Package: carsAlgo
Title: Competitive Adaptive Reweighted Sampling (CARS) Algorithm
Version: 0.5.0
Authors@R: c(
  person("Md. Ashraful", "Haque", email = "ashrafulhaque664@gmail.com" , role = c("aut", "cre")),
  person("Avijit", "Ghosh", email = "avijitghosh19892@gmail.com" , role = "aut"),
  person("Sayantani", "Karmakar", email = "sayantanikarmakar20@gmail.com" , role = "aut"),
  person("Harsh", "Sachan", email = "harsh1635095@gmail.com" , role = "aut"),
  person("Shalini", "Kumari", email = "shalinik554@gmail.com" , role = "aut")
  )
Maintainer: Md. Ashraful Haque <ashrafulhaque664@gmail.com>
Description: 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)
        <doi:10.1016/j.aca.2009.06.046>. This algorithm is widely
        applied in near-infrared (NIR), mid-infrared (MIR),
        hyperspectral chemometrics areas, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: ggplot2, pls, rlang, stats, utils
URL: https://github.com/mah-iasri/carsAlgo
BugReports: https://github.com/mah-iasri/carsAlgo/issues
Repository: https://mah-iasri.r-universe.dev
Date/Publication: 2026-04-19 15:21:19 UTC
RemoteUrl: https://github.com/mah-iasri/carsalgo
RemoteRef: HEAD
RemoteSha: 444f48637956d22ca12d858b869dafc4e6727258
NeedsCompilation: no
Packaged: 2026-10-16 06:41:28 UTC; root
Author: Md. Ashraful Haque [aut, cre],
  Avijit Ghosh [aut],
  Sayantani Karmakar [aut],
  Harsh Sachan [aut],
  Shalini Kumari [aut]