Performs adaptive shrinkage of correlation and covariance matrices using a mixture model prior over the Fisher z-transformation of the correlations. It allows separate shrinkage intensity for each cell of the correlation matrix. Can also we flexibly extended to correlation like quantities such as cosine similarities in word2vec models and to partial correlations in conditional graph estimation. For details on methods, refer to Stephens (2017) <doi:https://doi.org/10.1093/biostatistics/kxw041>.
|Author||c(person("Kushal","Dey",role=c("aut","cre"), email="[email protected]"), person("Matthew","Stephens",role="aut"), person("Peter","Carbonetto",role="ctb"))|
|Maintainer||Kushal Dey <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.