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--- todo [2019/07/23 14:24] – external edit 127.0.0.1
+++ todo [2021/06/09 14:34] – [Miscellaneous Features and Things To Do] Wolfgang Viechtbauer
@@ Line 47: / Line 47: @@
 At any rate, it would be nice to provide the option to create all figures and graphs in metafor using such alternative systems, especially given some of the limitations of the current approach (for a nice discussion of the underlying issue, see the article "What's in a Name: The Importance of Naming grid Grobs When Drawing Plots in R" by Paul Murrell in the [[http://journal.r-project.org/archive/2012-2/|R Journal, Volume 4/2, December 2012]].
-==== Selection Models ====
-I am considering adding at least some version of a selection model to the package. But then again, there are the [[http://cran.r-project.org/web/packages/metasens/index.html|metasens]] and [[http://cran.r-project.org/web/packages/selectMeta/index.html|selectMeta]] packages, so this isn't all that pressing. But I have some ideas based on a recent model proposed by [[http://www.air.org/person/martyna-citkowicz|Martyna Citkowicz]] and [[http://faculty.ucmerced.edu/jvevea/|Jack Vevea]] that I think would make for a nice addition, but I am waiting for the paper to appear in press to consider this is in more detail.
 ==== Diagnostic Meta-Analysis Models ====
@@ Line 64: / Line 60: @@
   * Make ''anova()'' work for ''rma.glmm'' objects.
-  * The ''rma()'' function may be extended to fit so-called 'location-scale' models at some point in the future. Just implementing this isn't really sufficient though -- most people wouldn't know what that even means or how it can be useful, so I would need to write an entire article about this method and illustrate its use.
+  * <del>The ''rma()'' function may be extended to fit so-called 'location-scale' models at some point in the future.</del> (DONE!)
   * <del>The ''rma.mv()'' function should allow for one (or multiple?) //continuous// ''inner'' variables in ''random = ~ inner | outer'' for modeling random slopes of moderator variables. This is especially relevant for meta-analyses examining 'dose-response' relationships (assuming there are studies examining the responses to more than two levels of a dose/exposure variable).</del> (DONE!)