zim function

Fitting Zero-Inflated Models

zim is used to fit zero-inflated models.

zim(formula, data, subset, na.action, weights = 1, offset = 0,
  control = zim.control(...), ...)

Arguments

• formula: an objective of class "formula".
• data: an optional dataframe, list or environment containing the variables in the model.
• subset: an optional vector specifying a subset of observations to be used in the fitting process.
• na.action: a function which indicates what should happen when the data contain NAs.
• weights: an optional vector of 'prior weights' to be used in the fitting process.
• offset: this can be used to specify a priori known component to be included in the linear predictor during fitting.
• control: control arguments.
• ...: additional arguments.

Note

zim is very similar to zeroinfl from the pscl package. Both functions can be used to fit observation-driven models for zero-inflated time series.

See Also

zim.fit, zim.control