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Zelig (version 3.5.1)

zelig: Estimating a Statistical Model

Description

The zelig command estimates a variety of statistical models. Use zelig output with setx and sim to compute quantities of interest, such as predicted probabilities, expected values, and first differences, along with the associated measures of uncertainty (standard errors and confidence intervals).

Usage

zelig(formula, model, data, by, save.data, cite, ...)

Arguments

formula
a symbolic representation of the model to be estimated, in the form y ~, x1 + x2, where y is the dependent variable and x1 and x2 are the explanatory variables, and y, x1,
model
the name of a statistical model, enclosed in "". Type help.zelig("models") to see a list of currently supported models.
data
the name of a data frame containing the variables referenced in the formula, or a list of multiply imputed data frames each having the same variable names and row numbers (created by mi).
save.data
If is set to "TRUE", the input dataframe will be saved as an attribute ("zelig.data") of the zelig output object.
cite
If is set to "TRUE" (default), the model citation will be will be printed out when this function is called.
by
a factor variable contained in data. Zelig will subset the data frame based on the levels in the by variable, and estimate a model for each subset. This a particularly powerful option which will allow you to save a considerable
...
additional arguments passed to zelig, depending on the model to be estimated.

Value

  • Depending on the class of model selected, zelig will return an object with elements including coefficients, residuals, and formula which may be summarized using summary(z.out) or individually extracted using, for example, z.out$coefficients. See the specific models listed above for additional output values, or simply type names(z.out).

See Also

The full Zelig manual is available at http://gking.harvard.edu/zelig.