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--- features [2021/04/25 20:03] – [Models and Analysis Approaches] Wolfgang Viechtbauer
+++ features [2021/11/05 07:10] – [Models and Analysis Approaches] Wolfgang Viechtbauer
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 The package provides a variety of models and analysis approaches, including:
-  * fixed-, random-, and mixed-effects models using the inverse-variance method (''rma()'' function),
+  * equal/fixed/random-effects models using the inverse-variance method (''rma()'' function),
   * the Mantel-Haenszel and Peto's (one-step) method for 2×2 table and two-group person-time data (''rma.mh()'' and ''rma.peto()'' functions),
   * generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models) for the analysis of 2×2 table data, two-group person-time data, proportions, and incidence rates (''rma.glmm()'' function),
@@ Line 28: / Line 28: @@
   * spatio-temporal meta-analytic models (''rma.mv()'' function),
   * subgrouping and (mixed-effects) meta-regression analyses,
-  * location-scale models (''rma()'' function),
+  * location-scale models (''rma()'' function using the ''scale'' argument),
   * models with user-defined weights.
@@ Line 88: / Line 88: @@
 ==== Datasets ====
-The package also includes over 50 datasets from published meta-analyses that can be used for teaching and illustration purposes.
+The package also includes over 60 datasets from published meta-analyses that can be used for teaching and illustration purposes (now part of the [[https://cran.r-project.org/package=metadat|metadat]] package).
 ==== Notes ====