rtmpinvi: Interactive Tabular Matrix Problems via Pseudoinverse Estimation

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).

Version:	0.2.0
Depends:	R (≥ 4.2)
Imports:	rtmpinv (≥ 0.3.0)
Suggests:	testthat (≥ 3.0.0)
Published:	2026-03-11
DOI:	10.32614/CRAN.package.rtmpinvi
Author:	Ilya Bolotov [aut, cre]
Maintainer:	Ilya Bolotov <ilya.bolotov at vse.cz>
BugReports:	https://github.com/econcz/rtmpinvi/issues
License:	MIT + file LICENSE
URL:	https://github.com/econcz/rtmpinvi
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	rtmpinvi results

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