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

Last updated: December 23,2024

1. Install "r-cran-epitools" package

In this section, we are going to explain the necessary steps to install r-cran-epitools on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-epitools" package

This tutorial shows how to uninstall r-cran-epitools on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-epitools
Architecture: all
Version: 1:0.5-10.1-2build1
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: 359
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-epitools/r-cran-epitools_0.5-10.1-2build1_all.deb
Size: 316608
MD5sum: 6081ab6c172e7603656c0ac07cfd1535
SHA1: 915ba8e43a8a95a434cd86f8268846808c63802f
SHA256: 8902441dab5a10a61d31038bd39adab9c5aa4a4ca786001a7bc891e7c20af236
SHA512: e548ffb3c2372fa754c7a30bfee40cba4b106eee14157b7c062ca7de99dc9b0c75db7494cf4db3576c1ac9de2a196e63fdbdc7c7c0caa4a9bc30a14aa4bf9bf0
Homepage: https://cran.r-project.org/package=epitools
Description-en: GNU R Epidemiology Tools for Data and Graphics
GNU R Tools for public health epidemiologists and data analysts.
Epitools provides numerical tools and programming solutions that
have been used and tested in real-world epidemiologic applications.
.
Many practical problems in the analysis of public health data
require programming or special software, and investigators in
different locations may duplicate programming efforts. Often,
simple analyses, such as the construction of confidence intervals,
are not calculated and thereby complicate appropriate statistical
inferences for small geographic areas. There are many examples of
simple and useful numerical tools that would enhance the work of
epidemiologists at local health departments and yet are not readily
available for the problem in front of them. The availability of
these tools will encourage wider use of appropriate methods and
promote evidence-based public health practices.
Description-md5: 579d1c296218262ab25a96cfd54ed360