Differences

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--- updates_old [2023/04/25 19:48] – [Version 1.5-0 (2010-12-16)] Wolfgang Viechtbauer
+++ updates_old [2023/05/09 06:26] – Wolfgang Viechtbauer
@@ Line 2: / Line 2: @@
 Older updates of the metafor package are archived on this page. More recent updates can be found [[updates|here]].
+==== Version 2.0-0 (2017-06-22) ====
+  * added ''simulate()'' method for ''rma'' objects; added ''MASS'' to ''Suggests'' (since simulating for ''rma.mv'' objects requires ''mvrnorm()'' from ''MASS'')
+  * ''cooks.distance.rma.mv()'' now works properly even when there are missing values in the data
+  * ''residuals()'' gains ''type'' argument and can compute Pearson residuals
+  * the ''newmods'' argument in ''predict()'' can now be a named vector or a matrix/data frame with column names that get properly matched up with the variables in the model
+  * added ''ranef.rma.mv()'' for extracting the BLUPs of the random effects for ''rma.mv'' models
+  * all functions that repeatedly refit models now have the option to show a progress bar
+  * added ''ranktest.default()'', so user can now pass the outcomes and corresponding sampling variances directly to the function
+  * added ''regtest.default()'', so user can now pass the outcomes and corresponding sampling variances directly to the function
+  * ''funnel.default()'' gains ''subset'' argument
+  * ''funnel.default()'' and ''funnel.rma()'' gain ''col'' and ''bg'' arguments
+  * ''plot.profile.rma()'' gains ''ylab'' argument
+  * more consistent handling of ''robust.rma'' 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
+  * ''escalc()'' can now compute outcome measures based on paired binary data (''"MPRR"'', ''"MPOR"'', ''"MPRD"'', ''"MPORC"'', and ''"MPPETO"'')
+  * ''escalc()'' can now compute (semi-)partial correlation coefficients (''"PCOR"'', ''"ZPCOR"'', ''"SPCOR"'')
+  * ''escalc()'' can now compute measures of variability for single groups (''"CVLN"'', ''"SDLN"'') and for the difference in variability between two groups (''"CVR"'', ''"VR"''); also the log transformed mean (''"MNLN"'') has been added for consistency
+  * ''escalc()'' can now compute the sampling variance for ''measure="PHI"'' for studies using stratified sampling (''vtpye="ST"'')
+  * the ''`[`'' method for ''escalc'' objects now properly handles the ''ni'' and ''slab'' attributes and does a better job of cleaning out superfluous variable name information
+  * added ''rbind()'' method for ''escalc'' objects
+  * added ''as.data.frame()'' method for ''list.rma'' objects
+  * added a new dataset (''dat.pagliaro1992'') for another illustration of a network meta-analysis
+  * added a new dataset (''dat.laopaiboon2015'') on the effectiveness of azithromycin for treating lower respiratory tract infections
+  * ''rma.uni()'' and ''rma.mv()'' now check if the ratio of the largest to smallest sampling variance is very large; results may not be stable then (and very large ratios typically indicate wrongly coded data)
+  *  model fitting functions now check if extra/superfluous arguments are specified via ''...'' and issues are warning if so
+  * instead of defining own generic ''ranef()'', import ''ranef()'' from ''nlme''
+  * improved output formatting
+  * added more tests (but disabled a few tests on CRAN to avoid some issues when R is compiled with ''%%--%%disable-long-double'')
+  * some general code cleanup
+  * renamed ''diagram_metafor.pdf'' vignette to just ''diagram.pdf''
+  * minor updates in the documentation
 ==== Version 1.9-9 (2016-09-25) ====