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

Last updated: May 16,2024

1. Install "r-cran-progressr" package

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

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

2. Uninstall "r-cran-progressr" package

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

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

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

Package: r-cran-progressr
Version: 0.14.0-1
Installed-Size: 1470
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-digest
Recommends: r-cran-cli, r-cran-crayon, r-cran-pbmcapply, r-cran-progress, r-cran-purrr, r-cran-foreach, r-cran-plyr, r-cran-future, r-cran-future.apply, r-cran-furrr, r-cran-rstudioapi, r-cran-shiny, r-cran-commonmark, r-cran-base64enc
Size: 336952
SHA256: 3e0e96b4f165b959ddde03295f03ad7e8c1891ae503f14521f3e94b3e23d3f57
SHA1: ecfc91e297359c01634fb0f48743cc30e8eff3b7
MD5sum: be8d9665c3a8998c229a341bdd9130e1
Description: GNU R inclusive, unifying API for progress updates
A minimal, unifying API for scripts and packages to report progress
updates from anywhere including when using parallel processing. The
package is designed such that the developer can to focus on what
progress should be reported on without having to worry about how to
present it. The end user has full control of how, where, and when to
render these progress updates, e.g. in the terminal using
utils::txtProgressBar() or progress::progress_bar(), in a graphical user
interface using utils::winProgressBar(), tcltk::tkProgressBar() or
shiny::withProgress(), via the speakers using beep::beepr(), or on a
file system via the size of a file. Anyone can add additional,
customized, progression handlers. The 'progressr' package uses R's
condition framework for signaling progress updated. Because of this,
progress can be reported from almost anywhere in R, e.g. from classical
for and while loops, from map-reduce APIs like the lapply() family of
functions, 'purrr', 'plyr', and 'foreach'. It will also work with
parallel processing via the 'future' framework, e.g.
future.apply::future_lapply(), furrr::future_map(), and 'foreach' with
'doFuture'. The package is compatible with Shiny applications.
Description-md5:
Homepage: https://cran.r-project.org/package=progressr
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-progressr/r-cran-progressr_0.14.0-1_all.deb