Questions tagged [r-marginaleffects]
marginaleffects is an R package for computing and plotting adjusted predictions, contrasts, marginal effects, and marginal means.
r-marginaleffects
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marginaleffects R package: correct syntax for predictions function using map
I am trying to compute predictions using the R::marginaleffects package. I would like to do this several times for specific predictor variables of interest, within a map / apply like function, but am ...
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Different outputs of marginaleffects::avg_prediction and ggeffects::ggeffect in R
I am running multinomial regression using nnet::multinom for a dataset where response and predictors are all factors. A sample of my data:
df2 = structure(list(SOURC = c("dsint", "dsint&...
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NA values when using avg_predictions() from marginaleffects with a flexsurv model
I'm unsure why I do not get standard errors or confidence intervals when I fit parametric survival models and compute the predicted mean survival times using the avg_predictions(). I tried using ...
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Negative average marginal effect for positive estimate in ordinal logistic regression [migrated]
I'm running an ordinal logistic regression with eight indepdent variables and the dependent variable has five categories (1 = Not at all and 5 = To a great extent). To interpret the coefficient ...
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How to calculate confidence interval using the delta method in R? [migrated]
I'm trying (struggling) to calculate the delta method for a confidence method in R. Does anyone know how to do it? Any advice would be most welcome.
In the literature, there's a simple IV/2SLS model ...
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Calculating Marginal Effects for 'endorse' models?
I am attempting to find the marginal effects for each covariate in the model:
endorseFULL <- endorse(Y = Y, data = data_slvk, identical.lambda = FALSE, covariates = TRUE, formula.indiv = formula( ~ ...
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Delta method confidence interval from 2SLS regression (with FE) using fixest and marginaleffects packages - Get NAs
I'm trying to find the confidence interval with the delta method using avg_comparisons() with the fixest feols() function for a 2SLS/IV + FE regression.
My specification has only one independent ...
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Joint hypothesis test with marginaleffects::hypotheses from a nnet::multinom object
I have a multinomial logistic regression model, fitted with nnet::multinom(). My outcome has three categories and I have used one predictor in the model. Ultimately I want to jointly test the null ...
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Marginal effects contrasts in R: replicating rms::contrast and simultaneous confidence intervals
Im trying to replicate the rms::contrast function using the marginaleffects package in R, but am having difficulties. Particularly, I would like to request simultaneous confidence intervals for ...
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Setting user-specified values in plot_comparisions from marginal effects in R
I am using the marginaleffects package in R to analyze some results from a conjoint experiment.
I've created a model object that is in the form of model = svyglm(dv ~ attribute1*...
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`marginaleffects` error: Matrix columns are not supported
Summary
I am trying to using marginaleffects::plot_predictions() to plot predictions from a GLMM. A minimal working example is provided below.
The aim
I'm trying to plot the predictions only for the ...
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{marginaleffects} Average plot with plot_predictions() for alle clusters of a multi level model
I want to display a plot that shows the predictions of a lme4 model over all clusters, but I just get a plot for the mode cluster
I have the following model and I want to know how "satislife"...
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Issues with Interaction Terms in slopes() Function from marginaleffects
I am using the marginaleffects package in R to calculate marginal effects from a multinomial logistic regression model (MNL) that includes an interaction term. I want to calculate the Marginal Effects ...
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How to replicate Stata 'margins at' command to interpret interaction effects using marginaleffects package in R?
I am trying to replicate some Stata code that uses average marginal effects to interpret interaction effects in R.
Suppose I am using the mtcars dataset to estimate the average miles/gallon mpg of a ...
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Diagnostic of marginal effects from a brms model
I'm using marginaleffects to compute the marginal treatment effects from a Bayesian logit model fit using brms:
fit <- brm(y ~ (treat|state) + treat + age + sex + race, family = "bernoulli&...
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