rIsing: rIsing: High-Dimensional Ising Model Selection.

In rIsing: High-Dimensional Ising Model Selection

Description

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

rIsing functions

• logreg: L1-regularized logistic regression using OWL-QN L-BFGS-B optimization.

• Ising: Ising Model selection using L1-regularized logistic regression and extended BIC.

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