chongma1989/tiltmod: Exponential Tilting Method for Reproducible Screening of Large Scale Testing Problem
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.
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Package details |
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| Author | Chong Ma |
| Maintainer | Chong Ma <chong.ma@yale.edu> |
| License | GPL (>= 2) |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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