Postsum method for inspecting summary posterior estimates of a Bayesian model

Prints the summary table for the model fitted, with the estimate of the parameters and/or missing values.

Usage

postsum(x, ...)

# S3 method for class 'missingHE'
postsum(x, display = "fixed", digits = 3, ...)

x: A missingHE object containing the results of the Bayesian model run using the function selection(), pattern(), hurdle() or lmdm().
...: additional arguments affecting the output produced. For example: param = JAGS name assigned to the specific model parameters. to be shown in the printed table.
display: Set of parameters for which posterior summaries are displayed. Choices are: fixed effects (fixed), random effects (random), individual log likelihood values (loglik), individual conditional parameter values (conditional) and individual imputed values (mis).
digits: Integer indicating the number of decimal places to be used for rounding (default = 3).

Andrea Gabrio