r-linselect

condav1.1.6

Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.

License GPL-3.0-or-later7 versions1 maintainers0 deps309 weekly dl
54
/ 100
Health
safe to use

[email protected] is safe to use (health: 54/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2021-05-24 20:46:03.489000+00:00

Last updated · 2025-12-10 11:16:49.091000+00:00

r-linselect — Health Score 54/100 | DepScope