Description Usage Arguments Details Value
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.
1  contrast_models(x, list_1 = NULL, list_2 = NULL, seed = sample.int(10000, 1))

x 
An object produced by 
list_1, list_2 
Character vectors of equal length that specify the
specific pairwise contrasts. The contrast is parameterized as

seed 
A single integer for sampling from the posterior. 
If a transformation was used when x
was created, the inverse is
applied before the difference is computed.
A data frame of the posterior distribution(s) of the difference(s).
The object has an extra class of "posterior_diff"
.
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