The metafor Package

A Meta-Analysis Package for R

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updates [2019/05/25 18:04] – external edit 127.0.0.1updates [2021/01/24 16:43] 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 2.4-0 (2020-03-19) ====
 +
 +  * version jump to 2.4-0 for CRAN release (from now on, even minor numbers for CRAN releases, odd numbers for development versions)
 +  * the various ''forest()'' functions gain ''header'' argument
 +  * ''escalc()'' gains ''include'' argument
 +  * setting ''verbose=3'' in model fitting functions sets ''options(warn=1)''
 +  * ''forest.rma()'' and ''forest.default()'' now throw informative errors when misusing ''order'' and ''subset'' arguments
 +  * fixed failing tests due to the ''stringsAsFactors=FALSE'' change in the upcoming version of R
 +  * ''print.infl.rma.uni()'' gains ''infonly'' argument, to only show the influential studies
 +  * removed ''MASS'' from ''Suggests'' (no longer needed)
 +  * argument ''btt'' can now also take a string to grep for
 +  * added ''optimParallel'' as possible optimizer in ''rma.mv()''
 +  * added (for now undocumented) option to fit models in ''rma.glmm()'' via the ''GLMMadaptive'' package (instead of ''lme4''); to try this, use: ''control=list(package="GLMMadaptive")''
 +  * started to use numbering scheme for 'devel' version (the number after the dash indicates the devel version)
 +  * added ''contrmat()'' function (for creating a matrix that indicates which groups have been compared against each other in each row of a dataset)
 +  * added ''to.wide()'' function (for restructuring long format datasets into the wide format needed for contrast-based analyses)
 +  * ''I^2'' and ''H^2'' are also shown in output for fixed-effects models
 +  * argument ''grid'' in ''baujat()'' can now also be a color name
 +  * added (for now undocumented) ''time'' argument to more functions that are computationally expensive
 +  * added (for now undocumented) ''textpos'' argument to the various forest functions
 +  * added a new dataset (''dat.graves2010'')
 +  * added more tests
  
 ==== Version 2.1-0 (2019-05-13) ==== ==== Version 2.1-0 (2019-05-13) ====
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   * ''forest.cumul.rma()'' gains a ''col'' argument   * ''forest.cumul.rma()'' gains a ''col'' argument
   * ''funnel.default()'' and ''funnel.rma()'' can now take vectors as input for the ''col'' and ''bg'' arguments (and also for ''pch''); both functions also gain a ''legend'' argument   * ''funnel.default()'' and ''funnel.rma()'' can now take vectors as input for the ''col'' and ''bg'' arguments (and also for ''pch''); both functions also gain a ''legend'' argument
-  * ''addpoly()'' functions can now also show credibility interval bounds+  * ''addpoly()'' functions can now also show prediction interval bounds
   * removed 'formula interface' from ''escalc()''; until this actually adds some kind of extra functionality, this just makes ''escalc()'' more confusing to use   * removed 'formula interface' from ''escalc()''; until this actually adds some kind of extra functionality, this just makes ''escalc()'' more confusing to use
   * ''escalc()'' can now compute the coefficient of variation ratio and the variability ratio for pre-post or matched designs (''"CVRC"'', ''"VRC"'')   * ''escalc()'' can now compute the coefficient of variation ratio and the variability ratio for pre-post or matched designs (''"CVRC"'', ''"VRC"'')
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   * ''plot.profile.rma()'' gains ''ylab'' argument   * ''plot.profile.rma()'' gains ''ylab'' argument
   * more consistent handling of ''robust.rma'' objects   * more consistent handling of ''robust.rma'' objects
-  * added location-scale model 
   * added a print method for ''rma.gosh'' objects   * added a print method for ''rma.gosh'' objects
   * the (log) relative risk is now called the (log) risk ratio in all help files, plots, code, and comments   * the (log) relative risk is now called the (log) risk ratio in all help files, plots, code, and comments
updates.txt · Last modified: 2024/03/29 09:58 by Wolfgang Viechtbauer