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rtmpinvi  

Interactive Tabular Matrix Problems via Pseudoinverse Estimation
View on CRAN: Click here


Download and install rtmpinvi package within the R console
Install from CRAN:
install.packages("rtmpinvi")

Install from Github:
library("remotes")
install_github("cran/rtmpinvi")

Install by package version:
library("remotes")
install_version("rtmpinvi", "0.1.0")



Attach the package and use:
library("rtmpinvi")
Maintained by
Ilya Bolotov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-25
Latest Update: 2026-02-25
Description:
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).
How to cite:
Ilya Bolotov (2026). rtmpinvi: Interactive Tabular Matrix Problems via Pseudoinverse Estimation. R package version 0.1.0, https://cran.r-project.org/web/packages/rtmpinvi. Accessed 11 Mar. 2026.
Previous versions and publish date:
0.1.0 (2026-02-25 11:30)
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Complete documentation for rtmpinvi
Functions, R codes and Examples using the rtmpinvi R package
Full rtmpinvi package functions and examples
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