Evaluates the prior probability density.
# S4 method for pomp
dprior(object, params, ..., log = FALSE)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.
a npar x nrep matrix of parameters.
Each column is treated as an independent parameter set, in correspondence with the corresponding column of x.
additional arguments are ignored.
if TRUE, log probabilities are returned.
The required density (or log density), as a numeric vector.
Specification of the prior density evaluator: prior_spec
More on pomp workhorse functions:
dmeasure(),
dprocess(),
flow(),
partrans(),
rinit(),
rmeasure(),
rprior(),
rprocess(),
skeleton(),
workhorses