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

Last updated: May 14,2024

1. Install "r-cran-collapse" package

This is a short guide on how to install r-cran-collapse on Kali Linux

$ sudo apt update $ sudo apt install r-cran-collapse

2. Uninstall "r-cran-collapse" package

This guide covers the steps necessary to uninstall r-cran-collapse on Kali Linux:

$ sudo apt remove r-cran-collapse $ sudo apt autoclean && sudo apt autoremove

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

Package: r-cran-collapse
Version: 2.0.10-1
Installed-Size: 4530
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 1.0.1), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 13.1)
Recommends: r-cran-data.table, r-cran-magrittr, r-cran-xts, r-cran-zoo, r-cran-plm, r-cran-rcpparmadillo, r-cran-rcppeigen, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Size: 3093180
SHA256: 86b9407771b44acaaca3e166e7e0f44344cb106374ec2925826cc45e6a39986c
SHA1: 467345fdbd677b6341c0d90d0651a414f3e4df1f
MD5sum: 6a6b5d6ca4cfcd817319bf2b08f3a090
Description: GNU R advanced and fast data transformation
A C/C++ based package for advanced data transformation and statistical
computing in R that is extremely fast, flexible and parsimonious to code
with, class-agnostic and programmer friendly. It is well integrated with
base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series
and data frames), 'sf' data frames, and non-destructively handles other
matrix or data frame based classes (such as 'ts', 'xts' / 'zoo',
'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: ---
(1) Advanced statistical programming: A full set of fast statistical
functions supporting grouped and weighted computations on vectors,
matrices and data frames. Fast and programmable grouping, ordering,
unique values / rows, factor generation and interactions. Fast and
flexible functions for data manipulation and data object
conversions.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function,
weighted, parallelized and fully customized data aggregation.
(3) Advanced transformations: Fast row / column arithmetic, (grouped)
replacing and sweeping out of statistics, (grouped, weighted)
scaling / standardizing, between (averaging) and (quasi-)within
(centering / demeaning) transformations, higher-dimensional
centering (i.e. multiple fixed effects transformations), linear
prediction / partialling-out, linear model fitting and testing.
(4) Advanced time-computations: Fast (sequences of) lags / leads, and
(lagged / leaded, iterated, quasi-, log-) differences, (compounded)
growth rates, and cumulative sums on (unordered, irregular) time
series and panel data. Multivariate auto-, partial- and cross-
correlation functions for panel data. Panel data to (ts-)array
conversions.
(5) List processing: (Recursive) list search / identification,
splitting, extraction / subsetting, data-apply, and generalized
recursive row-binding / unlisting in 2D.
(6) Advanced data exploration: Fast (grouped, weighted, panel-
decomposed) summary statistics for complex multilevel / panel data.
Description-md5:
Homepage: https://cran.r-project.org/package=collapse
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-collapse/r-cran-collapse_2.0.10-1_amd64.deb