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
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))
[Package adoptr version 1.0.1 Index]