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

Last updated: May 18,2024

1. Install "r-cran-metafor" package

Please follow the guidance below to install r-cran-metafor on Kali Linux

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

2. Uninstall "r-cran-metafor" package

This guide covers the steps necessary to uninstall r-cran-metafor on Kali Linux:

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

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

Package: r-cran-metafor
Version: 4.4-0-1
Installed-Size: 5450
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-matrix, r-cran-metadat, r-cran-numderiv, r-cran-nlme, r-cran-mathjaxr, r-cran-pbapply
Recommends: r-cran-lme4, r-cran-pracma, r-cran-minqa, r-cran-nloptr, r-cran-dfoptim, r-cran-ucminf, r-cran-lbfgsb3c, r-cran-rsolnp, r-cran-optimparallel, r-cran-mvtnorm, r-cran-biasedurn, r-cran-epi, r-cran-survival, r-cran-glmmtmb, r-cran-multcomp, r-cran-gsl, r-cran-sp, r-cran-ape, r-cran-boot, r-cran-clubsandwich, r-cran-crayon, r-cran-r.rsp, r-cran-testthat, r-cran-rmarkdown, r-cran-emmeans, r-cran-rstudioapi
Size: 4926644
SHA256: c357a76289da7ead3b3522cc7bd9280afadc48ac33e29d2308bf41bd9500e13a
SHA1: 6d90c79aaf0c5b0475fdb18cbb2aed02603c4445
MD5sum: 9158089238546449db5baa32638ec262
Description: 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:
Homepage: https://cran.r-project.org/package=metafor
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-metafor/r-cran-metafor_4.4-0-1_all.deb