add_predicted_sims.RdGenerate simulations
from a fit model incorporating either error in
prediction error. Simulations explore the possible space
of what a model might predict rather than an interval for use
in comparison to Bayesian posteriors for non-Bayesian models. The
output format and functions draw inspiration from the
tidybayes::tidybayes() library and
merTools::predictInterval()
add_predicted_sims(newdata, mod, n_sims = 1000, seed = NULL, ...)a data.frame of new data to predict
An model to simulate from.
number of simulation samples to construct
numeric, optional argument to set seed for simulations
Additional arguments to prediction simulation method.
A tibble::tibble() with information about simulate values.