View source: R/summary.ecoML.R
summary.ecoML | R Documentation |
summary
method for class eco
.
## S3 method for class 'ecoML' summary( object, CI = c(2.5, 97.5), param = TRUE, units = FALSE, subset = NULL, ... )
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. |
param |
Ignored. |
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.eco
yields an object of class summary.eco
containing the following elements:
call |
The call from |
sem |
Whether the SEM algorithm was executed, as specified by the user
upon calling |
fix.rho |
Whether the correlation parameter was fixed or allowed to
vary, as specified by the user upon calling |
epsilon |
The convergence threshold specified by the user upon
calling |
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 |
param.table |
Final estimates of the parameter values for the model.
Excludes parameters fixed by the user upon calling |
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:
W.table |
Unit-level estimates for W_1 and W_2. |
This object can be printed by print.summary.eco
ecoML
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