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PLIS
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]
[Scholar Profile | Author Map]
All associated links for this package
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 07 Jun. 2026.
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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