The posterior distributions created by perf_mod() can be used to obtain the posterior distribution of the difference(s) between models. One or more comparisons can be computed at the same time.

contrast_models(x, list_1 = NULL, list_2 = NULL, seed = sample.int(10000, 1))

Arguments

x

An object produced by perf_mod().

list_1, list_2

Character vectors of equal length that specify the specific pairwise contrasts. The contrast is parameterized as list_1[i] - list_2[i]. If the defaults are left to NULL, all combinations are evaluated.

seed

A single integer for sampling from the posterior.

Value

A data frame of the posterior distribution(s) of the difference(s). The object has an extra class of "posterior_diff".

Details

If a transformation was used when x was created, the inverse is applied before the difference is computed.