simulate.B2DistHyper: Simulates a B2DistHyper distribution

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Simulates a B2DistHyper distribution

Description

Simulates a B2DistHyper distribution

Usage

## S3 method for class 'B2DistHyper'
simulate(
  object,
  nsim = 1,
  seed = NULL,
  density = object$density,
  basis = object$basis,
  paramSimulator = object$paramSimulator,
  simulator = object$simulator,
  hyperparameters = object$hyperparameters,
  ...
)

Arguments

object	an B2DistHyper object as returned from B2DistHyper
nsim	the number of simulations
seed	a seed eventually to be set before the simulation (use with care!)
density	A function that can be called with a vectorized x of data values of the BayesSpace and parameters, to calculate a density.
basis	A BayesSpaceBasis (or an object that can be converted to one) of BayesSpace containing the values of the distribution (of distributions).
paramSimulator	A function to be called without arguments to simulate one set of parameters.
simulator	A function that can be called with an integer n and the parameters to create n random simulations.
hyperparameters	the list of parametrs to be given to the the parameterSimulator
...	futher unused parameters, required to fullfill the generic definition of simulate

Value

A [BDataDensities] following the given distribution.

See Also

[stats::simulate]

Examples

D = B2DistHyper(dbeta,B2Unif01Basis5,function() rexp(2),simulator=rbeta)
simulate(D,4,seed=47)

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.