[R-meta] Plotting interaction effect from a rma.mv() fit

Dear Simon,

Not aware of any packages that interface with rma.mv, but this is
relatively easy to do by hand. Just use predict() with the newmods argument
to compute the predicted values as a function of 'time' for each level of
'outcome' and then create a plot with those lines.

Best,
Wolfgang

-----Original Message-----
From: R-sig-meta-analysis [mailto:

r-sig-meta-analysis-bounces at r-project.org] On

Behalf Of Simon Harmel
Sent: Tuesday, 16 March, 2021 5:25
To: R meta
Subject: [R-meta] Plotting interaction effect from a rma.mv() fit

Dear All,

Are there plotting packages (e.g., `effects::plot(allEffects())`,
`sjPlot::plot_model()`, `emmeans::emmip()`  ) to plot the predictions of a
say rma.mv() model?

For example, is it possible to plot the interaction effect below?

library(metafor)
dat <- read.csv("https://raw.githubusercontent.com/hkil/m/master/tst.csv

")

fit <- rma.mv(d ~ factor(outcome)*time, V = SE^2, random= ~1|id, data =

dat)