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-4.7)rIsing_0.1.0.zip(r-4.6)rIsing_0.1.0.zip(r-4.5)
rIsing_0.1.0.tgz(r-4.6-x86_64)rIsing_0.1.0.tgz(r-4.6-arm64)rIsing_0.1.0.tgz(r-4.5-x86_64)rIsing_0.1.0.tgz(r-4.5-arm64)
rIsing_0.1.0.tar.gz(r-4.7-arm64)rIsing_0.1.0.tar.gz(r-4.7-x86_64)rIsing_0.1.0.tar.gz(r-4.6-arm64)rIsing_0.1.0.tar.gz(r-4.6-x86_64)
rIsing_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 174 downloads 2 exports 3 dependencies

Last updated from:0acb734e6a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK119
source / vignettesOK177
linux-release-arm64OK134
linux-release-x86_64OK159
macos-release-arm64OK134
macos-release-x86_64OK464
macos-oldrel-arm64OK98
macos-oldrel-x86_64OK314
windows-develOK379
windows-releaseOK93
windows-oldrelOK425
wasm-releaseOK121

Exports:isinglogreg

Dependencies:data.tableRcppRcppEigen