Package: GEModelR 0.1.0

GEModelR: TABLO Models in R with Legacy and Sparse Solvers

Interpret GEMPACK-style TABLO models in R. The package keeps the original in-memory solver and adds an opt-in integer-indexed sparse execution engine for low-memory simulations.

Authors:David Zenz [aut, cre, cph], Maros Ivanic [aut]

GEModelR_0.1.0.tar.gz
GEModelR_0.1.0.zip(r-4.7-x86_64)GEModelR_0.1.0.zip(r-4.7-arm64)GEModelR_0.1.0.zip(r-4.6-x86_64)GEModelR_0.1.0.zip(r-4.6-arm64)GEModelR_0.1.0.zip(r-4.5-x86_64)
GEModelR_0.1.0.tgz(r-4.6-x86_64)GEModelR_0.1.0.tgz(r-4.6-arm64)GEModelR_0.1.0.tgz(r-4.5-x86_64)GEModelR_0.1.0.tgz(r-4.5-arm64)
GEModelR_0.1.0.tar.gz(r-4.7-arm64)GEModelR_0.1.0.tar.gz(r-4.7-x86_64)GEModelR_0.1.0.tar.gz(r-4.6-arm64)GEModelR_0.1.0.tar.gz(r-4.6-x86_64)
GEModelR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GEModelR/json (API)

# Install 'GEModelR' in R:

install.packages('GEModelR', repos = c('https://davidzenz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/davidzenz/gemodelr/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

3.54 score 10 scripts 1 exports 4 dependencies

Last updated from:9b257ccf9b (on main). Checks:10 OK, 5 ERROR. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	404
linux-devel-x86_64	OK	446
source / vignettes	OK	382
linux-release-arm64	OK	486
linux-release-x86_64	OK	618
macos-release-arm64	OK	405
macos-release-x86_64	OK	875
macos-oldrel-arm64	OK	365
macos-oldrel-x86_64	OK	559
windows-devel-arm64	ERROR	696
windows-devel-x86_64	ERROR	588
windows-release-arm64	ERROR	681
windows-release-x86_64	ERROR	800
windows-oldrel-x86_64	ERROR	524
wasm-release	OK	271