Package: cvLM
Type: Package
Title: Cross-Validation for Linear and Ridge Regression Models
Version: 2.0.0
Date: 2026-02-01
Authors@R: c(person("Philip", "Nye", email = "phipnye@proton.me", role = c("aut", "cre")))
Description: Implements cross-validation methods for linear and ridge regression models. The package provides grid-based selection of the ridge penalty parameter using Singular Value Decomposition (SVD) and supports K-fold cross-validation, Leave-One-Out Cross-Validation (LOOCV), and Generalized Cross-Validation (GCV). Computations are implemented in C++ via 'RcppArmadillo' with optional parallelization using 'RcppParallel'. The methods are suitable for high-dimensional settings where the number of predictors exceeds the number of observations.
License: MIT + file LICENSE
Imports: stats, Rcpp (>= 1.0.13), RcppParallel (>= 5.1.8)
Suggests: boot, RhpcBLASctl, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make, C++17
URL: https://github.com/phipnye/CV-LM
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-02-02 05:39:57 UTC; philip
Author: Philip Nye [aut, cre]
Maintainer: Philip Nye <phipnye@proton.me>
Repository: CRAN
Date/Publication: 2026-02-03 09:20:23 UTC
Built: R 4.4.1; x86_64-apple-darwin20; 2026-02-03 13:28:47 UTC; unix
Archs: cvLM.so.dSYM
