summary.eco: Summarizing the Results for the Bayesian Parametric Model for...

Description Usage Arguments Value Author(s) See Also

View source: R/summary.eco.R

Description

summary method for class eco.

Usage

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

Arguments

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.

Value

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:

W1.table

Unit-level posterior estimates for W_1.

W2.table

Unit-level posterior estimates for W_2.

This object can be printed by print.summary.eco

Author(s)

Kosuke Imai, Department of Politics, Princeton University, [email protected], http://imai.princeton.edu; Ying Lu, Center for Promoting Research Involving Innovative Statistical Methodology (PRIISM), New York University [email protected]

See Also

eco, predict.eco


eco documentation built on Aug. 1, 2017, 9:02 a.m.

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