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Questions - marginal-effects

How to plot interaction effects with individual-level variable and individual fixed-effects?

I have a dataset with individual id (factor), time t (factor), a dependent variable y (continuous) and an independent variable x (continuous), which can be measured at time t xt or can be set at the i...
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Marco Pastor Mayo

r

panel

lm

effects

marginal-effects

Votes: 0

Answers: 2

Latest Answer

A less cumbersome way to estimate the same models that you posted in the answer to your own question would be to use the colon notation: set.seed(100) df <- data.frame(id=as.factor(rep(1:20, each =...
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Vincent

Is there a way to subset data for Python statsmodels .get_margeff() like in R margins()?

I created a model using mnlogit() from statsmodels that looks something similar to this: formula = "Switch_Variable ~ Prior_Complication_categ * C(Prior_Delivery_Type) + C(RaceName) + C(Ethnicit...
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jk00010

python

subset

logistic-regression

statsmodels

marginal-effects

Votes: 0

Answers: 0

Can&#39;t see the confidence intervals in my Conditional Effects plot using the cplot() function from &quot;margins&quot; package in rstudio

I'm trying to make some conditional effects plot using the cplot() funcion from "margins" package, but the confidence intervals doesn't show up. I can only see the regression line. This is t...
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Adri&#225;n Enr&#237;quez

r

marginal-effects

Votes: 0

Answers: 0

Adjusted Predictions Tidymodels

Does anyone know how to use predictions() in the marginaleffects() package with tidymodels? In this toy example, I want to get the predicted values of the variable state while holding all other variab...
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mapleleaf

r

glmnet

tidymodels

marginal-effects

Votes: 0

Answers: 1

Latest Answer

Unfortunately, glmnet is not one of the supported models for marginaleffects. You can switch this to one of the supported models (like regular glm()) and this will work using extract_fit_engine(). lib...
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Julia Silge

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