elasticIsing: Ising Network Estimation using Elastic Net and k-Fold Cross-Validation

Description: Uses k-fold cross-validation and elastic-net regularization to estimate the Ising model on binary data. Produces 3D plots of the cost function as a function of the tuning parameter in addition to the optimal network structure.

AuthorSacha Epskamp
Date of publication2016-09-11 18:37:02
MaintainerSacha Epskamp <mail@sachaepskamp.com>

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.