#metafor — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #metafor, aggregated by home.social.
-
Vi lever i en ugn som redan är för varm. Varje biltur till affären medför att värmen skruvas upp. Oavsett var i ugnen du befinner dig är höjd temperatur ett problem, oavsett temperaturskillnader högst upp och längst ner. #klimatkris #metafor
-
@aral
:loading: I was waiting for this exterior view, Aral.
Thank YOU for providing it.
The view from the lobby interior didn't show enough detail of Elon's folly exploding in front of Trump's gaucherie, and those views were all that were being posted earlier
Haven't heard yet if any raccoons were injured in this incident. :loading:
#ExplodingCyberTruck #LasVegas #Musk #Trump #Irony #Symbolism #Metafor #GuillotineJones -
@aral
:loading: I was waiting for this exterior view, Aral.
Thank YOU for providing it.
The view from the lobby interior didn't show enough detail of Elon's folly exploding in front of Trump's gaucherie, and those views were all that were being posted earlier
Haven't heard yet if any raccoons were injured in this incident. :loading:
#ExplodingCyberTruck #LasVegas #Musk #Trump #Irony #Symbolism #Metafor #GuillotineJones -
Kinda excited about some additions to the metafor package I am working on. Can now visualize the entire predictive distribution in a forest plot (in addition to showing the prediction interval itself).
-
Kinda excited about some additions to the metafor package I am working on. Can now visualize the entire predictive distribution in a forest plot (in addition to showing the prediction interval itself).
-
For those interested in meta-analysis and R (and in particular the metafor package):
I will do another special live stream on this topic on November 30th (6pm CET), where I will discuss in detail how to draw nice forest plots with the metafor package. Further details about my live streams here: https://www.wvbauer.com/doku.php/live_streams
-
For those interested in meta-analysis and R (and in particular the metafor package):
I will do another special live stream on this topic on November 30th (6pm CET), where I will discuss in detail how to draw nice forest plots with the metafor package. Further details about my live streams here: https://www.wvbauer.com/doku.php/live_streams
-
Quick reminder for those into R, statistics, and in particular meta-analysis:
On the 'Open Online R Stream' tonight (starting at 6pm CEST), I will talk about some of the recent updates to the metafor package. This will actually be the 100th stream, which in itself is a reason for some celebration.
Further details about these live streams can be found here: https://www.wvbauer.com/doku.php/live_streams
-
Quick reminder for those into R, statistics, and in particular meta-analysis:
On the 'Open Online R Stream' tonight (starting at 6pm CEST), I will talk about some of the recent updates to the metafor package. This will actually be the 100th stream, which in itself is a reason for some celebration.
Further details about these live streams can be found here: https://www.wvbauer.com/doku.php/live_streams
-
I released a new version (4.4-0) of the metafor package on CRAN. Details about the updates can be found here: https://www.metafor-project.org/doku.php/news:news
For the 100th 'Open Online R Stream' (my semi-weekly live stream on R and statistics), I will do a special session on the updates in this version, with focus on how to draw nice forest plots. This session will take place on Oct 19th, starting at 6pm CEST. Details about these live streams here: https://www.wvbauer.com/doku.php/live_streams
-
I released a new version (4.4-0) of the metafor package on CRAN. Details about the updates can be found here: https://www.metafor-project.org/doku.php/news:news
For the 100th 'Open Online R Stream' (my semi-weekly live stream on R and statistics), I will do a special session on the updates in this version, with focus on how to draw nice forest plots. This session will take place on Oct 19th, starting at 6pm CEST. Details about these live streams here: https://www.wvbauer.com/doku.php/live_streams
-
1/ One of the things that has always bothered me about the forest() functions in the metafor package is the fact that the annotations (i.e., the numbers on the right) are by default not properly aligned. Here is a (purposefully exaggerated) example to illustrate the problem (the vertical gray lines are added to see this more clearly).
-
1/ One of the things that has always bothered me about the forest() functions in the metafor package is the fact that the annotations (i.e., the numbers on the right) are by default not properly aligned. Here is a (purposefully exaggerated) example to illustrate the problem (the vertical gray lines are added to see this more clearly).
-
1/3 I have given some love to the fsn() function in the metafor package. It can now calculate the 'fail-safe N' also under the assumptions of a random-effects model (using type="General"). This is a generalization of the methods by Orwin (1983) and Rosenberg (2005) (which are both based on the equal-effects model). See the documentation and some examples here:
-
1/3 I have given some love to the fsn() function in the metafor package. It can now calculate the 'fail-safe N' also under the assumptions of a random-effects model (using type="General"). This is a generalization of the methods by Orwin (1983) and Rosenberg (2005) (which are both based on the equal-effects model). See the documentation and some examples here:
-
Now in the (development) version of the metafor package: When setting setmfopt(theme="auto"), plots created by the package will adhere to the chosen RStudio theme for a nice and consistent look when working interactively.
