boot_filter {nestedcv} | R Documentation |
Bootstrap for filter functions
Description
Randomly samples predictors and averages the ranking to give an ensemble measure of predictor variable importance.
Usage
boot_filter(y, x, filterFUN, B = 50, nfilter = NULL, type = "index", ...)
Arguments
y |
Response vector |
x |
Matrix of predictors |
filterFUN |
Filter function, e.g. |
B |
Number of times to bootstrap |
nfilter |
Number of predictors to return |
type |
Type of vector returned. Default "index" returns indices, "full" returns full output. |
... |
Optional arguments passed to the function specified by |
Value
Integer vector of indices of filtered parameters (type = "index"
)
or if type = "full"
a matrix of rankings from each bootstrap is returned.
See Also
[Package nestedcv version 0.7.9 Index]