SOIL: Sparsity Oriented Importance Learning

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Sparsity Oriented Importance Learning (SOIL) provides an objective and informative profile of variable importances for high dimensional regression and classification models.

Author
Chenglong Ye <yexxx323@umn.edu>, Yi Yang <yi.yang6@mcgill.ca>, Yuhong Yang <yyang@stat.umn.edu>
Date of publication
2016-07-07 23:52:14
Maintainer
Yi Yang <yi.yang6@mcgill.ca>
License
GPL-2
Version
1.0
URLs

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Man pages

SOIL
Sparsity Oriented Importance Learning (SOIL)

Files in this package

SOIL
SOIL/NAMESPACE
SOIL/R
SOIL/R/logitIC.R
SOIL/R/lsIC.R
SOIL/R/lsARM.R
SOIL/R/logitARM.R
SOIL/R/tools.R
SOIL/R/binomialfit.R
SOIL/R/gaussianfit.R
SOIL/R/SOIL.R
SOIL/MD5
SOIL/DESCRIPTION
SOIL/ChangeLog
SOIL/man
SOIL/man/SOIL.Rd