-
The current implementation of `sgkit.genee` only covers one special case of genee. The method does not perform the regularization of genee. In the current implementation, it is expected that regulariz…
-
Hi, and thanks for developing an maintaining this great package!
I ran into an issue with colors today, plotting marginal effects for a three way interaction. In a model of a two way interaction be…
-
Hello Dr. Phillippo,
Thanks again for your help with addressing issue #43 (where aux_regression terms were not always included in the predict function). I'd like to report a similar issue with rela…
-
Hi all,
As most of you know, I recently released {marginaleffects}, a package with functionality that overlaps and (I think/hope) complements {modelbased} and {ggeffects}:
https://vincentarelbun…
-
Hi and thank you for the amazing and helpful work!
I tried to use plot_model on a model I created using MuMIn model.avg function and it returns an error "Can't compute marginal effects, 'effects::E…
-
Would be cool to support logistic regression, so we could implement the unconditional logit estimator described in [Stamann et al:](https://www.econstor.eu/bitstream/10419/145837/1/VfS_2016_pid_6909.p…
-
Currently trying to use `ggeffects` for a `mmblogit` object from the `mclogit` package, but the following messages are being shown:
```
> ggeffects::ggeffect(model.example)
Can't compute marginal…
-
Main effects and filter the data by interactions. Have we done this? Filter prior to estimation or prediction, dummy coding vs. index coding. Fix the irrelevant attributes?
- outcome ~ transparency…
-
Thanks for this very useful package. FYI, I am using it to adjust the weights on the Current Population Survey to take account of the introduction of the 2020 Census population controls.
I've use…
-
Having added summary tables to AR, ARIMA, and now marginal effects for discrete choice variables, I have to say that doing this is brutally difficult and rather annoying. There's got to be a better wa…