How to Install and Uninstall r-cran-qtl Package on Kali Linux

Last updated: May 13,2024

1. Install "r-cran-qtl" package

Please follow the guidelines below to install r-cran-qtl on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-qtl
            
                    
    
    Copied

2. Uninstall "r-cran-qtl" package

Please follow the guidance below to uninstall r-cran-qtl on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-qtl
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-qtl package on Kali Linux

Package: r-cran-qtl
Version: 1.66-1
Installed-Size: 10300
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, ruby
Recommends: r-cran-testthat
Size: 5527036
SHA256: 69a69325116d400f26af02726945ea28f22047319155517837c6e33e30646173
SHA1: fc1ca438d07935f540dc1710765e35a04277a57e
MD5sum: 7dda818e62f45ec032ca474e1d1b9443
Description: GNU R package for genetic marker linkage analysis
R/qtl is an extensible, interactive environment for mapping quantitative
trait loci (QTLs) in experimental crosses. It is implemented as an
add-on-package for the freely available and widely used statistical
language/software R (see http://www.r-project.org).
.
The development of this software as an add-on to R allows one to take
advantage of the basic mathematical and statistical functions, and
powerful graphics capabilities, that are provided with R. Further,
the user will benefit by the seamless integration of the QTL mapping
software into a general statistical analysis program. The goal is to
make complex QTL mapping methods widely accessible and allow users to
focus on modeling rather than computing.
.
A key component of computational methods for QTL mapping is the hidden
Markov model (HMM) technology for dealing with missing genotype data. The
main HMM algorithms, with allowance for the presence of genotyping errors,
for backcrosses, intercrosses, and phase-known four-way crosses
were implemented.
.
The current version of R/qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL
genome scans and two-QTL, two-dimensional genome scans, by interval
mapping (with the EM algorithm), Haley-Knott regression, and multiple
imputation. All of this may be done in the presence of covariates (such
as sex, age or treatment). One may also fit higher-order QTL models by
multiple imputation.
Description-md5:
Homepage: https://cran.r-project.org/package=qtl
Tag: devel::lang:r, devel::library, field::biology, field::statistics,
implemented-in::r, role::app-data, suite::gnu
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-qtl/r-cran-qtl_1.66-1_amd64.deb