zim: Fitting Zero-Inflated Models

In ZIM: Zero-Inflated Models (ZIM) for Count Time Series with Excess Zeros

Description

zim is used to fit zero-inflated models.

Usage

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

ZIM documentation built on May 2, 2019, 7:01 a.m.