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type: software
license: MIT
title: 'rtmpinv: Tabular Matrix Problems via Pseudoinverse Estimation'
version: 2.0.0
doi: 10.32614/CRAN.package.rtmpinv
abstract: The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage
  estimation method that reformulates structured table-based systems - such as allocation
  problems, transaction matrices, and input-output tables - as structured least-squares
  problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv
  solves systems with row and column constraints, block structure, and optionally
  reduced dimensionality by (1) constructing a canonical constraint form and applying
  a pseudoinverse-based projection, followed by (2) a convex-programming refinement
  stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or
  Elastic Net).
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/rtmpinv
commit: 63ea01f7de002f919d1b87b8e116d8b1aafa91d6
url: https://github.com/econcz/rtmpinv
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