Pool Predictions or Estimated Marginal Means
This function "pools" (i.e. combines) multiple ggeffects objects, in
a similar fashion as mice::pool().
pool_predictions(x, ...)
Averaging of parameters follows Rubin's rules (Rubin, 1987, p. 76).
A data frame with pooled predictions.
Rubin, D.B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: John Wiley and Sons.
# example for multiple imputed datasets
if (require("mice")) {
data("nhanes2")
imp <- mice(nhanes2, printFlag = FALSE)
predictions <- lapply(1:5, function(i) {
m <- lm(bmi ~ age + hyp + chl, data = complete(imp, action = i))
ggpredict(m, "age")
})
pool_predictions(predictions)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.