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

Methods for finding parameter estimates

Least Squares Regression for Continuous Dependent Variables

Logistic Regression for Dichotomous Dependent Variables

Instrumental-Variable Regression

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