Message-ID: <06166B4F-1749-4718-87BD-5EEFE9D8BA17@me.com>
Date: 2018-06-19T12:52:09Z
From: Cesar Terrer Moreno
Subject: [R-meta] Partial dependence plots
Dear all,
I have a mixed-effects model of the form:
M <- rma(yi, vi, dat, mods= ~ A*B + C + D)
How can I produce partial dependence plots of e.g. C and D (predicted effect sizes of C and D as a function of the value of each predictor variable). The idea is to show that once the interaction A*B is taken into account, C and D explain very little of the overall effect size.
Can this be coded into a function to make partial dependence plots for all variables?
Thanks
C?sar