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--- updates [2023/03/20 08:27] – Wolfgang Viechtbauer
+++ updates [2023/05/09 06:25] – Wolfgang Viechtbauer
@@ Line 2: / Line 2: @@
 On this page, you can find a description of the (recent) updates to the metafor package. Older updates are archived [[updates_old|here]].
+==== Version 4.2-0 (2023-05-08) ====
+  * improved the various plotting functions so they respect ''par("fg")''; as a result, one can now create plots with a dark background and light plotting colors
+  * also allow two or three values for ''xlab'' in the various ''forest()'' functions (for adding labels at the ends of the x-axis limits)
+  * better default choices for ''xlim'' in the various ''forest()'' functions; also, argument ''ilab.xpos'' is now optional when using the ''ilab'' argument
+  * added ''shade'' and ''colshade'' arguments to the various ''forest()'' functions
+  * the various ''forest()'' functions no longer enforce that ''xlim'' must be at least as wide as ''alim''
+  * added ''link'' argument to ''rma.glmm()''
+  * ''rma.glmm()'' with ''measure="OR", model="CM.EL", method="ML"'' now treats tau^2 values below 1e-04 effectively as zero before computing the standard errors of the fixed effects; this helps to avoid numerical problems in approximating the Hessian; similarly, ''selmodel()'' now treats tau^2 values below 1e-04 or min(vi/10) effectively as zero before computing the standard errors
+  * for measure ''SMCC'', can now specify d-values, t-test statistics, and p-values via arguments ''di'', ''ti'', and ''pi''
+  * functions that issue a warning when omitting studies due to NAs now indicate how many were omitted
+  * properly documented the ''level'' argument
+  * added a few more transformation functions
+  * small bug fixes
+  * improved the documentation a bit
 ==== Version 4.0-0 (2023-03-19) ====
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   * added more tests (also for parallel operations); also, all tests updated to use proper tolerances instead of rounding
   * reorganized the documentation a bit
-==== 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
 ==== Older Versions ====