-
Now in the (development) version of the metafor package: When setting setmfopt(theme="auto"), plots created by the package will adhere to the chosen RStudio theme for a nice and consistent look when working interactively.
-
Working on a neat little feature in the metafor package so that plots created automatically respect the theme used in RStudio.
-
Working on a neat little feature in the metafor package so that plots created automatically respect the theme used in RStudio.
-
New version of the metafor package is out (4.2-0).
https://www.metafor-project.org/doku.php/news:news
There were a few minor little buglets that annoyed me that I wanted to get rid of right away. Along the way, I made a few other improvements. The one I am most excited about is the possibility to create plots with a dark background and light colors. I prefer my IDE in dark mode, so creating a plot no longer feels like starring directly into the sun.
-
New version of the metafor package is out (4.2-0).
https://www.metafor-project.org/doku.php/news:news
There were a few minor little buglets that annoyed me that I wanted to get rid of right away. Along the way, I made a few other improvements. The one I am most excited about is the possibility to create plots with a dark background and light colors. I prefer my IDE in dark mode, so creating a plot no longer feels like starring directly into the sun.
-
Since nobody asked for this, I have added the possibility to easily create dark mode plots of all the types of plots that can be created with the metafor package:
https://wviechtb.github.io/metafor/reference/misc-options.html#dark-mode-for-plots
-
Since nobody asked for this, I have added the possibility to easily create dark mode plots of all the types of plots that can be created with the metafor package:
https://wviechtb.github.io/metafor/reference/misc-options.html#dark-mode-for-plots
-
Just gave my talk about 'Location-scale models for meta-analysis using the metafor package' as part of the Evidence Synthesis & Meta-Analysis in R Conference. The talk is part of this session:
https://www.youtube.com/watch?v=2VBEE9k814I
(my talk starts somewhere around 19:30, but you should watch the entire session - all really interesting talks!). The slides and R code for my presentation are available here: https://www.wvbauer.com/doku.php/presentations
-
Just gave my talk about 'Location-scale models for meta-analysis using the metafor package' as part of the Evidence Synthesis & Meta-Analysis in R Conference. The talk is part of this session:
https://www.youtube.com/watch?v=2VBEE9k814I
(my talk starts somewhere around 19:30, but you should watch the entire session - all really interesting talks!). The slides and R code for my presentation are available here: https://www.wvbauer.com/doku.php/presentations
-
I am excited to announce the official (i.e., CRAN) release of version 4.0-0 of the metafor package. This will be the 30th update to the package after its initial release in 2009. Since then, the package has grown from a measly 4460 lines of code / 60 functions / 76 pages of documentation to a respectable 36879 lines of code / 330 functions / 347 pages of documentation. 1/9 #Rstats #MetaAnalysis #metafor
-
I am excited to announce the official (i.e., CRAN) release of version 4.0-0 of the metafor package. This will be the 30th update to the package after its initial release in 2009. Since then, the package has grown from a measly 4460 lines of code / 60 functions / 76 pages of documentation to a respectable 36879 lines of code / 330 functions / 347 pages of documentation. 1/9 #Rstats #MetaAnalysis #metafor
-
This article is now officially published:
Viechtbauer, W. & López-López, J. A. (2022). Location-scale models for meta-analysis. Research Synthesis Methods, 13(6), 697-715. https://doi.org/10.1002/jrsm.1562
It describes the use of location-scale models in meta-analysis. These are meta-regression models that can have not only predictors for the size of the effect, but also for the amount of heterogeneity (often denoted tau^2).
-
This article is now officially published:
Viechtbauer, W. & López-López, J. A. (2022). Location-scale models for meta-analysis. Research Synthesis Methods, 13(6), 697-715. https://doi.org/10.1002/jrsm.1562
It describes the use of location-scale models in meta-analysis. These are meta-regression models that can have not only predictors for the size of the effect, but also for the amount of heterogeneity (often denoted tau^2).
-
I have overhauled the documentation of the escalc() function in the metafor package (for calculating all kinds of different effect sizes or 'outcome measures' for a meta-analysis):
https://wviechtb.github.io/metafor/reference/escalc.html
It is now even more structured, using number and letter codes to make it easier to find a measure suitable for a particular meta-analysis. Yes, it's damn long, but it also computes 61 different measures (if I didn't miscount), so quite some documentation is required.
-
I have overhauled the documentation of the escalc() function in the metafor package (for calculating all kinds of different effect sizes or 'outcome measures' for a meta-analysis):
https://wviechtb.github.io/metafor/reference/escalc.html
It is now even more structured, using number and letter codes to make it easier to find a measure suitable for a particular meta-analysis. Yes, it's damn long, but it also computes 61 different measures (if I didn't miscount), so quite some documentation is required.
