Full inverse forward sampling supported SBC

Usage

ifs_SBC(
  fit,
  n_sims,
  ppred_data_gen,
  precon_sample = NULL,
  lb = NULL,
  ub = NULL,
  truncate = FALSE,
  post_warmup_samples = 1000,
  ...
)

Arguments

fit: brmsfit object that is used to generate SBC datasets and fit SBC models
n_sims: Number of SBC simulations/datasets.
ppred_data_gen: Function that generates the data for the newdata argument of posterior_predict to generate SBC datasets.
precon_sample: The dataset that was used to precondition the fit.
lb: Lower bound for the outcome. Is used to resample.
ub: Upper bound for the outcome. Is used to resample.
truncate: If TRUE, will truncate outcome values, if FALSE, will resample instead.
post_warmup_samples: Is passed to the sbc model updates and used to make sure resampling only uses valid samples. Increase in case of numerical instability.
...: further parameters. Currently only passed to ppred_data_gen.