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Fit IID Small Area Estimation model using tmbstan.

iid_tmbstan.Rd

Random effects are independent and identically distributed.

Usage

iid_tmbstan(
  sf,
  nsim_warm = 100,
  nsim_iter = 1000,
  chains = 4,
  cores = parallel::detectCores(),
  ii = NULL
)

Arguments

sf

A simple features object with some geometry.

nsim_warm

Number of warmup samples, passed to rstan.

nsim_iter

Number of samples, passed to rstan.

chains

Number of chains, each of which gets nsim_warm + nsim_iter samples, passed to rstan.

cores

Number of cores, passed to rstan, defaults to parallel::detectCores().

ii

The (zero-indexed) indices of the observations held-out.

Examples

constant_tmbstan(mw, nsim_warm = 0, nsim_iter = 100, cores = 2)
#> Error in nrow(sf): object 'mw' not found