skeleton workhorse
Evaluates the deterministic skeleton at a point or points in state space, given parameters. In the case of a discrete-time system, the skeleton is a map. In the case of a continuous-time system, the skeleton is a vectorfield. NB: skeleton just evaluates the deterministic skeleton; it does not iterate or integrate (see flow and trajectory for this).
methods
## S4 method for signature 'pomp' skeleton( object, ..., x = states(object), times = time(object), params = coef(object) )
object: an object of class pomp , or of a class that extends pomp . This will typically be the output of pomp, simulate, or one of the pomp inference algorithms....: additional arguments are ignored.x: an array containing states of the unobserved process. The dimensions of x are nvars x nrep x ntimes, where nvars is the number of state variables, nrep is the number of replicates, and ntimes is the length of times. One can also pass x as a named numeric vector, which is equivalent to the nrep=1, ntimes=1 case.times: a numeric vector (length ntimes) containing times. These must be in non-decreasing order.params: a npar x nrep matrix of parameters. Each column is treated as an independent parameter set, in correspondence with the corresponding column of x.skeleton returns an array of dimensions nvar x nrep x ntimes. If f is the returned matrix, f[i,j,k] is the i-th component of the deterministic skeleton at time times[k] given the state x[,j,k] and parameters params[,j].
Specification of the deterministic skeleton: skeleton_spec
More on pomp workhorse functions: dinit(), dmeasure(), dprior(), dprocess(), emeasure(), flow(), partrans(), pomp-package, rinit(), rmeasure(), rprior(), rprocess(), vmeasure(), workhorses
More on methods for deterministic process models: flow(), skeleton_spec, traj_match, trajectory()