Summarise model outputs contained in sefraOutputs object. Posterior mean and quantile values are calculated across iterations:
mean - mean
mq - median quantile
lq - lower 95% quantile
up - upper 95% quantile
Prefixes are used to identify the type of data:
emp - empirical (observed) value
hat - expected value
sim - value simulated using posterior prediction
Usage
# S4 method for class 'sefraOutputs'
summary(object, ...)Arguments
- object
object of class
sefraOutputs.- ...
generic function argument (not used)