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

Last updated: May 03,2024

1. Install "r-cran-amelia" package

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

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

2. Uninstall "r-cran-amelia" package

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

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

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

Package: r-cran-amelia
Architecture: amd64
Version: 1.7.6-1build2
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: 1598
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11), r-cran-foreign, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Suggests: r-cran-zelig
Filename: pool/universe/r/r-cran-amelia/r-cran-amelia_1.7.6-1build2_amd64.deb
Size: 1224976
MD5sum: b09ae23e5c958952cd5e4a5f10e7684f
SHA1: 798b5b16c1886635e0db3387f9669ed365762c6f
SHA256: 2d333ca94b91c66e09478f0d4959bb6b9249b3f0a72e776ace26dfac2a634cb3
SHA512: 342f5829d6962761340b7343642e2189dd4852ab76f1400eac23915cc89432b48eabbfffe336fc9264254ee0c00fe6bcf1e4759b1442e1456b05fdf3387be581
Homepage: https://cran.r-project.org/package=Amelia
Description-en: GNU R package supporting multiple imputation of missing data
Amelia II "multiply imputes" missing data in a single cross-section
(such as a survey), from a time series (like variables collected for
each year in a country), or from a time-series-cross-sectional data
set (such as collected by years for each of several
countries). Amelia II implements a bootstrapping-based algorithm
that gives essentially the same answers as the standard IP or EMis
approaches, is usually considerably faster than existing approaches
and can handle many more variables.
.
The program also generalizes existing approaches by allowing for
trends in time series across observations within a cross-sectional
unit, as well as priors that allow experts to incorporate beliefs
they have about the values of missing cells in their data. Amelia II
also includes useful diagnostics of the fit of multiple imputation
models. The program works from the R command line or via a graphical
user interface that does not require users to know R.
Description-md5: 6b1eae2e656799f260493f9249e1f3d9