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--- updates [2021/06/09 12:58] – Wolfgang Viechtbauer
+++ updates [2021/10/13 10:28] – Wolfgang Viechtbauer
@@ Line 5: / Line 5: @@
 ==== Version 3.0-2 (2021-06-02) ====
-  * the metafor package now makes use of the ''mathjaxr'' package to nicely render equations shown in the HTML help pages
+  * the ''metafor'' package now makes use of the ''mathjaxr'' package to nicely render equations shown in the HTML help pages
   * ''rma()'' can now also fit location-scale models
   * added ''selmodel()'' for fitting a wide variety of selection models (and added the corresponding ''plot.rma.uni.selmodel()'' function for drawing the estimated selection function)
@@ Line 157: / Line 157: @@
   * 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
+  * renamed ''diagram_metafor.pdf'' vignette to just ''diagram.pdf''
   * minor updates in the documentation
 ==== Version 1.9-9 (2016-09-25) ====
-  * started to use git as version control system, GitHub to host the repository (https://github.com/wviechtb/metafor) for the development version of the package, Travis CI as continuous integration service (https://travis-ci.org/wviechtb/metafor), and Codecov for automated code coverage reporting (https://codecov.io/github/wviechtb/metafor)
+  * started to use git as version control system, GitHub to host the repository (https://github.com/wviechtb/metafor) for the development version of the package, Travis CI as continuous integration service (https://travis-ci.org/wviechtb/metafor), and Codecov for automated code coverage reporting (https://app.codecov.io/gh/wviechtb/metafor)
   * argument ''knha'' in ''rma.uni()'' and argument ''tdist'' in ''rma.glmm()'' and ''rma.mv()'' are now superseded by argument ''test'' in all three functions; for backwards compatibility, the ''knha'' and ''tdist'' arguments still work, but are no longer documented
   * ''rma(yi, vi, weights=1, test="knha")'' now yields the same results as ''rma(yi, vi, weighted=FALSE, test="knha")'' (but use of the Knapp and Hartung method in the context of an unweighted analysis remains an experimental feature)