Author:

Keywords:

Science & Technology, Technology, Physical Sciences, Computer Science, Interdisciplinary Applications, Statistics & Probability, Computer Science, Mathematics, meta-analysis, R, mixed-effects model, meta-regression, moderator analysis, DETECT PUBLICATION BIAS, CUMULATIVE METAANALYSIS, VARIANCE-ESTIMATION, HETEROGENEITY, TESTS, TUBERCULOSIS, REGRESSION, MODELS, TRIALS, PLOTS, 0104 Statistics, 4905 Statistics

Abstract:

The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for metaanalyses of 2 × 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.