Fit Sampling MVN Small Area Estimation model using R-INLA. — fik_inla • arealutils

Random effects have a multivariate Gaussian distribution with covariance matrix calculated using integrated_covariance.

Usage

fik_inla(
  sf,
  verbose = FALSE,
  L = 50,
  kernel = matern,
  cores = parallel::detectCores(),
  ...
)

Arguments

sf: A simple features object with some geometry.
verbose: Should R-INLA run in mode verbose = TRUE.
L: The number of Monte Carlo samples to draw from each area.
kernel: A kernel function, defaults to matern.
cores: Number of cores, passed to R-INLA, defaults to parallel::detectCores().
...: Additional arguments to kernel.

Examples

fik_inla(mw, cores = 2)
#> Error in nrow(sf): object 'mw' not found