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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", "0.5.2")



Attach the package and use:
library("SLOPE")
Maintained by
Johan Larsson
[Scholar Profile | Author Map]
First Published: 2015-04-27
Latest Update: 2022-06-09
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 0.5.2, https://cran.r-project.org/web/packages/SLOPE. Accessed 20 Apr. 2025.
Previous versions and publish date:
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)
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
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