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Shrinkage estimators for estimating regression parameters
This R package provides functions for estimating the penalization parameter for shrinkage estimators using the approach of Keller and Rice (2017). The package currently contains functionality for ridge regressiona and the LASSO. The penalty parameter is selected by minimizing bias and/or variance in data generated from the posterior predictive distribution.
Keller JP and Rice KM. (2017) Selecting Shrinkage Parameters for Effect Estimation: the Multi-Ethnic Study of Atherosclerosis. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwx225
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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