pool_comparisons: Pool contrasts and comparisons from 'test_predictions()'

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

Pool contrasts and comparisons from test_predictions()

Description

This function "pools" (i.e. combines) multiple ggcomparisons objects, returned by test_predictions(), in a similar fashion as mice::pool().

Usage

pool_comparisons(x, ...)

Arguments

x	A list of ggcomparisons objects, as returned by test_predictions().
...	Currently not used.

Details

Averaging of parameters follows Rubin's rules (Rubin, 1987, p. 76).

Value

A data frame with pooled comparisons or contrasts of predictions.

References

Rubin, D.B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: John Wiley and Sons.

Examples

data("nhanes2", package = "mice")
imp <- mice::mice(nhanes2, printFlag = FALSE)
comparisons <- lapply(1:5, function(i) {
  m <- lm(bmi ~ age + hyp + chl, data = mice::complete(imp, action = i))
  test_predictions(m, "age")
})
pool_comparisons(comparisons)

ggeffects documentation built on Sept. 12, 2024, 7:41 a.m.