Runs SBC for an EMC2 model and associated design. Returns normalized rank (between 0 and 1) and prior samples. For hierarchical models the group-level mean and the (implied) group-level (co-)variance are returned. For non-hierarchical models only the subject-level parameters rank is returned.
Usage
run_sbc(
design_in,
prior_in,
replicates = 250,
trials = 100,
n_subjects = 30,
plot_data = FALSE,
verbose = TRUE,
fileName = NULL,
...
)
Arguments
- design_in
An emc design list. The design of the model to be used in SBC
- prior_in
An emc prior list. The prior for the design to be used in SBC
- replicates
Integer. The number of samples to draw from the prior
- trials
Integer. The number of trials of the simulated data (per subject)
- n_subjects
Integer. Only used for hierarchical models. The number of subjects to be used in data generation of each replicate
- plot_data
Boolean. Whether to plot the data simulated (aggregated across subjects)
- verbose
Verbose. Whether to print progress related messages
- fileName
Character. Highly recommended, saves temporary results to the fileName
- ...
A list of optional additional arguments that can be passed to
fit
andmake_emc