Hi, I would like to understand how to interpret the coefficient in a zero inflated poisson model. All my predictors are scaled. Given the output below:
Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Eff.Sample Intercept 0.75 0.21 0.31 1.12 4998 x 0.07 0.08 -0.08 0.22 11347
To interpret the estimate value of X, if it was a model with poisson link function, I would:
exp(0.07), subtract 1, and interpret the obtained number (0.072508) as:
“all other things being equal, if you increase the X of 1 unit the Y will increase of 7%” correct?
Do I interpret the zero inflated in the same way or I should apply some transformation?
Moreover the intercept estimate is 0.75 but in the marginal plot is around 1.6/1.7 (see figure). Why? What transformation was applied?
Thanks for any reply
- Operating System: Windows 10
- brms Version: 2.9.0