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  "Title": "Interactive Tabular Matrix Problems via Pseudoinverse Estimation",
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  "Description": "Provides an interactive wrapper for the 'tmpinv()'\nfunction from the 'rtmpinv' package with options extending its\nfunctionality to pre- and post-estimation processing and\nstreamlined incorporation of prior cell information. The\nTabular Matrix Problems via Pseudoinverse Estimation (TMPinv)\nis a two-stage estimation method that reformulates structured\ntable-based systems - such as allocation problems, transaction\nmatrices, and input-output tables - as structured least-squares\nproblems. Based on the Convex Least Squares Programming (CLSP)\nframework, TMPinv solves systems with row and column\nconstraints, block structure, and optionally reduced\ndimensionality by (1) constructing a canonical constraint form\nand applying a pseudoinverse-based projection, followed by (2)\na convex-programming refinement stage to improve fit,\ncoherence, and regularization (e.g., via Lasso, Ridge, or\nElastic Net).",
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  "Language": "en-US",
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  "Maintainer": "Ilya Bolotov <ilya.bolotov@vse.cz>",
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