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PLIS  

Multiplicity Control using Pooled LIS Statistic
View on CRAN: Click here


Download and install PLIS package within the R console
Install from CRAN:
install.packages("PLIS")

Install from Github:
library("remotes")
install_github("cran/PLIS")

Install by package version:
library("remotes")
install_version("PLIS", "1.2")



Attach the package and use:
library("PLIS")
Maintained by
Zhi Wei
[Scholar Profile | Author Map]
First Published: 2012-08-10
Latest Update: 2022-10-02
Description:
A multiple testing procedure for testing several groups of hypotheses is implemented. Linear dependency among the hypotheses within the same group is modeled by using hidden Markov Models. It is noted that a smaller p value does not necessarily imply more significance due to the dependency. A typical application is to analyze genome wide association studies datasets, where SNPs from the same chromosome are treated as a group and exhibit strong linear genomic dependency. See Wei Z, Sun W, Wang K, Hakonarson H (2009) for more details.
How to cite:
Zhi Wei (2012). PLIS: Multiplicity Control using Pooled LIS Statistic. R package version 1.2, https://cran.r-project.org/web/packages/PLIS. Accessed 06 May. 2025.
Previous versions and publish date:
1.0 (2012-08-10 05:27), 1.1 (2012-08-11 06:40)
Other packages that cited PLIS R package
View PLIS citation profile
Other R packages that PLIS depends, imports, suggests or enhances
Complete documentation for PLIS
Functions, R codes and Examples using the PLIS R package
Some associated functions: GWAS.SampleData . PLIS-package . bwfw.hmm . bwfw1.hmm . em.hmm . plis . 
Some associated R codes: bwfw.hmm.R . bwfw1.hmm.R . em.hmm.R . plis.R .  Full PLIS package functions and examples
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