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.


Reference manual

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0.2 by Sacha Epskamp, 3 years ago

Browse source code at

Authors: Sacha Epskamp

Documentation:   PDF Manual  

GPL-2 license

Imports magrittr, glmnet, reshape2, cvTools, qgraph, methods

Suggests IsingSampler, akima

See at CRAN