https://github.com/allenzhuaz/mhtdiscrete
Multiple Hypotheses Testing for Discrete Data
https://github.com/allenzhuaz/mhtdiscrete
adjustment-computations benjamini-hochberg bonferroni discrete-distributions multiple-testing-correction
Last synced: 12 months ago
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Multiple Hypotheses Testing for Discrete Data
- Host: GitHub
- URL: https://github.com/allenzhuaz/mhtdiscrete
- Owner: allenzhuaz
- Created: 2016-11-30T01:20:22.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2019-07-09T19:10:26.000Z (over 6 years ago)
- Last Synced: 2025-01-17T17:51:26.476Z (about 1 year ago)
- Topics: adjustment-computations, benjamini-hochberg, bonferroni, discrete-distributions, multiple-testing-correction
- Language: R
- Size: 327 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# MHTdiscrete
## Multiple Hypotheses Testing for Discrete Data
[](https://cran.r-project.org/package=MHTdiscrete) [](https://cran.r-project.org/package=MHTdiscrete) [](https://www.tidyverse.org/lifecycle/#stable)
Overview
--------
This package includes most FWER and FDR controlling procedures for discrete data.
The paper describes the new stepwise FWER controlling methods for discrete data is available on arXiv:
[Zhu, Y., & Guo, W. (2017). Familywise Error Rate Controlling Procedures for Discrete Data. *arXiv preprint* arXiv:1711.08147.](https://arxiv.org/abs/1711.08147)
Installation
------------
Open R console, install the pacakge directly from [CRAN](https://cran.r-project.org/web/packages/MHTdiscrete/index.html):
```r
install.packages("MHTdiscrete")
library(MHTdiscrete)
```
Or install the development version from GitHub, first make sure to install the `devtools` package:
```r
# install.packages("devtools")
devtools::install_github("allenzhuaz/MHTdiscrete")
```