Other packages > Find by keyword >

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]
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 22 Dec. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA