r2select: Variable Selection with the candidate pool
In RAEN: Random Approximate Elastic Net (RAEN) Variable Selection Method
Description
Usage
Arguments
Value
Description
Perform variable selection with pooled candidates
Usage
1
Arguments
x.tr
the predictor matrix
y.tr
the time and status object for survival
B
times of bootstrap
weight
variable weight
prob
variable selection probability
parallel
Logical TRUE or FALSE. Whether to use multithread computing, which can save consideratable amount of time for high dimensional data. Default is TRUE.
m
the number of variables to be randomly included in the model in this step. Default is 8.
Value
the estimates of variables with B bootstraps, which is a dataframe with B rows and 'ncol(x)' columns.
RAEN documentation built on Feb. 22, 2021, 9:07 a.m.
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Description Usage Arguments Value
Description
Perform variable selection with pooled candidates
Usage
1 |
Arguments
x.tr |
the predictor matrix |
y.tr |
the time and status object for survival |
B |
times of bootstrap |
weight |
variable weight |
prob |
variable selection probability |
parallel |
Logical TRUE or FALSE. Whether to use multithread computing, which can save consideratable amount of time for high dimensional data. Default is TRUE. |
m |
the number of variables to be randomly included in the model in this step. Default is 8. |
Value
the estimates of variables with B bootstraps, which is a dataframe with B rows and 'ncol(x)' columns.
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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