Package: rtmpinv 2.0.0

Ilya Bolotov

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).

Authors:Ilya Bolotov [aut, cre]

rtmpinv_2.0.0.tar.gz
rtmpinv_2.0.0.zip(r-4.7-any)rtmpinv_2.0.0.zip(r-4.6-any)rtmpinv_2.0.0.zip(r-4.5-any)
rtmpinv_2.0.0.tgz(r-4.6-any)rtmpinv_2.0.0.tgz(r-4.5-any)
rtmpinv_2.0.0.tar.gz(r-4.7-any)rtmpinv_2.0.0.tar.gz(r-4.6-any)
rtmpinv_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rtmpinv/json (API)

# Install 'rtmpinv' in R:
install.packages('rtmpinv', repos = c('https://econcz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/econcz/rtmpinv/issues

On CRAN:

Conda:

convex-optimizationgeneralized-inverseleast-squaresregularizationtabular-matrix-problems

3.95 score 1 stars 1 packages 244 downloads 1 exports 16 dependencies

Last updated from:5913c4d546. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK117
source / vignettesOK172
linux-releaseOK118
macos-releaseOK96
macos-oldrelOK106
windows-develOK83
windows-releaseOK76
windows-oldrelOK84
wasm-releaseOK111

Exports:tmpinv

Dependencies:backportscheckmateclarabelcliCVXRgmphighslatticeMatrixosqprclspRcppRcppEigenS7scsslam