# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "carsAlgo" in publications use:' type: software license: MIT title: 'carsAlgo: Competitive Adaptive Reweighted Sampling (CARS) Algorithm' version: 0.5.0 doi: 10.32614/CRAN.package.carsAlgo abstract: Implements Competitive Adaptive Reweighted Sampling (CARS) algorithm for variable selection from high-dimensional dataset using Partial Least Squares (PLS) regression models. CARS algorithm iteratively applies the Monte Carlo sub-sampling and exponential variable elimination techniques to identify/select the most informative variables/features subjected to minimal cross-validated RMSE score. The implementation of CARS algorithm is inspired from the work of Li et al. (2009) . This algorithm is widely applied in near-infrared (NIR), mid-infrared (MIR), hyperspectral chemometrics areas, etc. authors: - family-names: Haque given-names: Md. Ashraful email: ashrafulhaque664@gmail.com - family-names: Ghosh given-names: Avijit email: avijitghosh19892@gmail.com - family-names: Karmakar given-names: Sayantani email: sayantanikarmakar20@gmail.com - family-names: Sachan given-names: Harsh email: harsh1635095@gmail.com - family-names: Kumari given-names: Shalini email: shalinik554@gmail.com repository: https://mah-iasri.r-universe.dev repository-code: https://github.com/mah-iasri/carsAlgo commit: 444f48637956d22ca12d858b869dafc4e6727258 url: https://github.com/mah-iasri/carsAlgo date-released: '2026-04-19' contact: - family-names: Haque given-names: Md. Ashraful email: ashrafulhaque664@gmail.com