| PointMassPrior-class {adoptr} | R Documentation |
Univariate discrete point mass priors
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
thetacf. parameter 'theta'
masscf. parameter 'mass'
See Also
To represent continuous prior distributions use ContinuousPrior.
Examples
PointMassPrior(c(0, .5), c(.3, .7))
[Package adoptr version 1.0.1 Index]