Package: IsingFit
Type: Package
Title: Fitting Ising Models Using the ELasso Method
Version: 0.3.1
Date: 2016-9-6
Depends: R (>= 3.0.0)
Imports: qgraph, Matrix, glmnet
Suggests: IsingSampler
Author: Claudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch
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 data.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-09-07 09:20:13 UTC; claudiavb
Repository: CRAN
Date/Publication: 2016-09-07 13:01:58
Built: R 4.0.2; ; 2020-07-17 15:21:43 UTC; unix
