Main Zelig Workflow The main functions Zelig’s estimate, set fitted values, simulate, and plot workflow
zelig	Estimating a Statistical Model
setx	Setting Explanatory Variable Values
sim	Generic Method for Computing and Organizing Simulated Quantities of Interest
Estimation Methods (under development) Methods for finding parameter estimates
	Least Squares Regression for Continuous Dependent Variables
	Logistic Regression for Dichotomous Dependent Variables
	Instrumental-Variable Regression
Exterior Interaction Functions Functions for helping Zelig interact with the non-Zelig R world
from_zelig_model	Extract the original fitted model object from a zelig estimation
to_zelig_mi	Bundle Multiply Imputed Data Sets into an Object for Zelig
to_zelig	Coerce a non-Zelig fitted model object to a Zelig class object
zelig_qi_to_df	Extract simulated quantities of interest from a zelig object
qi_slimmer	Find the median and a central interval of simulated quantity of interest distributions
combine_coef_se	Combines estimated coefficients and associated statistics from models estimated with multiply imputed data sets or bootstrapped