Draw from the posterior predictive distribution — posterior

Draw from the posterior predictive distribution after fitting a model. You can draw from the posterior of the observed outcome \(y\) or the latent unobserved state \(z\).

# S4 method for class 'ubmsFit'
posterior_predict(
  object,
  param = c("y", "z"),
  draws = NULL,
  re.form = NULL,
  ...
)

Arguments

object: A fitted model of class ubmsFit
param: Either "y" for the observed outcome or "z" for the unobserved latent state
draws: An integer indicating the number of draws to return. The default and maximum number of draws is the size of the posterior sample.
re.form: If NULL, any estimated group-level parameters ("random effects") are included. If NA, they are ignored
...: Currently ignored

Value

A matrix of simulations from the posterior predictive distribution. If param = "z", the dimensions are draws by number of sites (or sites x primary periods in site-major order for dynamic models). If param = "y", the dimensions are draws by sites x observations (or sites x primary periods x observations for dynamic models).