mcl.HCAR: The Monte Carlo likelihood function of the HCAR model.
In mclcar: Estimating Conditional Auto-Regressive (CAR) Models using Monte Carlo Likelihood Methods

Evaluate the Monte Carlo likelihood of a hierarchical conditional-autoregressive model at a given parameter value and importance sampler value.

1	mcl.HCAR(pars, mcdata, data, Evar = FALSE)

`pars`	parameter values at which the Monte Carlo likelihood function to be evaluated
`mcdata`	The Monte Carlo sample object returned by the function `sim.HCAR`
`data`	A list or an environment containing the same variables same as the input for `sim.HCAR,`
`Evar`	If true, the Monte Carlo variance is evaluated.

`mc.lr`	the Monte Carlo likelihood
`v.lr`	if Evar = TRUE, the Monte Carlo variance of the likelihood is also returned

mclcar documentation built on Jan. 8, 2022, 5:07 p.m.

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