Get model parameters from estimated marginal means objects — get

Returns the coefficients from a model.

Usage

# S3 method for class 'emmGrid'
get_parameters(x, summary = FALSE, merge_parameters = FALSE, ...)

Arguments

x: A fitted model.
summary: Logical, indicates whether the full posterior samples (summary = FALSE)) or the summarized centrality indices of the posterior samples (summary = TRUE)) should be returned as estimates.
merge_parameters: Logical, if TRUE and x has multiple columns for parameter names (like emmGrid objects may have), these are merged into a single parameter column, with parameters names and values as values.
...: Currently not used.

Value

A data frame with two columns: the parameter names and the related point estimates.

Note

Note that emmGrid or emm_list objects returned by functions from emmeans have a different structure compared to usual regression models. Hence, the Parameter column does not always contain names of variables, but may rather contain values, e.g. for contrasts. See an example for pairwise comparisons below.

Examples

data(mtcars)
model <- lm(mpg ~ wt * factor(cyl), data = mtcars)

emm <- emmeans(model, "cyl")
#> NOTE: Results may be misleading due to involvement in interactions
get_parameters(emm)
#>   cyl Estimate
#> 1   4 21.40330
#> 2   6 19.46455
#> 3   8 16.81441

emm <- emmeans(model, pairwise ~ cyl)
#> NOTE: Results may be misleading due to involvement in interactions
get_parameters(emm)
#>     Parameter  Estimate Component
#> 1           4 21.403304   emmeans
#> 2           6 19.464549   emmeans
#> 3           8 16.814408   emmeans
#> 4 cyl4 - cyl6  1.938755 contrasts
#> 5 cyl4 - cyl8  4.588896 contrasts
#> 6 cyl6 - cyl8  2.650141 contrasts