Package: r-cran-metafor
Version: 3.0-2-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 4970
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-matrix, r-cran-nlme, r-cran-mathjaxr, r-cran-pbapply
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-ape, r-cran-boot, r-cran-crayon, r-cran-rmarkdown
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=metafor
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.
