jags object represents a Bayesian graphical model
described using the BUGS language.
## S3 method for class 'jags' coef(object, chain=1, ...) ## S3 method for class 'jags' variable.names(object, ...) list.samplers(object)
chain number to query
additional arguments to the call (ignored)
coef function returns a list with an entry for each Node
array that contains an unobserved Node. Elements corresponding to
observed Nodes or deterministic Nodes are given missing values.
variable.names function returns a character vector of
names of node arrays used in the model.
list.samplers function returns a named list with an entry
for each Sampler used by the model. Each list element is a character
vector containing the names of stochastic Nodes that are updated
together in a block. The names of the list elements indicate the
sampling methods that are used to update each block. Stochastic nodes
that are updated by forward sampling from the prior are not listed.
data(LINE) LINE$recompile() coef(LINE) variable.names(LINE) list.samplers(LINE)
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