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I'm trying to understand what's the source of difference between the confidence intervals (CIs) are generated/plotted by margins() and what I see if I get the the dx/dy from `marginal_effects()` and t…
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Request to implement effects visualization for summary.bifeAPEs from get_APEs()
```
library(bife)
test % mutate(LengthDummy= if_else(Sepal.Length>5, "Long", "Short") %>% as_factor(.)) %>%
…
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Hi Matteo,
I am running a two-step analysis:
1. I estimate average marginal effects (i.e. derivatives at the response scale) from several binomial model (fitted with mgcv::gam()).
2. I want to…
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In Bambi which uses PyMC3, it's possible to plot a smoothed histogram (using kernel density estimation) of the marginal posteriors of each stochastic random variable. For example see https://docs.pymc…
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First of all, I thank those who, by dedicating themselves to the development of this project, let the passion behind this immense and excellent work pass. Having said this, I would like to forward my …
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Trying to merge enhancements to summary_col that did not look very large, but ended up to get messy because of a non-trivial structure of the code.
see #9282
There are several other issues and pul…
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Dear Prof.,
Is there any post-estimation command to bayesmixedlogitwtp that can help in looking at marginal effects (the way margins is there after clogit)? Also, how can we measure compensating vari…
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Hi Lizzie @lizzieinvancouver,
I have been running the models you gave me.
I am unsure which function I should use to plot the fit. I was thinking of using the sjPlot package but I cannot get the`…
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# Ground Truth
To test the validity of a method, it's important to simulate data and test the results against the ground truth. Currently, the ground truth can be obtained via ```UnfoldSim.simulate_r…
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Currently the `plot_bayesian_cdi` function shows the re-scaled raw coefficients for a fixed-effect and the marginal effect for all other variable types. Suggest showing raw coefs for random-effects to…