How to Install and Uninstall r-bioc-multtest Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "r-bioc-multtest" package

This tutorial shows how to install r-bioc-multtest on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-multtest
            
                    
    
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2. Uninstall "r-bioc-multtest" package

Learn how to uninstall r-bioc-multtest on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-bioc-multtest
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-multtest package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-bioc-multtest
Priority: optional
Section: universe/gnu-r
Installed-Size: 812
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 2.26.0-1
Depends: r-base-core (>= 3.2.2-1), r-api-3, libc6 (>= 2.14), r-bioc-biobase, r-cran-survival, r-cran-mass
Filename: pool/universe/r/r-bioc-multtest/r-bioc-multtest_2.26.0-1_amd64.deb
Size: 632854
MD5sum: 505cbd74cffb613473af55ca076eaa8e
SHA1: 9e2f8e6580d93c49172f6807526325f05ff47c13
SHA256: a94edfa50bbcbb6f344218a0db5776df435496d1f9a9feee107a301926f0f60d
Description-en: Bioconductor resampling-based multiple hypothesis testing
Non-parametric bootstrap and permutation resampling-based multiple
testing procedures (including empirical Bayes methods) for controlling
the family-wise error rate (FWER), generalized family-wise error rate
(gFWER), tail probability of the proportion of false positives (TPPFP),
and false discovery rate (FDR). Several choices of bootstrap-based null
distribution are implemented (centered, centered and scaled,
quantile-transformed). Single-step and step-wise methods are available.
Tests based on a variety of t- and F-statistics (including t-statistics
based on regression parameters from linear and survival models as well
as those based on correlation parameters) are included. When probing
hypotheses with t-statistics, users may also select a potentially faster
null distribution which is multivariate normal with mean zero and
variance covariance matrix derived from the vector influence function.
Results are reported in terms of adjusted p-values, confidence regions
and test statistic cutoffs. The procedures are directly applicable to
identifying differentially expressed genes in DNA microarray
experiments.
Description-md5: c4112391aa6882e8925f94048452c84f
Homepage: http://bioconductor.org/packages/release/bioc/html/multtest.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu