dinit function

dinit workhorse

Evaluates the initial-state density. methods

## S4 method for signature 'pomp'
dinit(
  object,
  ...,
  params = coef(object),
  t0 = timezero(object),
  x,
  log = FALSE
)

Arguments

• 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.
• 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.
• t0: the initial time, i.e., the time corresponding to the initial-state distribution.
• 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.
• log: if TRUE, log probabilities are returned.

Returns

dinit returns a 1-D numerical array containing the likelihoods (or log likelihoods if log=TRUE). By default, t0 is the initial time defined when the pomp object ws constructed.

See Also

Specification of the initial-state distribution: dinit_spec

More on pomp workhorse functions: dmeasure(), dprior(), dprocess(), emeasure(), flow(), partrans(), pomp-package, rinit(), rmeasure(), rprior(), rprocess(), skeleton(), vmeasure(), workhorses