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SOIL  

Sparsity Oriented Importance Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SOIL", "1.1")



Attach the package and use:
library("SOIL")
Maintained by
Yi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-07
Latest Update: 2017-09-20
Description:
Sparsity Oriented Importance Learning (SOIL) provides a new variable importance measure for high dimensional linear regression and logistic regression from a sparse penalization perspective, by taking into account the variable selection uncertainty via the use of a sensible model weighting. The package is an implementation of Ye, C., Yang, Y., and Yang, Y. (2017+).
How to cite:
Yi Yang (2016). SOIL: Sparsity Oriented Importance Learning. R package version 1.1, https://cran.r-project.org/web/packages/SOIL. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0 (2016-07-07 23:52)
Other packages that cited SOIL R package
View SOIL citation profile
Other R packages that SOIL depends, imports, suggests or enhances
Complete documentation for SOIL
Functions, R codes and Examples using the SOIL R package
Some associated functions: SOIL . 
Some associated R codes: SOIL.R . binomialfit.R . binomialfit_lasso.R . gaussianfit.R . gaussianfit_lasso.R . logitARM.R . logitIC.R . lsARM.R . lsIC.R . tools.R .  Full SOIL package functions and examples
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