Package: IsingFit
Type: Package
Title: Fitting Ising Models Using the ELasso Method
Version: 0.4
Depends: R (>= 3.0.0)
Imports: qgraph, Matrix, glmnet
Suggests: IsingSampler
Author: Claudia van Borkulo, Sacha Epskamp; with contributions from Alexander Robitzsch and Mihai Alexandru Constantin
Maintainer: Sacha Epskamp <mail@sachaepskamp.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: 2023-10-03 06:51:16 UTC; sachaepskamp
Repository: CRAN
Date/Publication: 2023-10-03 22:00:06 UTC
Built: R 4.6.0; ; 2026-04-25 13:36:39 UTC; unix
