summary
method for class ecoNP
.
1 2 3 4 5 6 |
object |
An output object from |
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 |
digits |
the number of significant digits to use when printing. |
param |
Logical. If |
units |
Logical. If |
subset |
A numeric vector indicating the subset of the units whose
in-sample predications to be provided when |
... |
further arguments passed to or from other methods. |
summary.ecoNP
yields an object of class summary.ecoNP
containing the following elements:
call |
The call from |
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. If |
If unit = 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.ecoNP
Kosuke Imai, Department of Politics, Princeton University, kimai@Princeton.Edu, http://imai.princeton.edu; Ying Lu, Center for Promoting Research Involving Innovative Statistical Methodology (PRIISM), New York University ying.lu@nyu.Edu
ecoNP
, predict.eco
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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