Package: cvLM 1.0.4

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>.

Authors:Philip Nye [aut, cre]

cvLM_1.0.4.tar.gz
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cvLM.pdf |cvLM.html✨
cvLM/json (API)

# Install 'cvLM' in R:
install.packages('cvLM', repos = c('https://phipnye.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.70 score 1 scripts 181 downloads 3 exports 3 dependencies

Last updated 8 months agofrom:b372e0a408. Checks:5 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-win-x86_64OKMar 23 2025
R-4.5-mac-x86_64OKMar 23 2025
R-4.5-mac-aarch64OKMar 23 2025
R-4.5-linux-x86_64OKMar 23 2025
R-4.4-win-x86_64NOTEMar 23 2025
R-4.4-mac-x86_64NOTEMar 23 2025
R-4.4-mac-aarch64NOTEMar 23 2025
R-4.4-linux-x86_64NOTEMar 23 2025
R-4.3-win-x86_64NOTEMar 23 2025
R-4.3-mac-x86_64NOTEMar 23 2025
R-4.3-mac-aarch64NOTEMar 23 2025

Exports:cvLMgrid.searchreg.table

Dependencies:RcppRcppEigenRcppParallel