Evaluate a distribution property. The distribution itself is first searched for the property, and if it can't be found, will attempt to calculate the property from other entries.
Examples
d <- distribution(
cdf = \(x) (x > 0) * pmin(x^2, 1),
g = 9.81,
.vtype = "continuous"
)
eval_property(d, "g")
#> [1] 9.81
eval_property(d, "quantile", 1:9 / 10)
#> [1] 0.3162278 0.4472136 0.5477226 0.6324555 0.7071068 0.7745967 0.8366600
#> [8] 0.8944272 0.9486833
eval_property(d, "mean")
#> [1] NaN
eval_property(d, "realise", 10)
#> [1] 0.4518610 0.8446285 0.2553745 0.5951528 0.9084049 0.5232765 0.7550132
#> [8] 0.5794127 0.7721805 0.4376277
eval_property(d, "foofy")
#> NULL
eval_property(d, "foofy", 1:10)
#> NULL