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metafor - 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 equal-, 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, bubble, and 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. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.

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meta-analysismixed-effectsmultilevel-modelsmultivariate

16.65 score 298 stars 105 dependents 6.7k scripts 59k downloads

metadat - Meta-Analysis Datasets

A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.

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datasetdatasetsmeta-analysis

11.17 score 33 stars 105 dependents 92 scripts 47k downloads

mathjaxr - Using 'Mathjax' in Rd Files

Provides 'MathJax' and macros to enable its use within Rd files for rendering equations in the HTML help files.

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latexmathjax

10.12 score 44 stars 199 dependents 48 scripts 52k downloads

plotannotate - Annotate Plots

Interactively annotate 'base R graphics' plots with freehand drawing, symbols (points, lines, arrows, rectangles, circles, ellipses), and text. This is useful for teaching, for example to visually explain certain plot elements, and creating quick sketches.

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plotting

4.10 score 5 stars 490 downloads