zim is used to fit zero-inflated models.
zim(formula, data, subset, na.action, weights = 1, offset = 0, control = zim.control(...), ...)
| formula | an objective of class " |
|---|---|
| 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 |
| 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. |
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.