summary.ecoML: Summarizing the Results for the Maximum Likelihood Parametric Model for Ecological Inference in 2x2 Tables

Description

summary method for class eco.

# S3 method for ecoML
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.
sem: Whether the SEM algorithm was executed, as specified by the user upon calling ecoML.
fix.rho: Whether the correlation parameter was fixed or allowed to vary, as specified by the user upon calling ecoML.
epsilon: The convergence threshold specified by the user upon calling ecoML.
n.obs: The number of units.
iters.em: The number iterations the EM algorithm cycled through before convergence or reaching the maximum number of iterations allowed.
iters.sem: The number iterations the SEM algorithm cycled through before convergence or reaching the maximum number of iterations allowed.
loglik: The final observed log-likelihood.
rho: A matrix of iters.em rows specifying the correlation parameters at each iteration of the EM algorithm. The number of columns depends on how many correlation parameters exist in the model. Column order is the same as the order of the parameters in param.table.
param.table: Final estimates of the parameter values for the model. Excludes parameters fixed by the user upon calling ecoML. See ecoML documentation for order of parameters.
agg.table: Aggregate estimates of the marginal means of \(W_1\) and \(W_2\)
agg.wtable: Aggregate estimates of the marginal means of \(W_1\) and \(W_2\) using \(X\) and \(N\) as weights.

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: Ignored.
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.