Package: rIsing 0.1.0

rIsing: High-Dimensional Ising Model Selection

Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.

Authors:Pratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]

rIsing_0.1.0.tar.gz
rIsing_0.1.0.zip(r-4.5)rIsing_0.1.0.zip(r-4.4)rIsing_0.1.0.zip(r-4.3)
rIsing_0.1.0.tgz(r-4.5-x86_64)rIsing_0.1.0.tgz(r-4.5-arm64)rIsing_0.1.0.tgz(r-4.4-x86_64)rIsing_0.1.0.tgz(r-4.4-arm64)rIsing_0.1.0.tgz(r-4.3-x86_64)rIsing_0.1.0.tgz(r-4.3-arm64)
rIsing_0.1.0.tar.gz(r-4.5-noble)rIsing_0.1.0.tar.gz(r-4.4-noble)
rIsing_0.1.0.tgz(r-4.4-emscripten)rIsing_0.1.0.tgz(r-4.3-emscripten)
rIsing.pdf |rIsing.html✨
rIsing/json (API)

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

Bug tracker:https://github.com/pratik-r/rising/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.70 score 3 scripts 190 downloads 2 exports 3 dependencies

Last updated 2 years agofrom:0acb734e6a. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-win-x86_64OKMar 05 2025
R-4.5-mac-x86_64OKMar 05 2025
R-4.5-mac-aarch64OKMar 05 2025
R-4.5-linux-x86_64OKMar 05 2025
R-4.4-win-x86_64OKMar 05 2025
R-4.4-mac-x86_64OKMar 05 2025
R-4.4-mac-aarch64OKMar 05 2025
R-4.4-linux-x86_64OKMar 05 2025
R-4.3-win-x86_64OKMar 05 2025
R-4.3-mac-x86_64OKMar 05 2025
R-4.3-mac-aarch64OKMar 05 2025

Exports:isinglogreg

Dependencies:data.tableRcppRcppEigen