optimr | R Documentation |
bdm
model using maxium penalised densityExecute a Bayesian (MAP) model fit using rstan.
optimr(object, ...)
## S4 method for signature 'bdm'
optimr(object, data = list(), run = character(), init = "random", ...)
Returns a bdm
object containing MAP estimates.
# get some data
data(albio)
dat <- bdmData(harvest = albio$catch, index = albio$cpue, time = rownames(albio))
# initialize and fit default model
## Not run:
mdl <- bdm()
mdl <- compiler(mdl)
mdl <- optimr(mdl, dat)
## End(Not run)
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