fsSurvRankWang: Random Cox ranking function
In SurvRank: Rank Based Survival Modelling
View source: R/fsSurvRankWang.R
Description
This function ranks the input features according to their mean significance in univariate cox models for a randomly selected subset of the data
Usage
1
fsSurvRankWang(x, y, bb = 400, ns = 80, ...)
Arguments
x
x matrix or data.frame
y
response y as a survival object, generated with Surv()
bb
repeatements of the bootstrap
ns
sample size per bootstrap
...
other arguments, not used now
SurvRank documentation built on May 30, 2017, 2:53 a.m.
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View source: R/fsSurvRankWang.R
Description
This function ranks the input features according to their mean significance in univariate cox models for a randomly selected subset of the data
Usage
1 | fsSurvRankWang(x, y, bb = 400, ns = 80, ...)
|
Arguments
x |
x matrix or data.frame |
y |
response y as a survival object, generated with |
bb |
repeatements of the bootstrap |
ns |
sample size per bootstrap |
... |
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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