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.
Usage
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 toNULL
, all combinations are evaluated.- seed
A single integer for sampling from the posterior.