rIsing: High-Dimensional Ising Model Selection
Version 0.1.0

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]
Date of publication2016-11-25 08:43:07
MaintainerPratik Ramprasad <pratik.ramprasad@gmail.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rIsing")

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rIsing documentation built on May 30, 2017, 12:12 a.m.