Ranking_cox: Ranking_cox
In SuRF.vs: Subsampling Ranking Forward Selection (SuRF)
Description
Usage
Arguments
Value
Description
This function is to rank the variables after B subsampings for cox proportional model; It also removes the highly correlated variables from lower level
Usage
1
Ranking_cox(data, model)
Arguments
data
the data object return from the dataclean function(the last column is the outcome)
model
cox proportion model object from sub-sampling procedure (B times)
Value
table: a table shows the ranked variable list with its frequency (descending order)
Beta: coefficients flag (1 or 0) indicating if the variable is selected; intercept is not included;
SuRF.vs documentation built on Jan. 8, 2022, 9:06 a.m.
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Description Usage Arguments Value
Description
This function is to rank the variables after B subsampings for cox proportional model; It also removes the highly correlated variables from lower level
Usage
1 | Ranking_cox(data, model)
|
Arguments
data |
the data object return from the dataclean function(the last column is the outcome) |
model |
cox proportion model object from sub-sampling procedure (B times) |
Value
table: a table shows the ranked variable list with its frequency (descending order)
Beta: coefficients flag (1 or 0) indicating if the variable is selected; intercept is not included;
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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