Provides functions to fit the normal means problem using Empirical Bayes. The goal is for these functions to be simple, fast and stable. Currently two models are implemented: the point-normal and point-laplace priors. The point-normal is considerably faster. See functions ebnm_point_normal, ebnm_point_laplace.
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Summary
Provides functions to fit the normal means problem using Empirical Bayes. The goal is for these functions to be simple, fast and stable. Currently two models are implemented: the point-normal and point-laplace priors. The point-normal is considerably faster. See functions ebnm_point_normal, ebnm_point_laplace.
Last Updated
Mar 15, 2019 at 02:13
License
GPL (>=3)
Total Downloads
8
Supported Platforms