glmnetr

cranv0.6-3

Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models. Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validat

License GPL-3strong copyleft0 versions1 maintainers11 deps209 weekly dl
https://CRAN.R-project.org/package=glmnetr
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safe to use

[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
glmnet (missing_or_extra_char dist 1)

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Dependency Tree

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Dependencies (11)
glmnetsurvivalMatrixxgboostsmoofmlrMBOParamHelpersrandomForestSRCrparttorchaorsf
API access

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First published · 2025-12-16 14:57:09

Last updated · 2025-12-16T13:00:02+00:00