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

Last updated: May 06,2024

1. Install "r-cran-broom" package

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

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

2. Uninstall "r-cran-broom" package

Please follow the steps below to uninstall r-cran-broom on Kali Linux:

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

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

Package: r-cran-broom
Version: 1.0.5+dfsg-1
Installed-Size: 2168
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.3.0-1), r-api-4.0, r-cran-backports, r-cran-dplyr (>= 1.0.0), r-cran-ellipsis, r-cran-generics (>= 0.0.2), r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble (>= 3.0.0), r-cran-tidyr (>= 1.0.0)
Recommends: r-cran-testthat, r-cran-mass
Suggests: r-cran-aer, r-cran-bbmle, r-cran-boot, r-cran-car, r-cran-cardata, r-cran-caret, r-cran-cluster, r-cran-cmprsk, r-cran-coda, r-cran-covr, r-cran-e1071, r-cran-emmeans, r-cran-epir, r-cran-gam (>= 1.15), r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-glmnet, r-cran-gmm, r-cran-hmisc, r-cran-irlba, r-cran-interp, r-cran-knitr, r-cran-ks, r-cran-lavaan, r-cran-leaps, r-cran-lme4, r-cran-lmtest (>= 0.9.38), r-cran-lsmeans, r-cran-maps, r-cran-mclust, r-cran-metafor, r-cran-mgcv, r-cran-modeldata, r-cran-multcomp, r-cran-network, r-cran-nnet, r-cran-ordinal, r-cran-plm, r-cran-psych, r-cran-quantreg, r-cran-rmarkdown, r-cran-robust, r-cran-robustbase, r-cran-rsample, r-cran-sandwich, r-cran-sp, r-cran-spdep (>= 1.1), r-cran-spatialreg, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-systemfit, r-cran-tseries, r-cran-zoo
Size: 1768364
SHA256: 4641d3a8eabbf526de588a332b3adeb4bc6d2cea429c8837dde14fcf139a651e
SHA1: b3ae1d89837caac34f8418e26c129735b53e8f4a
MD5sum: 2e9cf729649e2785cf02b5d0e75597e2
Description: convert statistical analysis objects into tidy data frames with GNU R
Convert statistical analysis objects from R into tidy data frames,
so that they can more easily be combined, reshaped and otherwise processed
with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three
S3 generics: tidy, which summarizes a model's statistical findings such as
coefficients of a regression; augment, which adds columns to the original
data such as predictions, residuals and cluster assignments; and glance, which
provides a one-row summary of model-level statistics.
Description-md5:
Homepage: https://cran.r-project.org/package=broom
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-broom/r-cran-broom_1.0.5+dfsg-1_all.deb