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
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake libgmp3-dev make pkg-config libclang-dev
Repository: https://econcz.r-universe.dev
Date/Publication: 2026-07-26 08:34:05 UTC
RemoteUrl: https://github.com/econcz/rclsp
RemoteRef: HEAD
RemoteSha: f7813e5e20299451b243f85108c7351098440d40
NeedsCompilation: no
Packaged: 2026-10-18 10:58:37 UTC; root
Author: Ilya Bolotov [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1148-7144>)
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>