"abc"(object, Nabc = 1, start, proposal, probes, scale, epsilon, verbose = getOption("verbose"), ...)
"abc"(object, probes, verbose = getOption("verbose"), ...)
"abc"(object, Nabc, start, proposal, probes, scale, epsilon, verbose = getOption("verbose"), ...)
"continue"(object, Nabc = 1, ...)
"conv.rec"(object, pars, ...)
"conv.rec"(object, ...)
"plot"(x, y, pars, scatter = FALSE, ...)
"plot"(x, y, ...)
pomp
.
probe
for details.
TRUE
, draw scatterplots.
If FALSE
, draw traceplots.
abc
object.abc
returns an object of class abc
.
One or more abc
objects can be joined to form an abcList
object.abc
method on a abc
object.
By default, the same parameters used for the original ABC run are re-used (except for tol
, max.fail
, and verbose
, the defaults of which are shown above).
If one does specify additional arguments, these will override the defaults.continue
method.
A call to abc
to perform Nabc=m
iterations followed by a call to continue
to perform Nabc=n
iterations will produce precisely the same effect as a single call to abc
to perform Nabc=m+n
iterations.
By default, all the algorithmic parameters are the same as used in the original call to abc
.
Additional arguments will override the defaults.abc
object:
T. Toni, D. Welch, N. Strelkowa, A. Ipsen, and M. P. H. Stumpf, Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems Journal of the Royal Society, Interface 6:187--202, 2009.
pomp
, probe
, MCMC proposal distributions, and the tutorials on the package website.