.0.0 (2026-01-28 07:10)
Other packages that cited SLOPE R package
View SLOPE citation profile
Other R packages that SLOPE depends, imports, suggests or enhances
Complete documentation for SLOPE
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

robustX  
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. ...
Download / Learn more Package Citations See dependency  
IntervalQuestionStat  
Tools to Deal with Interval-Valued Responses in Questionnaires
A user-friendly toolbox for doing the statistical analysis of interval-valued responses in question ...
Download / Learn more Package Citations See dependency  
BetterReg  
Better Statistics for OLS and Binomial Logistic Regression
Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and ...
Download / Learn more Package Citations See dependency  
risksetROC  
Riskset ROC Curve Estimation from Censored Survival Data
Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from cen ...
Download / Learn more Package Citations See dependency  
lmmpar  
Parallel Linear Mixed Model
Embarrassingly Parallel Linear Mixed Model calculations spread across local cores which repeat until ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA