EBrank: EBrank: Empirical Bayes Ranking
In EBrank: Empirical Bayes Ranking
Description
Empirical Bayes ranking applicable to parallel-estimation settings where the estimated parameters are asymptotically unbiased and normal, with known standard errors. A mixture normal prior for the parameter is estimated, subsequentially ranks for each parameter are simulated from the resulting posterior. Finally, experiments are ordered by expected posterior rank, although computations minimizing other plausible rank-loss functions are also given.
EBrank functions
rankEM
EBrank documentation built on May 2, 2019, 4:17 a.m.
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Description
Empirical Bayes ranking applicable to parallel-estimation settings where the estimated parameters are asymptotically unbiased and normal, with known standard errors. A mixture normal prior for the parameter is estimated, subsequentially ranks for each parameter are simulated from the resulting posterior. Finally, experiments are ordered by expected posterior rank, although computations minimizing other plausible rank-loss functions are also given.
EBrank functions
rankEM
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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