How to Install and Uninstall r-cran-metafor Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: December 25,2024
1. Install "r-cran-metafor" package
Please follow the instructions below to install r-cran-metafor on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
r-cran-metafor
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2. Uninstall "r-cran-metafor" package
This guide covers the steps necessary to uninstall r-cran-metafor on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
r-cran-metafor
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-metafor package on Ubuntu 20.10 (Groovy Gorilla)
Package: r-cran-metafor
Architecture: all
Version: 2.4-0-2build1
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: 3388
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-matrix, r-cran-nlme
Recommends: r-cran-testthat, r-cran-mvtnorm, r-cran-gsl, r-cran-minqa, r-cran-numderiv, r-cran-lme4, r-cran-ucminf, r-cran-dfoptim
Suggests: r-cran-nloptr, r-cran-biasedurn, r-cran-epi, r-cran-survival, r-cran-multcomp, r-cran-sp, r-cran-boot, r-cran-crayon, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-metafor/r-cran-metafor_2.4-0-2build1_all.deb
Size: 2954376
MD5sum: fb70f5f0a3de9ef0ec519f0f5ebdcfc6
SHA1: 5a24fcd54b94f7d3bfd16c2cee9b93578557fafc
SHA256: 4ca461aee68dcba256fc90c27bb99ecae1585cfc6644c7a178583667e6fc3e7c
SHA512: ded5bd5be782429509c408dc6962a44b07f7eabf309aa03bb0861d5c7ceccd503b5a6b1bc70fe09fe2227223cc183e19283c493eb8155d46a868c26ec2c35cc0
Homepage: https://cran.r-project.org/package=metafor
Description-en: Meta-Analysis Package for R
A comprehensive collection of functions for conducting meta-analyses in
R. The package includes functions to calculate various effect sizes or
outcome measures, fit fixed-, random-, and mixed-effects models to such
data, carry out moderator and meta-regression analyses, and create
various types of meta-analytical plots (e.g., forest, funnel, radial,
L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-
time data, the package also provides functions that implement
specialized methods, including the Mantel-Haenszel method, Peto's
method, and a variety of suitable generalized linear (mixed-effects)
models (i.e., mixed-effects logistic and Poisson regression models).
Finally, the package provides functionality for fitting meta-analytic
multivariate/multilevel models that account for non-independent sampling
errors and/or true effects (e.g., due to the inclusion of multiple
treatment studies, multiple endpoints, or other forms of clustering).
Network meta-analyses and meta-analyses accounting for known correlation
structures (e.g., due to phylogenetic relatedness) can also be
conducted.
Description-md5: 1b277851f8fcf65676981c19580913c8
Architecture: all
Version: 2.4-0-2build1
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: 3388
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-matrix, r-cran-nlme
Recommends: r-cran-testthat, r-cran-mvtnorm, r-cran-gsl, r-cran-minqa, r-cran-numderiv, r-cran-lme4, r-cran-ucminf, r-cran-dfoptim
Suggests: r-cran-nloptr, r-cran-biasedurn, r-cran-epi, r-cran-survival, r-cran-multcomp, r-cran-sp, r-cran-boot, r-cran-crayon, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-metafor/r-cran-metafor_2.4-0-2build1_all.deb
Size: 2954376
MD5sum: fb70f5f0a3de9ef0ec519f0f5ebdcfc6
SHA1: 5a24fcd54b94f7d3bfd16c2cee9b93578557fafc
SHA256: 4ca461aee68dcba256fc90c27bb99ecae1585cfc6644c7a178583667e6fc3e7c
SHA512: ded5bd5be782429509c408dc6962a44b07f7eabf309aa03bb0861d5c7ceccd503b5a6b1bc70fe09fe2227223cc183e19283c493eb8155d46a868c26ec2c35cc0
Homepage: https://cran.r-project.org/package=metafor
Description-en: Meta-Analysis Package for R
A comprehensive collection of functions for conducting meta-analyses in
R. The package includes functions to calculate various effect sizes or
outcome measures, fit fixed-, random-, and mixed-effects models to such
data, carry out moderator and meta-regression analyses, and create
various types of meta-analytical plots (e.g., forest, funnel, radial,
L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-
time data, the package also provides functions that implement
specialized methods, including the Mantel-Haenszel method, Peto's
method, and a variety of suitable generalized linear (mixed-effects)
models (i.e., mixed-effects logistic and Poisson regression models).
Finally, the package provides functionality for fitting meta-analytic
multivariate/multilevel models that account for non-independent sampling
errors and/or true effects (e.g., due to the inclusion of multiple
treatment studies, multiple endpoints, or other forms of clustering).
Network meta-analyses and meta-analyses accounting for known correlation
structures (e.g., due to phylogenetic relatedness) can also be
conducted.
Description-md5: 1b277851f8fcf65676981c19580913c8