rlppinv: Linear Programming via Regularized Least Squares
The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
| Version: | 0.3.0 |
| Depends: | R (≥ 4.2) |
| Imports: | rclsp (≥ 0.5.0) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-03-10 |
| DOI: | 10.32614/CRAN.package.rlppinv |
| Author: | Ilya Bolotov 
[aut, cre] |
| Maintainer: | Ilya Bolotov <ilya.bolotov at vse.cz> |
| BugReports: | https://github.com/econcz/rlppinv/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/econcz/rlppinv |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | rlppinv results |
Documentation:
| Reference manual: | rlppinv.html , rlppinv.pdf |
Downloads:
| Package source: | rlppinv_0.3.0.tar.gz |
| Windows binaries: | r-devel: rlppinv_0.3.0.zip, r-release: rlppinv_0.3.0.zip, r-oldrel: rlppinv_0.3.0.zip |
| macOS binaries: | r-release (arm64): rlppinv_0.3.0.tgz, r-oldrel (arm64): rlppinv_0.3.0.tgz, r-release (x86_64): rlppinv_0.3.0.tgz, r-oldrel (x86_64): rlppinv_0.3.0.tgz |
| Old sources: | rlppinv archive |
Linking:
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