bounds: Get support of a prior or data distribution

In kkmann/otsd: Adaptive Optimal Two-Stage Designs in R

Get support of a prior or data distribution

Description

bounds() returns the range of the support of a prior or data distribution.

Usage

bounds(dist, ...)

## S4 method for signature 'PointMassPrior'
bounds(dist, ...)

## S4 method for signature 'ContinuousPrior'
bounds(dist, ...)

Arguments

dist	a univariate distribution object
...	further optional arguments

Value

numeric of length two, c(lower, upper)

Examples

bounds(PointMassPrior(c(0, .5), c(.3, .7)))
# > 0.3 0.7

bounds(ContinuousPrior(function(x) dunif(x, .2, .4), c(.2, .4)))
# > 0.2 0.4

kkmann/otsd documentation built on Feb. 3, 2024, 4:50 p.m.