Closed bwiernik closed 3 years ago
The reg_weights_model
argument allows for user specification of the regression coefficients to be compared to the empirical model fitted values. This allows users to specify these outside of those use for the data generation process. If this argument isn't specified, the simulation based regression coefficients are used, this is the default behavior and most common use case.
In the tidy simulation vignette, several examples include a
reg_weights_model
argument. It's not clear to me what this argument is? I see thatreg_weights
is the weights for the data generating process, but doesn'tmodel_fit
just estimate weights based on the simulated sample? What does thereg_weights_model
argument do?