Zelig website: http://zeligproject.org/

`fn`

R function to call to wrap

`formula`

Zelig formula

`weights`

forthcoming

`name`

name of the Zelig model

`data`

data frame or matrix

`by`

split the data by factors

`mi`

work with imputed dataset

`idx`

model index

`zelig.call`

Zelig function call

`model.call`

wrapped function call

`zelig.out`

estimated zelig model(s)

`setx.out`

set values

`setx.labels`

pretty-print qi

`bsetx`

is x set?

`bsetx1`

is x1 set?

`bsetrange`

is range set?

`bsetrange1`

is range1 set?

`range`

range

`range1`

range1

`test.statistics`

list of test statistics

`sim.out`

simulated qi's

`simparam`

simulated parameters

`num`

number of simulations

`authors`

Zelig model authors

`zeligauthors`

Zelig authors

`modelauthors`

wrapped model authors

`packageauthors`

wrapped package authors

`refs`

citation information

`year`

model is released

`description`

model description

`url`

model URL

`url.docs`

model documentation URL

`category`

model category

`vignette.url`

vignette URL

`json`

JSON export

`ljson`

JSON export

`outcome`

JSON export

`wrapper`

JSON export

`explanatory`

JSON export

`mcunit.test`

unit testing

`with.feedback`

Feedback

`ATT(treatment, treated = 1, quietly = TRUE, num = NULL)`

Generic Method for Computing Simulated (Sample) Average Treatment Effects on the Treated

`cite()`

Provide citation information about Zelig and Zelig model, and about wrapped package and wrapped model

`feedback()`

Send feedback to the Zelig team

`getcoef()`

Get estimated model coefficients

`getpredict()`

Get predicted values

`getqi(qi = "ev", xvalue = "x", subset = NULL)`

Get quantities of interest

`getvcov()`

Get estimated model variance-covariance matrix

`graph()`

Plot the quantities of interest

`help()`

Open the model vignette from http://zeligproject.org/

`packagename()`

Automatically retrieve wrapped package name

`references(style = "sphinx")`

Construct a reference list specific to a Zelig model.

`set(..., fn = list(numeric = mean, ordered = Median, other = Mode))`

Setting Explanatory Variable Values

`sim(num = NULL)`

Generic Method for Computing and Organizing Simulated Quantities of Interest

`simATT(simparam, data, depvar, treatment, treated)`

Simulate an Average Treatment on the Treated

`summarise(...)`

Display a Zelig object

`summarize(...)`

Display a Zelig object

`toJSON()`

Convert Zelig object to JSON format

`zelig(formula, data, model = NULL, ..., weights = NULL, by, bootstrap = FALSE)`

The zelig command estimates a variety of statistical models

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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