add_fitted_sims: Generate fitted simulations from a fit model

In jebyrnes/sinterval: Generate Simulated Values from Models with Different Intervals of Uncertainty

Generate fitted simulations from a fit model

Description

Generate simulations from a fit model incorporating either error in fitted 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()

Usage

add_fitted_sims(newdata, mod, n_sims = 1000, seed = NULL, ...)

Arguments

newdata	a data.frame of new data to predict
mod	An model to simulate from.
n_sims	number of simulation samples to construct
seed	numeric, optional argument to set seed for simulations
...	Additional arguments to prediction simulation method.

jebyrnes/sinterval documentation built on March 18, 2023, 5:05 a.m.