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Goal: detect incorrectly interpreting effects as marginally significant. Initial code below.
# Marginal significance
marginal_regex
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At the moment, calculating marginal effects for several subjects, channels, predictors etc. is rather time-consuming.
I think it would be worth checking whether there is optimization potential for th…
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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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I just saw a nice example in a paper that visualizes marginal effects and uncertainty over the ranges of the independent variables. Would be a nice, easy visualization addition to the marginal effects…
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Please specify whether your issue is about:
- [ x] a possible bug
- [ ] a question about package functionality
- [ ] a suggested code or documentation change, improvement to the code, or featu…
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I'm working on building a logistic regression model for an ordinal dependent variable and I'm using the OrderedModel from statsmodels.miscmodels.ordinal_model.
Maybe I'm just not seeing it right n…
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Hello there. This is such a great package - thank you for the work in creating it. I am curious about best practices for calculating average marginal effects for interaction terms while using errorsar…
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Hey Vincent, it's me, your favorite annoying American programmer!! :sweat_smile:
As I mentioned on Twitter, I just came up with an MLE implementation of ordbetareg using scipy. Estimation of margin…
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The package has no function that allows to calculate APE and AME. When I try to use the margins::margins() function, which calculates the aforementioned values for non-linear models (such as Logit and…
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The fixest code is all broken here: https://lost-stats.github.io/Presentation/Figures/marginal_effects_plots_for_interactions_with_categorical_variables.html
(Likely due to changes to `i()` introdu…