imputeCounter {GJRM}

Imputation of Counterfactual

Description

imputeCounter imputes counterfactual missing values for a gjrm model object.

Usage

imputeCounter(x, m = 10, nm.end)

Arguments

x

A fitted gjrm object.

m

Number of imputed response vectors.

nm.end

Name endogenous variable.

Details

This function generates m sets of imputed values for the outcome of interest under a fitted joint causal model. The algorithm draws parameters from the posterior distribution of the model which are then used to obtain simulated responses (from the posterior predictive distribution of the missing values) via a rejection algorithm. The bound for acceptance/rejection is obtained via a trust region optimisation.

The imputed values are used to create m complete imputed datasets and perform complete data analysis and inference about the parameters of interest using any summary statistics.

Value

It returns a list containing m imputed response vectors.

Author(s)

Maintainer: Giampiero Marra [e-mail]

References

Robert C. and Casella G. (2004). Monte Carlo Statistical Methods. New York: Springer-Verlag.

Ripley B. D. (1987) Stochastic Simulation. New York: John Wiley & Sons, Inc.

See Also

gjrm

Examples

## see examples for gjrm