VSURF

cranv1.2.1

Variable Selection Using Random Forests. Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classificat

License GPL (>= 2)0 versions1 maintainers5 deps140 weekly dl
robingenuer/VSURF
40
/ 100
Health
safe to use

[email protected] is safe to use (health: 40/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependency Tree

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Dependencies (5)
doParallelforeachparallelrandomForestrpart
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First published · 2025-10-21 16:55:43

Last updated · 2025-10-21T15:10:28+00:00