feature_selection: Feature Selection Methods
In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R
feature_selection R Documentation
Feature Selection Methods
Description
Feature Selection Methods
Methods
Two feature selection methods are available:
- FTest
One-way ANOVA F-test for each feature
- catscore
Correlation-adjusted t-scores using sda.ranking
Cutoff Types
Two types of cutoffs are supported:
- top_k/topk
Select top k features
- top_p/topp
Select top p percent of features (0 < p <= 1)
bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.
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| feature_selection | R Documentation |
Feature Selection Methods
Description
Feature Selection Methods
Methods
Two feature selection methods are available:
- FTest
One-way ANOVA F-test for each feature
- catscore
Correlation-adjusted t-scores using sda.ranking
Cutoff Types
Two types of cutoffs are supported:
- top_k/topk
Select top k features
- top_p/topp
Select top p percent of features (0 < p <= 1)
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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