Package: rclsp
Type: Package
Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed
        Problems
Version: 2.0.1
Authors@R: 
    c(
        person("Ilya", "Bolotov", email = "ilya.bolotov@vse.cz",
               role = c("aut", "cre"),
               comment = c(ORCID = "0000-0003-1148-7144"))
    )
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.3)
Imports: Matrix, stats, methods, CVXR (>= 1.8.1)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/econcz/rclsp
BugReports: https://github.com/econcz/rclsp/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-06-11 12:00:13 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1148-7144>)
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-06-11 14:00:07 UTC
Built: R 4.5.2; ; 2026-06-11 15:29:41 UTC; unix
