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.

Getting started

Package details

AuthorPratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]
MaintainerPratik Ramprasad <pratik.ramprasad@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the rIsing package in your browser

Any scripts or data that you put into this service are public.

rIsing documentation built on May 2, 2019, 9:26 a.m.