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

Last updated: November 22,2024

1. Install "r-cran-strucchange" package

This is a short guide on how to install r-cran-strucchange on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-strucchange" package

This guide covers the steps necessary to uninstall r-cran-strucchange on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-strucchange
Architecture: amd64
Version: 1.5-2-1+1build1
Priority: optional
Section: universe/math
Source: strucchange
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1071
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-zoo, r-cran-sandwich
Filename: pool/universe/s/strucchange/r-cran-strucchange_1.5-2-1+1build1_amd64.deb
Size: 956616
MD5sum: 6d8f149af66bc63795067d1dfa597c0b
SHA1: 6c342ae5e449d9729f4fbe688fe7ca1f994d7a44
SHA256: 325cfb5e048eac6093b230750118558cb9a1185fe12462c85c9b7f29ceb69970
SHA512: 1455194f8d85e9a5456053303443272974c86f17e62fddd46e2a1f6e6f624210f85d524e84e261f95d1f92e58e1da1423f2b30f10dc3fe1ec235c50877635730
Homepage: https://cran.r-project.org/package=strucchange
Description-en: GNU R package for structural change regression estimation
This package functions for testing, dating and monitoring of
structural change in linear regression relationships. The strucchange
package features tests/methods from the generalized fluctuation test
framework as well as from the F test (Chow test) framework. This
includes methods to fit, plot and test fluctuation processes (e.g.,
CUSUM, MOSUM, recursive/moving estimates) and F statistics,
respectively. It is possible to monitor incoming data online using
fluctuation processes.
.
Finally, the breakpoints in regression models with structural changes
can be estimated together with confidence intervals. Emphasis is
always given to methods for visualizing the data.
Description-md5: 7dc4f7c87a4631e62a6475b2b46d6496