optimr: Fit 'bdm' model using maxium penalised density

optimrR Documentation

Fit bdm model using maxium penalised density

Description

Execute a Bayesian (MAP) model fit using rstan.

Usage

optimr(object, ...)

## S4 method for signature 'bdm'
optimr(object, data = list(), run = character(), init = "random", ...)

Value

Returns a bdm object containing MAP estimates.

Examples

# 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)


cttedwards/bdm documentation built on Oct. 11, 2022, 7:52 p.m.