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.

Version: 0.2
Imports: magrittr, glmnet, reshape2, cvTools, qgraph, methods
Suggests: IsingSampler, akima
Published: 2016-09-11
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail at sachaepskamp.com>
License: GPL-2
Copyright: see file COPYRIGHTS
URL: github.com/SachaEpskamp/IsingSampler
NeedsCompilation: no
In views: Psychometrics
CRAN checks: elasticIsing results


Reference manual: elasticIsing.pdf


Package source: elasticIsing_0.2.tar.gz
Windows binaries: r-devel: elasticIsing_0.2.zip, r-release: elasticIsing_0.2.zip, r-oldrel: elasticIsing_0.2.zip
macOS binaries: r-release (arm64): elasticIsing_0.2.tgz, r-oldrel (arm64): elasticIsing_0.2.tgz, r-release (x86_64): elasticIsing_0.2.tgz, r-oldrel (x86_64): elasticIsing_0.2.tgz


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