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

Last updated: November 07,2024

1. Install "r-cran-prophet" package

Please follow the step by step instructions below to install r-cran-prophet on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-prophet
            
                    
    
    Copied

2. Uninstall "r-cran-prophet" package

This tutorial shows how to uninstall r-cran-prophet on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-prophet
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-prophet
Version: 1.0+dfsg-5
Installed-Size: 1863
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-rlang (>= 0.3.0.1), r-cran-dplyr (>= 0.7.7), r-cran-dygraphs (>= 1.1.1.4), r-cran-extradistr, r-cran-ggplot2, r-cran-lubridate, r-cran-rcppparallel (>= 5.0.1), r-cran-rstan (>= 2.18.1), r-cran-rstantools (>= 2.0.0), r-cran-scales, r-cran-stanheaders (>= 2.18.0), r-cran-tidyr (>= 0.6.1), r-cran-xts, r-cran-bh (>= 1.66.0), r-cran-rcppeigen (>= 0.3.3.3.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), libtbb12 (>= 2021.4.0)
Recommends: r-cran-knitr, r-cran-testthat, r-cran-readr, r-cran-rmarkdown
Size: 857208
SHA256: 8310fa1feb5477c348b4b1c83a494d3237df70e8517812e50d932cc5fe4cba50
SHA1: 314dfce96363ff485e0dd4959dc85abb48d297f9
MD5sum: 1139bef7db74f7ddd27d281e4e86ed87
Description: GNU R automatic forecasting procedure
Implements a procedure for forecasting time series data based on an
additive model where non-linear trends are fit with yearly, weekly, and
daily seasonality, plus holiday effects. It works best with time series
that have strong seasonal effects and several seasons of historical
data. Prophet is robust to missing data and shifts in the trend, and
typically handles outliers well.
Description-md5:
Homepage: https://cran.r-project.org/package=prophet
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-prophet/r-cran-prophet_1.0+dfsg-5_amd64.deb