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rtmpinv

Tabular Matrix Problems via Pseudoinverse Estimation

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).

Versions across snapshots

VersionRepositoryFileSize
0.3.0 rolling linux/jammy R-4.5 rtmpinv_0.3.0.tar.gz 37.8 KiB
0.3.0 rolling linux/noble R-4.5 rtmpinv_0.3.0.tar.gz 37.7 KiB
0.3.0 rolling source/ R- rtmpinv_0.3.0.tar.gz 9.5 KiB
0.3.0 latest linux/jammy R-4.5 rtmpinv_0.3.0.tar.gz 37.8 KiB
0.3.0 latest linux/noble R-4.5 rtmpinv_0.3.0.tar.gz 37.7 KiB
0.3.0 latest source/ R- rtmpinv_0.3.0.tar.gz 9.5 KiB
0.3.0 2026-04-26 source/ R- rtmpinv_0.3.0.tar.gz 9.5 KiB
0.3.0 2026-04-23 source/ R- rtmpinv_0.3.0.tar.gz 9.5 KiB
0.3.0 2026-04-09 windows/windows R-4.5 rtmpinv_0.3.0.zip 40.3 KiB

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