Posterior predictive simulation — posterior

Generate replicated outcomes from an estimated BayesRTMB model. Regression wrappers provide an automatic simulator. For a custom model, supply an `rtmb_code()` object containing a `generate` block that creates and reports one replicated outcome vector. MCMC and variational fits use posterior draws. A MAP fit uses sampling-based uncertainty when available and otherwise conditions on its point estimate.

Usage

posterior_predict(object, ...)

# S3 method for class 'RTMB_Fit_Base'
posterior_predict(object, ...)

Arguments

object: A BayesRTMB fit object.
...: Arguments passed to the fit object's `posterior_predict()` method.

Value

A numeric matrix with posterior predictive draws in rows and observations in columns.