How to Install and Uninstall r-cran-batchtools Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "r-cran-batchtools" package

Please follow the instructions below to install r-cran-batchtools on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-batchtools" package

Please follow the guidance below to uninstall r-cran-batchtools on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-cran-batchtools package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-batchtools
Architecture: amd64
Version: 0.9.13-1build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1244
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-backports (>= 1.1.2), r-cran-base64url (>= 1.1), r-cran-brew, r-cran-checkmate (>= 1.8.5), r-cran-data.table (>= 1.11.2), r-cran-digest (>= 0.6.9), r-cran-fs (>= 1.2.0), r-cran-progress (>= 1.1.1), r-cran-r6, r-cran-rappdirs, r-cran-stringi, r-cran-withr (>= 2.0.0), libc6 (>= 2.2.5)
Recommends: r-cran-testthat, r-cran-ranger
Suggests: r-cran-doparallel, r-cran-e1071, r-cran-foreach, r-cran-future, r-cran-future.batchtools, r-cran-knitr, r-cran-parallelmap, r-cran-rmarkdown, r-cran-rpart, r-cran-snow, r-cran-tibble
Filename: pool/universe/r/r-cran-batchtools/r-cran-batchtools_0.9.13-1build1_amd64.deb
Size: 1045168
MD5sum: 092f1cdf609836973ec2a799187be834
SHA1: b3e11c0ef242d7de86ba0ac00580098237a9f944
SHA256: 3aa63e194d1bcdc92474cff48cfd0cf2a7f2348091592b9c6b09fbc7fec1dba0
SHA512: 19ec57a3b81c3707c017f4aff63c922a3464eadc1e49b525b75263541bcfa10522d397e16db1612ad3cf5f9073a6a5c21b0d39ddc28e3b62fab8e16d2bb672a7
Homepage: https://cran.r-project.org/package=batchtools
Description-en: GNU R tools for computation on batch systems
As a successor of the packages 'BatchJobs' and 'BatchExperiments',
this package provides a parallel implementation of the Map function for
high performance computing systems managed by schedulers IBM Spectrum LSF
OpenLava, Univa Grid Engine/Oracle Grid Engine, Slurm, TORQUE/PBS, or
Docker Swarm.
.
A multicore and socket mode allow the parallelization on a local machines,
and multiple machines can be hooked up via SSH to create a makeshift
cluster. Moreover, the package provides an abstraction mechanism to define
large-scale computer experiments in a well-organized and reproducible way.
Description-md5: a0a84b8c16da04b5ae28bc46eef73549