| summary.eco {eco} | R Documentation |
summary method for class eco.
## S3 method for class 'eco':
summary(object, CI = c(2.5, 97.5), param = TRUE,
units = FALSE, subset = NULL, ...)
## S3 method for class 'summary.eco':
print(x, digits = max(3, getOption("digits") - 3), ...)
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. |
x |
An object of class summary.eco. |
digits |
the number of significant digits to use when printing. |
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. |
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. |
param.table |
Posterior estimates of model parameters: population mean estimates of W_1 and W_2 and their logit transformations. |
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
Kosuke Imai, Department of Politics, Princeton University, kimai@Princeton.Edu, http://imai.princeton.edu; Ying Lu, Department of Sociology, University of Colorado at Boulder, ying.lu@Colorado.Edu
eco, predict.eco