R/get_predictions_svyglmnb.R

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

get_predictions_svyglmnb <- function(model, fitfram, ci.lvl, linv, model_class, value_adjustment, terms, vcov.fun, vcov.type, vcov.args, condition, interval, ...) {
  # does user want standard errors?
  se <- !is.null(ci.lvl) && !is.na(ci.lvl)

  prdat <- stats::predict(
    model,
    newdata = fitfram,
    type = "link",
    se.fit = se,
    ...
  )

  # copy predictions
  .generic_prediction_data(model, fitfram, linv, prdat, se, ci.lvl, model_class, value_adjustment, terms, vcov.fun, vcov.type, vcov.args, condition, interval)
}