IsingFit
Fitting Ising Models Using the ELasso Method
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.
- Version0.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release10/03/2023
Documentation
Team
Sacha Epskamp
Alexander Robitzsch
Claudia van Borkulo
Mihai Alexandru Constantin
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- Imports3 packages
- Suggests1 package
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