- Operating System: Windows 10
- brms Version: 2.8.0
I do not understand how to interpret random slopes from the output of
despite reading the informative vignettes and the 2 following papers:
brms: An R Package for Bayesian Multilevel Models
Advanced Bayesian Multilevel Modeling
with the R Package brms
Among others, I read this post on the output from
lmer and I understood something about random slope interpretation.
However instead of
Variance in brms I have
Estimate, as for fixed factor!!.
This page also helped me a bit.
In the following example the variable “experience.Mom” has a positive estimate at the group level (random slope) which, if I understand correctly is always the case (why??), and a negative effect at the population level. (intervals are over the 0 so no clear effect anyhow).
What does my random slope
Estimate means? Why don’t I have a value for each level of my intercept? How does it influence my outcome variable (Y)?
I hope I explained myself, if what I ask is unclear please tell what to improve.
#Group level (random) Estimate Est.Error l-95% CI u-95% CI Eff.Sample sd(Intercept) 0.08 0.06 0.00 0.23 4323 sd(experience_Mom.z) 0.09 0.06 0.00 0.24 4831 cor(Intercept,experience_Mom.z) 0.00 0.57 -0.94 0.95 7528 # Population level (fixed) Estimate Est.Error l-95% CI experience_Mom.z -0.02 0.09 -0.20
Thank you for any explanation.