Description Arguments Details Value Methods See Also Examples
Rare Events Logistic Regression for Dichotomous Dependent Variables
formula 
a symbolic representation of the model to be
estimated, in the form 
model 
the name of a statistical model to estimate. For a list of other supported models and their documentation see: http://docs.zeligproject.org/articles/. 
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

... 
additional arguments passed to 
by 
a factor variable contained in 
cite 
If is set to 'TRUE' (default), the model citation will be printed to the console. 
The relogit procedure supports four optional arguments in addition to the standard arguments for zelig(). You may additionally use:
tau
: a vector containing either one or two values for tau
,
the true population fraction of ones. Use, for example, tau = c(0.05, 0.1) to specify
that the lower bound on tau is 0.05 and the upper bound is 0.1. If left unspecified, only
finitesample bias correction is performed, not casecontrol correction.
case.control
: if tau is specified, choose a method to correct for casecontrol
sampling design: "prior" (default) or "weighting".
bias.correct
: a logical value of TRUE
(default) or FALSE
indicating whether the intercept should be corrected for finite sample (rare events) bias.
Additional parameters avaialable to many models include:
weights
: vector of weight values or a name of a variable in the dataset
by which to weight the model. For more information see:
http://docs.zeligproject.org/articles/weights.html.
bootstrap
: logical or numeric. If FALSE
don't use bootstraps to
robustly estimate uncertainty around model parameters due to sampling error.
If an integer is supplied, the number of boostraps to run.
For more information see:
http://docs.zeligproject.org/articles/bootstraps.html.
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,
coef(z.out)
. See
http://docs.zeligproject.org/articles/getters.html for a list of
functions to extract model components. You can also extract whole fitted
model objects using from_zelig_model
.
modcall_formula_transformer()
Transform model call formula.
show(signif.stars = FALSE, subset = NULL, bagging = FALSE)
Display a Zelig object
zelig(formula, data, model = NULL, ..., weights = NULL, by,
bootstrap = FALSE)
The zelig function estimates a variety of statistical models
Vignette: http://docs.zeligproject.org/articles/zelig_relogit.html
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