GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → jolars → SLOPE

jolars / SLOPE

Licence: GPL-3.0 license
Sorted L1 Penalized Estimation

Programming Languages

r
7636 projects
C++
36643 projects - #6 most used programming language

Labels

sparse-regressionslopegeneralized-linear-models

Projects that are alternatives of or similar to SLOPE

SparseRegression.jl
Statistical Models with Regularization in Pure Julia
Stars: ✭ 37 (+131.25%)
Mutual labels:  sparse-regression
L0Learn
Efficient Algorithms for L0 Regularized Learning
Stars: ✭ 74 (+362.5%)
Mutual labels:  sparse-regression
sparsereg
a collection of modern sparse (regularized) linear regression algorithms.
Stars: ✭ 55 (+243.75%)
Mutual labels:  sparse-regression
Pico8Platformer
A platformer sample written for Pico-8, includes slopes and jump buffering
Stars: ✭ 38 (+137.5%)
Mutual labels:  slope
fasterRaster
Faster raster processing using GRASS GIS
Stars: ✭ 18 (+12.5%)
Mutual labels:  slope
Statsmodels
Statsmodels: statistical modeling and econometrics in Python
Stars: ✭ 6,935 (+43243.75%)
Mutual labels:  generalized-linear-models
BPRMeth
Modelling DNA methylation profiles
Stars: ✭ 18 (+12.5%)
Mutual labels:  generalized-linear-models
batchglm
Fit generalized linear models in python.
Stars: ✭ 22 (+37.5%)
Mutual labels:  generalized-linear-models
walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
Stars: ✭ 38 (+137.5%)
Mutual labels:  generalized-linear-models

SLOPE

R build status Coverage status CRAN status Lifecycle: experimental

Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm. There is support for ordinary least-squares regression, binomial regression, multinomial regression, and poisson regression, as well as both dense and sparse predictor matrices. In addition, the package features predictor screening rules that enable efficient solutions to high-dimensional problems.

Installation

You can install the current stable release from CRAN with

install.packages("SLOPE")

or the development version from GitHub with

# install.packages("remotes")
remotes::install_github("jolars/SLOPE")

Versioning

SLOPE uses semantic versioning.

Code of conduct

Please note that the ‘SLOPE’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].