The metafor Package

A Meta-Analysis Package for R

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updates [2024/03/29 09:55] Wolfgang Viechtbauerupdates [2024/03/29 09:58] (current) Wolfgang Viechtbauer
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 On this page, you can find a description of the (recent) updates to the metafor package. Older updates are archived [[updates_old|here]]. On this page, you can find a description of the (recent) updates to the metafor package. Older updates are archived [[updates_old|here]].
 +
 +==== Version 4.6-0 (2024-03-28) ====
 +
 +  * the ''steps'' argument in the various ''profile()'' functions can now also be a numeric vector to specify for which parameter values the likelihood should be evaluated
 +  * a few minor fixes to the dynamic theming of plots based on the foreground and background colors of the plotting device
 +  * slightly improved flexibility for setting package options
 +  * new measures added to ''escalc()'': ''"SMN"'' for the single-group standardized mean / single-group standardized mean difference, ''"SMCRP"'' for the standardized mean change using raw score standardization with pooled standard deviations, and ''"SMCRPH"'' for the standardized mean change using raw score standardization with pooled standard deviations and heteroscedastic population variances at the two measurement occasions
 +  * calculation of the sampling variances for measures ''"SMDH"'', ''"SMD1H"'', and ''"SMCRH"'' was slightly adjusted for consistency
 +  * in ''plot.gosh.rma()'', can also set ''het="tau"'' (to plot the square root of tau^2 as the measure of heterogeneity)
 +  * in the various ''forest()'' functions, argument ''ylim'' can now only be a single value to specify the lower bound (while the upper bound is still set automatically)
 +  * in ''forest()'' and ''regplot()'', observation limits set via ''olim'' are now properly applied to all elements
 +  * various internal improvements to ''selmodel()''
 +  * ''selmodel()'' no longer stops with an error when one or more intervals defined by the ''steps'' argument do not contain any observed p-values (instead a warning is issued and model fitting proceeds, but may fail)
 +  * added ''decreasing'' argument to ''selmodel()'' for enforcing that the delta estimates must be a monotonically decreasing function of the p-values in the step function model
 +  * added the undocumented argument ''pval'' to ''selmodel()'' for passing p-values directly to the function (doing this is highly experimental)
 +  * some internal refactoring of the code
 +  * improved the documentation a bit
  
 ==== Version 4.4-0 (2023-09-27) ==== ==== Version 4.4-0 (2023-09-27) ====
updates.txt · Last modified: 2024/03/29 09:58 by Wolfgang Viechtbauer