rcorex-package: An Implementation of Total Correlation Explanation
In jpkrooney/rcorex: An Implementation of Total Correlation Explanation
rcorex-package R Documentation
An Implementation of Total Correlation Explanation
Description
rcorex implements Total Correlation Explanation (CorEx) in R.
CorEx is a computationally efficient algorithm which uses
multivariate mutual information to discover latent factors which
best explain correlations in a dataset. CorEx is computationally
efficient and is easily extended to discover hierarchical structure.
The main function in the rcorex package is biocorex, model convergence can be visualised via plot.rcorex, and a tidygraph object of discovered structure can be created using make_corex_tidygraph.
jpkrooney/rcorex documentation built on July 25, 2022, 1:37 a.m.
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| rcorex-package | R Documentation |
An Implementation of Total Correlation Explanation
Description
rcorex implements Total Correlation Explanation (CorEx) in R. CorEx is a computationally efficient algorithm which uses multivariate mutual information to discover latent factors which best explain correlations in a dataset. CorEx is computationally efficient and is easily extended to discover hierarchical structure.
The main function in the rcorex package is biocorex, model convergence can be visualised via plot.rcorex, and a tidygraph object of discovered structure can be created using make_corex_tidygraph.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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