# Estimating marginal effects of offset in brms Poisson regression model

**URL:** <https://discourse.mc-stan.org/t/estimating-marginal-effects-of-offset-in-brms-poisson-regression-model/4463>\
**Category:** brms\
**Created:** [June 8, 2018, 7:08am UTC](https://discourse.mc-stan.org/t/estimating-marginal-effects-of-offset-in-brms-poisson-regression-model/4463 "2018-06-08T07:08:54Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![paul.buerkner](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/paul.buerkner/32/3303_2.png) [@paul.buerkner](https://discourse.mc-stan.org/u/paul.buerkner)\
**Post date:** [June 8, 2018, 7:41am UTC](https://discourse.mc-stan.org/t/estimating-marginal-effects-of-offset-in-brms-poisson-regression-model/4463/4 "2018-06-08T07:41:40Z")

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In this case, you can do the following:

```
me <- marginal_effects(m1, conditions = data.frame(population = 100000))
str(me)
# transform me[[1]] etc. to your needs
plot(me)

```

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