prediction_margins function

prediction methods

Methods to compute the predictions and the marginal effects for tobit1 objects

## S3 method for class 'mhurdle'
prediction(
  model,
  data = find_data(model, parent.frame()),
  at = NULL,
  what = c("E", "Ep", "p"),
  vcov = stats::vcov(model),
  calculate_se = FALSE,
  ...
)

Arguments

• model: a model fitted using mhurdle
• data, at, vcov, calculate_se: see prediction::prediction
• what: see mhurdle:::predict.mhurdle
• ...: further arguments, especially, a what argument can be provided and will be passed to predict

Details

tobit1 exports the prediction::prediction and margins::margins functions. prediction use the predict

method to compute the predictions in a "tidy way", it returns the data frame provided for the predictions augmented by the predictions. margins compute the average marginal effect of every covariate. It uses the numerical derivatives of the predictions using the prediction function.