density_at: Density Probability at a Given Value

In bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Density Probability at a Given Value

Description

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).

Usage

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)
density_at(posterior, c(0, 1))

bayestestR documentation built on April 7, 2023, 5:09 p.m.