Sample from the prior probability distribution.
# S4 method for pomp
rprior(object, ..., params = coef(object))A numeric matrix containing the required samples.
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.
Specification of the prior distribution simulator: prior_spec
More on pomp workhorse functions:
dinit(),
dmeasure(),
dprior(),
dprocess(),
emeasure(),
flow(),
partrans(),
pomp-package,
rinit(),
rmeasure(),
rprocess(),
skeleton(),
vmeasure(),
workhorses
More on Bayesian methods:
abc(),
bsmc2(),
dprior(),
pmcmc(),
prior_spec