PointMassPrior-class: Univariate discrete point mass priors

In adoptr: Adaptive Optimal Two-Stage Designs in R

Description

PointMassPrior is a sub-class of Prior representing a univariate prior over a discrete set of points with positive probability mass.

Usage

PointMassPrior(theta, mass, label = NA_character_)

Arguments

theta	numeric vector of pivot points with positive prior mass
mass	numeric vector of probability masses at the pivot points (must sum to 1)
label	object label (string)

Value

an object of class PointMassPrior, theta is automatically sorted in ascending order

Slots

theta

cf. parameter 'theta'

mass

cf. parameter 'mass'

See Also

To represent continuous prior distributions use ContinuousPrior.

Examples

PointMassPrior(c(0, .5), c(.3, .7))

adoptr documentation built on June 28, 2021, 5:11 p.m.