cvLM
Cross-Validation for Linear & Ridge Regression Models
Efficient implementations of cross-validation techniques for linear and ridge regression models, leveraging 'C++' code with 'Rcpp', 'RcppParallel', and 'Eigen' libraries. It supports leave-one-out, generalized, and K-fold cross-validation methods, utilizing 'Eigen' matrices for high performance. Methodology references: Hastie, Tibshirani, and Friedman (2009) doi:10.1007/978-0-387-84858-7.
- Version1.0.4
- R versionunknown
- LicenseMIT
- Needs compilation?Yes
- Last release08/01/2024
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Team
Philip Nye
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- Imports2 packages
- Linking To3 packages