Closed graemeblair closed 5 years ago
This PR adds support for bayesglm() regression for the sensitive item fit with response error models (both uniform and top-coded). This allows adding a weakly informative prior to address separation issues in the logit sensitive item fit.
This PR adds support for bayesglm() regression for the sensitive item fit with response error models (both uniform and top-coded). This allows adding a weakly informative prior to address separation issues in the logit sensitive item fit.