Evaluates the prior probability density.
# S4 method for pomp
dprior(object, ..., params = coef(object), log = FALSE)The required density (or log density), as a numeric vector.
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.
a npar x nrep matrix of parameters.
Each column is treated as an independent parameter set, in correspondence with the corresponding column of x.
if TRUE, log probabilities are returned.
Specification of the prior density evaluator: prior_spec
More on pomp workhorse functions:
dinit(),
dmeasure(),
dprocess(),
emeasure(),
flow(),
partrans(),
pomp-package,
rinit(),
rmeasure(),
rprior(),
rprocess(),
skeleton(),
vmeasure(),
workhorses
More on Bayesian methods:
abc(),
bsmc2(),
pmcmc(),
prior_spec,
rprior()