fsSurvRankGlmnet: L1 (lasso) ranking function
In SurvRank: Rank Based Survival Modelling
View source: R/fsSurvRankGlmnet.R
Description
This function ranks the input features with the lasso algorithm in glmnet.
Usage
1
fsSurvRankGlmnet(x, y, alp = 1, ...)
Arguments
x
x matrix or data.frame
y
response y as a survival object, generated with Surv()
alp
alpha value in glmnet (elasticnet mixing parameter)
...
other arguments, not used now
SurvRank documentation built on May 30, 2017, 2:53 a.m.
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View source: R/fsSurvRankGlmnet.R
Description
This function ranks the input features with the lasso algorithm in glmnet.
Usage
1 | fsSurvRankGlmnet(x, y, alp = 1, ...)
|
Arguments
x |
x matrix or data.frame |
y |
response y as a survival object, generated with |
alp |
alpha value in |
... |
other arguments, not used now |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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