# The metafor Package

A Meta-Analysis Package for R

news:news2014

# Differences

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 news:news2014 [2019/05/14 19:30]Wolfgang Viechtbauer [May 7th, 2014: New Version Out (1.9-3)] news:news2014 [2019/05/14 19:31] (current)Wolfgang Viechtbauer [July 30th, 2014: New Version Out (1.9-4)] Both sides previous revision Previous revision 2019/05/14 19:31 Wolfgang Viechtbauer [July 30th, 2014: New Version Out (1.9-4)] 2019/05/14 19:30 Wolfgang Viechtbauer [May 7th, 2014: New Version Out (1.9-3)] 2019/05/14 19:29 Wolfgang Viechtbauer [November 24th, 2014: New Version Out (1.9-5)] 2016/05/22 14:31 Wolfgang Viechtbauer 2016/05/22 14:28 Wolfgang Viechtbauer created 2019/05/14 19:31 Wolfgang Viechtbauer [July 30th, 2014: New Version Out (1.9-4)] 2019/05/14 19:30 Wolfgang Viechtbauer [May 7th, 2014: New Version Out (1.9-3)] 2019/05/14 19:29 Wolfgang Viechtbauer [November 24th, 2014: New Version Out (1.9-5)] 2016/05/22 14:31 Wolfgang Viechtbauer 2016/05/22 14:28 Wolfgang Viechtbauer created Line 41: Line 41: ==== July 30th, 2014: New Version Out (1.9-4) ==== ==== July 30th, 2014: New Version Out (1.9-4) ==== - Quite excited to release a new version of the metafor package. Aside from some minor improvements and bug fixes, the most important addition is the generalized Q-statistic estimator for the amount of (residual) heterogeneity (i.e., $\tau^2$) in random- and mixed-effects models. This is a generalization of the DerSimonian and Laird (DL) and the Hedges (HE) estimators and requires specification of user-defined weights (with the DL estimator corresponding to inverse sampling variance weights and the HE estimator to unit weights). When using this estimator, one can also obtain corresponding confidence intervals for $\tau^2$ based on the exact distributional properties of the estimator (based on Dan Jackson'​s excellent work). + Quite excited to release a new version of the metafor package ​(see the full changelog [[:​updates_old#​changes_in_version_19-4_2014-07-30|here]]). Aside from some minor improvements and bug fixes, the most important addition is the generalized Q-statistic estimator for the amount of (residual) heterogeneity (i.e., $\tau^2$) in random- and mixed-effects models. This is a generalization of the DerSimonian and Laird (DL) and the Hedges (HE) estimators and requires specification of user-defined weights (with the DL estimator corresponding to inverse sampling variance weights and the HE estimator to unit weights). When using this estimator, one can also obtain corresponding confidence intervals for $\tau^2$ based on the exact distributional properties of the estimator (based on Dan Jackson'​s excellent work). ==== July 16th, 2014: Testing Factors and Linear Combinations ==== ==== July 16th, 2014: Testing Factors and Linear Combinations ====