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

Last updated: November 26,2024

1. Install "r-cran-logcondens" package

In this section, we are going to explain the necessary steps to install r-cran-logcondens on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-logcondens
            
                    
    
    Copied

2. Uninstall "r-cran-logcondens" package

Here is a brief guide to show you how to uninstall r-cran-logcondens on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-logcondens
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-logcondens
Version: 2.1.8-1
Installed-Size: 674
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-ks
Size: 561532
SHA256: 014aa15cdc6e990bc723d70e40219c1a72c1cf4fea6588911b5665c0555f152a
SHA1: 4c3dcad341b4d9588b74c412d119ac3af4b94696
MD5sum: d0b66544cbb84d7a3a240e9be05bcf00
Description: GNU R estimate a log-concave probability density from Iid observations
Given independent and identically distributed observations X(1), ...,
X(n), compute the maximum likelihood estimator (MLE) of a density as
well as a smoothed version of it under the assumption that the density
is log-concave, see Rufibach (2007) and Duembgen and Rufibach (2009).
The main function of the package is 'logConDens' that allows computation
of the log-concave MLE and its smoothed version. In addition, the package
provides functions to compute (1) the value of the density and distribution
function estimates (MLE and smoothed) at a given point (2) the
characterizing functions of the estimator, (3) to sample from the
estimated distribution, (5) to compute a two-sample permutation test
based on log-concave densities, (6) the ROC curve based on log-concave
estimates within cases and controls, including confidence intervals for
given values of false positive fractions (7) computation of a confidence
interval for the value of the true density at a fixed point. Finally,
three datasets that have been used to illustrate log-concave density
estimation are made available.
Description-md5:
Homepage: https://cran.r-project.org/package=logcondens
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-logcondens/r-cran-logcondens_2.1.8-1_all.deb