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
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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'))

Peer review:

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

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

On CRAN:

2.70 score 3 scripts 159 downloads 2 exports 3 dependencies

Last updated 2 years agofrom:0acb734e6a. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:isinglogreg

Dependencies:data.tableRcppRcppEigen