Compute the density value at a given point of a distribution (i.e., the value of the y axis of a value x of a distribution).

density_at(posterior, x, precision = 2^10, method = "kernel", ...)

Arguments

posterior

Vector representing a posterior distribution.

x

The value of which to get the approximate probability.

precision

Number of points of density data. See the n parameter in density.

method

Density estimation method. Can be "kernel" (default), "logspline" or "KernSmooth".

...

Currently not used.

Examples

library(bayestestR) posterior <- distribution_normal(n = 10) density_at(posterior, 0)
#> [1] 0.3687704
density_at(posterior, c(0, 1))
#> [1] 0.3687704 0.2509099