summary.eco: Summarizing the Results for the Bayesian Parametric Model for Ecological Inference in 2x2 Tables

Description

summary method for class eco.

# S3 method for eco
summary(
  object,
  CI = c(2.5, 97.5),
  param = TRUE,
  units = FALSE,
  subset = NULL,
  ...
)

summary.eco yields an object of class summary.eco

containing the following elements:

call: The call from eco.
n.obs: The number of units.
n.draws: The number of Monte Carlo samples.
agg.table: Aggregate posterior estimates of the marginal means of \(W_1\) and \(W_2\) using \(X\) and \(N\) as weights.

If param = TRUE, the following elements are also included:

param.table: Posterior estimates of model parameters: population mean estimates of \(W_1\) and \(W_2\) and their logit transformations.

If units = TRUE, the following elements are also included:

This object can be printed by print.summary.eco

object: An output object from eco.
CI: A vector of lower and upper bounds for the Bayesian credible intervals used to summarize the results. The default is the equal tail 95 percent credible interval.
param: Logical. If TRUE, the posterior estimates of the population parameters will be provided. The default value is TRUE.
units: Logical. If TRUE, the in-sample predictions for each unit or for a subset of units will be provided. The default value is FALSE.
subset: A numeric vector indicating the subset of the units whose in-sample predications to be provided when units is TRUE. The default value is NULL where the in-sample predictions for each unit will be provided.
...: further arguments passed to or from other methods.