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message: 'To cite package "rtmpinvi" in publications use:'
type: software
license: MIT
title: 'rtmpinvi: Interactive Tabular Matrix Problems via Pseudoinverse Estimation'
version: 2.0.0
doi: 10.32614/CRAN.package.rtmpinvi
abstract: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv'
  package with options extending its functionality to pre- and post-estimation processing
  and streamlined incorporation of prior cell information. 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/rtmpinvi
commit: 16140e6514f008866d3d6809a65e652ba785fe9e
url: https://github.com/econcz/rtmpinvi
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