EpiBayes_ns or EpiBayes_s function of
class eb.
"summary"(object, prob = 0.95, burnin = NULL, n.output = NULL, ...)ebhistorical (e.g., the output of
function EpiBayesHistorical).p2.tilde, p4.tilde, and p6.tilde), the next
containing summary measures for the first ten replicated data sets' gam, and
the rest containing summary measures for the first ten replicated data sets'
tau values (one for each subzone, if applicable).
The summary measurements taken on the posterior distributions include the posterior
mean, standard deviation, standard error of the mean, time-series adjusted standard
error of the mean, and the lower and upper HPD interval limits, in that order.
For reference purposes, below are the descriptions for the summarized variables.| Output | Description |
p2.tilde |
Proportion of simulated data sets that result in the probability of poi prevalence below poi.thresh with probability p1 |
p4.tilde |
Proportion of simulated data sets that result in the probability of poi prevalence above poi.thresh with probability p1 |
p6.tilde |
Proportion of simulated data sets that result in the probability of poi prevalence between poi.lb and poi.ub with probability p1 |
taumat |
Posterior distributions of the cluster-level prevalence for all simulated data sets (i.e., reps) |
gammat |
Posterior distribution of the subzone-level prevalence (3-level) OR Posterior distribution of the probability of the disease being in the region (2-level) |
eb returned by the function
EpiBayes_ns or EpiBayes_s and creates its own class of
object much like the summary method for lm objects.