dist_truncated {distributional}

Truncate a distribution

Description

Note that the samples are generated using inverse transform sampling, and the means and variances are estimated from samples.

Usage

dist_truncated(dist, lower = -Inf, upper = Inf)

Arguments

dist

The distribution(s) to truncate.

lower, upper

The range of values to keep from a distribution.

Examples

dist <- dist_truncated(dist_normal(2,1), lower = 0)

dist
mean(dist)
variance(dist)

generate(dist, 10)

density(dist, 2)
density(dist, 2, log = TRUE)

cdf(dist, 4)

quantile(dist, 0.7)

if(requireNamespace("ggdist")) {
library(ggplot2)
ggplot() +
  ggdist::stat_dist_halfeye(
    aes(y = c("Normal", "Truncated"),
        dist = c(dist_normal(2,1), dist_truncated(dist_normal(2,1), lower = 0)))
  )
}