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.
-
Notifications
You must be signed in to change notification settings - Fork 1
cran/IsingFit
About
❗ This is a read-only mirror of the CRAN R package repository. IsingFit — Fitting Ising Models Using the ELasso Method
Resources
Stars
Watchers
Forks
Packages 0
No packages published