fsSurvRankWang: Random Cox ranking function
In krumsieklab/SurvRank: Rank Based Survival Modelling
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
krumsieklab/SurvRank documentation built on May 20, 2019, 12:19 p.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.