Prior-class {adoptr} | R Documentation |
A Prior
object represents a prior distribution on the single model
parameter of a DataDistribution
class
object.
Together a prior and data-distribution specify the class of the joint
distribution of the test statisic, X, and its parameter, theta.
Currently, adoptr only allows simple models with a single parameter.
Implementations for PointMassPrior and ContinuousPrior are available.
For an example on working with priors, see here.
For the available methods, see bounds
,
expectation
, condition
, predictive_pdf
,
predictive_cdf
, posterior
disc_prior <- PointMassPrior(c(0.1, 0.25), c(0.4, 0.6)) cont_prior <- ContinuousPrior( pdf = function(x) dnorm(x, mean = 0.3, sd = 0.2), support = c(-2, 3) )