orsf_vs {aorsf} | R Documentation |
Variable selection
Description
Variable selection
Usage
orsf_vs(object, n_predictor_min = 3, verbose_progress = NULL)
Arguments
object |
(ObliqueForest) a trained oblique random forest object (see orsf). |
n_predictor_min |
(integer) the minimum number of predictors allowed |
verbose_progress |
(logical) not implemented yet. Should progress be printed to the console? |
Details
tree_seeds
should be specified in object
so that each successive run
of orsf
will be evaluated in the same out-of-bag samples as the initial
run.
Value
a data.table with four columns:
-
n_predictors: the number of predictors used
-
stat_value: the out-of-bag statistic
-
predictors_included: the names of the predictors included
-
predictor_dropped: the predictor selected to be dropped
Examples
object <- orsf(formula = time + status ~ .,
data = pbc_orsf,
n_tree = 25,
importance = 'anova')
orsf_vs(object, n_predictor_min = 15)
[Package aorsf version 0.1.3 Index]