Usage
.dcFit(data, params, model, inits, n.clones,
multiply = NULL, unchanged = NULL,
update = NULL, updatefun = NULL, initsfun = NULL,
flavour = c("jags", "bugs"),
n.chains=3, cl = NULL, parchains = FALSE, ...)Arguments
data
A named list (or environment) containing the data.
params
Character vector of parameters to be sampled.
It can be a list of 2 vectors, 1st element
is used as parameters to monitor, the 2nd is used
as parameters to use in calculating the data cloning
diagnostics.
model
Character string (name of the model file), a function containing
the model, or a custommodel object (see Examples). inits
Optional specification of initial values in the form of a list or a
function (see Initialization at jags.model).
If missing, will be treated as NULL and initial values will
be gen n.clones
An integer vector containing the numbers of clones to use iteratively.
multiply
Numeric or character index for list element(s) in the data
argument to be multiplied by the number of clones instead of repetitions.
unchanged
Numeric or character index for list element(s) in the data
argument to be left unchanged.
update
Numeric or character index for list element(s) in the data
argument that has to be updated by updatefun in each iterations.
This usually is for making priors more informative, and enhancing
convergence. See Details and Exam
updatefun
A function to use for updating data[[update]].
It should take an 'mcmc.list' object as 1st argument,
2nd argument can be the number of clones.
See Details and Examples.
initsfun
A function to use for generating initial values, inits are
updated by the object
returned by this function from the second iteration. If initial values
are not dependent on the previous iteration, this should be NULL,
other
flavour
If "jags", the function jags.fit is called.
If "bugs", the function bugs.fit is called. n.chains
Number of chains to generate.
parchains
Logical, whether parallel chanins should be run.
...
Other values supplied to jags.fit, or
bugs.fit, depending on the flavour argument.