rclsp: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
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.
| Version: | 2.0.1 |
| Depends: | R (≥ 4.3) |
| Imports: | Matrix, stats, methods, CVXR (≥ 1.8.1) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-06-11 |
| DOI: | 10.32614/CRAN.package.rclsp |
| Author: | Ilya Bolotov 
[aut, cre] |
| Maintainer: | Ilya Bolotov <ilya.bolotov at vse.cz> |
| BugReports: | https://github.com/econcz/rclsp/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/econcz/rclsp |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | rclsp results |
Documentation:
| Reference manual: | rclsp.html , rclsp.pdf |
Downloads:
| Package source: | rclsp_2.0.1.tar.gz |
| Windows binaries: | r-devel: rclsp_2.0.1.zip, r-release: rclsp_2.0.1.zip, r-oldrel: rclsp_2.0.1.zip |
| macOS binaries: | r-release (arm64): rclsp_2.0.1.tgz, r-oldrel (arm64): rclsp_2.0.1.tgz, r-release (x86_64): rclsp_2.0.1.tgz, r-oldrel (x86_64): rclsp_2.0.1.tgz |
| Old sources: | rclsp archive |
Reverse dependencies:
| Reverse imports: | rlppinv, rtmpinv |
Linking:
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