IsingFit: Fitting Ising Models Using the ELasso Method (original) (raw)
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.
| Version: | 0.4 |
|---|---|
| Depends: | R (≥ 3.0.0) |
| Imports: | qgraph, Matrix, glmnet |
| Suggests: | IsingSampler |
| Published: | 2023-10-03 |
| DOI: | 10.32614/CRAN.package.IsingFit |
| Author: | Claudia van Borkulo, Sacha Epskamp; with contributions from Alexander Robitzsch and Mihai Alexandru Constantin |
| Maintainer: | Sacha Epskamp |
| License: | GPL-2 |
| Copyright: | see file |
| NeedsCompilation: | no |
| Materials: | README, |
| In views: | Psychometrics |
| CRAN checks: | IsingFit results |
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