Zelig-class: Zelig reference class
In Zelig: Everyone's Statistical Software

Description Fields Methods

Zelig website: https://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
robust.se: return robust standard errors

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
from_zelig_model(): Extract the original fitted model object from a zelig call. Note only works for models using directly wrapped functions.
get_coef(nonlist = FALSE): Get estimated model coefficients
get_df_residual(): Get residual degrees-of-freedom
get_fitted(...): Get estimated fitted values
get_model_data(): Get data used to estimate the model
get_names(): Return Zelig object field names
get_predict(...): Get predicted values
get_pvalue(): Get estimated model p-values
get_qi(qi = "ev", xvalue = "x", subset = NULL): Get quantities of interest
get_residuals(...): Get estimated model residuals
get_se(): Get estimated model standard errors
get_vcov(): Get estimated model variance-covariance matrix
graph(...): Plot the quantities of interest
help(): Open the model vignette from https://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)): 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 function estimates a variety of statistical models