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Package: r-cran-metafor (3.0-2-1)

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.

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  • dep: r-api-4.0
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  • dep: r-base-core (>= 4.1.1-2)
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  • dep: r-cran-mathjaxr
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  • dep: r-cran-matrix
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  • dep: r-cran-nlme
    GNU R package for (non-)linear mixed effects models
  • dep: r-cran-pbapply
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  • rec: r-cran-dfoptim
    GNU R derivative-free optimization
  • rec: r-cran-gsl
    GNU R wrapper for the GNU Scientific Library
  • rec: r-cran-lme4
    GNU R package for linear mixed effects model fitting
  • rec: r-cran-minqa
    GNU R package for quadratic optimisation without derivatives
  • rec: r-cran-mvtnorm
    GNU R package to compute multivariate Normal and T distributions
  • rec: r-cran-numderiv
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  • rec: r-cran-testthat
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  • rec: r-cran-ucminf
    GNU R general-purpose unconstrained non-linear optimization

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