Develop an exponential tilting method by conditioning on the false discovery rate to tilt a two component mixture of Beta distributions, yielding an tilted mixture model. Use a Boosted EM algorithm to fit a two-component mixture of Beta distributions for p-values or left tail areas of test statistics. The Boosted EM algorithm for the mixture model fitting is built in C++, which is quite fast and stable. The package also includes two utility functions to generate tilted false discovery rates and frequency network.
|Maintainer||Chong Ma <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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