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
Config/pak/sysreqs: cmake make
Repository: https://phipnye.r-universe.dev
Date/Publication: 2026-02-02 05:37:27 UTC
RemoteUrl: https://github.com/phipnye/cv-lm
RemoteRef: HEAD
RemoteSha: 8d7b5dbb8e3e58a7df2a120efa0443a6ef367cb7
NeedsCompilation: yes
Packaged: 2026-10-19 06:55:37 UTC; root
Author: Philip Nye [aut, cre]
Maintainer: Philip Nye <phipnye@proton.me>