# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "cvLM" in publications use:' type: software license: MIT title: 'cvLM: Cross-Validation for Linear and Ridge Regression Models' version: 2.0.0 doi: 10.32614/CRAN.package.cvLM abstract: 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. authors: - family-names: Nye given-names: Philip email: phipnye@proton.me repository: https://cran.r-universe.dev repository-code: https://github.com/phipnye/CV-LM commit: 254763182dff55486443a74fa3f9c2f3d6c4d258 url: https://github.com/phipnye/CV-LM date-released: '2026-02-01' contact: - family-names: Nye given-names: Philip email: phipnye@proton.me