Package: IsingFit
Type: Package
Title: Fitting Ising models using the eLasso method
Version: 0.1.2
Date: 2014-01-07
Depends: R (>= 3.0.0)
Imports: qgraph, Matrix, glmnet
Suggests: IsingSampler
Author: Claudia van Borkulo, Sacha Epskamp
Maintainer: Claudia van Borkulo <cvborkulo@gmail.com>
Description: This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary or continuous data.
License: GPL-2
Packaged: 2014-02-10 15:17:13 UTC; claudiavb
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-17 12:12:33
