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cff-version: 1.2.0
message: 'To cite package "rclsp" in publications use:'
type: software
license: MIT
title: 'rclsp: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems'
version: 2.0.0
doi: 10.32614/CRAN.package.rclsp
abstract: Convex Least Squares Programming (CLSP) is a two-step estimator for solving
  underdetermined, ill-posed, or structurally constrained least-squares problems.
  It combines pseudoinverse-based estimation with convex-programming correction methods
  inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint
  enforcement, and interpretability. The package also provides numerical stability
  analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE),
  Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
authors:
- family-names: Bolotov
  given-names: Ilya
  email: ilya.bolotov@vse.cz
  orcid: https://orcid.org/0000-0003-1148-7144
repository: https://econcz.r-universe.dev
repository-code: https://github.com/econcz/rclsp
commit: eeee5313800074a2fbf223e20ed031682db96618
url: https://github.com/econcz/rclsp
date-released: '2026-06-07'
contact:
- family-names: Bolotov
  given-names: Ilya
  email: ilya.bolotov@vse.cz
  orcid: https://orcid.org/0000-0003-1148-7144