rank_predictors_RF: Extract top predictors
In courtiol/rangeRinPA: Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations
View source: R/feature_selection_RF.R
rank_predictors_RF R Documentation
Extract top predictors
Description
This function extract the top (fixed-effects) predictors from a RF based on their importance.
Usage
rank_predictors_RF(fit, k = NULL)
Arguments
fit
a model fitted with ranger()
k
the maximum number of predictors to return (default = NULL for no sub-selection)
Value
predictors with their importance
courtiol/rangeRinPA documentation built on Sept. 29, 2022, 9:54 a.m.
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View source: R/feature_selection_RF.R
| rank_predictors_RF | R Documentation |
Extract top predictors
Description
This function extract the top (fixed-effects) predictors from a RF based on their importance.
Usage
rank_predictors_RF(fit, k = NULL)
Arguments
fit |
a model fitted with |
k |
the maximum number of predictors to return (default = NULL for no sub-selection) |
Value
predictors with their importance
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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