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Would be great to have the ability to show/calculate/store the marginal values of a table, when that is required.
Best,
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Example:
```python
data = {
'x': ["a", "a", "b", "b"],
'y': ["f", "g", "g", "g"],
}
ggplot(data, aes('x', 'y')) + \
geom_count() + \
ggmarginal('r', layer=geom_bar())
```
…
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When trying to display a marginal histogram combined with log_x = true, the histogram does not seem to get placed correclty.
Minimal reproducible example (plotly 5.4.0):
```
import plotly.express…
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request by FusionX
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I think adding "marginal" versions of the current hurdle models supported in brms would be extremely useful. Where "marginal" means that we model the effect of covariates on the overall outcome E(Y | …
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Goal:
- compare the marginal increase and decrease of death generated from 1% increase of `variant_acuity_multiplier` across 52 regions
- first to compare sensitivity of major costs [death + …
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Would be great to have ability to easily marginalize factors so that we could easily implement fixed lag smoother.
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@arteagac Very much thankful to you for this wonderful package. Is there a way to get the marginal effects or elasticities of the model variables?
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The reviewer has been wondering about the cause of medium-speed scenarios being more cost-effective than fast-speed scenarios. We initially speculated that this is a result of the marginal ICER as vac…
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Is it possible to add Estimated Marginal means to the Walrus ANOVA and the possibility to model interactions?