Random effects have a multivariate Gaussian distribution with covariance
matrix calculated using centroid_covariance. Kernel hyperparameters
are given a prior and learnt.
Usage
ck_tmb(sf, its = 1000, ii = NULL)
Arguments
- sf
A simple features object with some geometry.
- its
Number of iterations in outer loop optimisation, passed to nlminb.
- ii
The (zero-indexed) indices of the observations held-out.
Examples
ck_tmb(mw, nsim_warm = 0, nsim_iter = 100, cores = 2)
#> Error in ck_tmb(mw, nsim_warm = 0, nsim_iter = 100, cores = 2): unused arguments (nsim_warm = 0, nsim_iter = 100, cores = 2)