View source: R/pool_predictions.R
pool_predictions | R Documentation |
This function "pools" (i.e. combines) multiple ggeffects
objects, in
a similar fashion as mice::pool()
.
pool_predictions(x, ...)
x |
A list of |
... |
Currently not used. |
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) }
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