condition: Conditioning of prior distributions

In kkmann/badr: Optimal Binary Adaptive (Single-Arm) Designs in R

Description

Prior objects can be conditioned on lower or upper boundaries, intervals, or single values to restrict their support. Various shorthand notations are supported (see examples).

Usage

condition(prior, low = 0, high = 1)

## S4 method for signature 'Prior'
condition(prior, low = 0, high = 1)

prior %|% interval

## S4 method for signature 'Prior,numeric'
prior %|% interval

Arguments

prior	Prior distribution object representing a prior on the unit interval [0,1]
low	[optional] lower boundary to condition on
high	[optional] upper boundary to condition on

See Also

Prior, updating for Bayesian updating

Examples

badr::load_julia_package()

load_julia_package()
condition(Beta(2, 3), low = 0.2)
condition(Beta(2, 3), high = 0.9)
condition(Beta(2, 3), low = 0.2, high = 0.9)

Beta(5, 7) %|% c(0.2, 0.7) # shorthand for conditioning on interval
Beta(5, 7) %|% 0.5 # condition on single point

Beta(5, 7) <= 0.5 # = condition(Beta(5, 7), high = 0.5)
0.2 <= Beta(5, 7) # = condition(Beta(5, 7), low = 0.2)

kkmann/badr documentation built on Oct. 18, 2020, 5:22 p.m.