cocoOptim {cocons} | R Documentation |
Estimation of the spatial model parameters based on the L-BFGS-B optimizer [1].
cocoOptim(coco.object, boundaries = list(),
ncores = parallel::detectCores(), optim.control, optim.type)
coco.object |
( |
boundaries |
( |
ncores |
( |
optim.control |
( |
optim.type |
( |
Current implementation only allows a single realization for "pmle"
optim.type
.
(S4
) An optimized S4 object of class coco
.
Federico Blasi
[1] Byrd, Richard H., et al. "A limited memory algorithm for bound constrained optimization." SIAM Journal on scientific computing 16.5 (1995): 1190-1208.
[2] Gerber, Florian, and Reinhard Furrer. "optimParallel: An R package providing a parallel version of the L-BFGS-B optimization method." R Journal 11.1 (2019): 352-358.
## Not run:
model.list <- list('mean' = 0,
'std.dev' = formula( ~ 1 + cov_x + cov_y),
'scale' = formula( ~ 1 + cov_x + cov_y),
'aniso' = 0,
'tilt' = 0,
'smooth' = 3/2,
'nugget' = -Inf)
coco_object <- coco(type = 'dense',
data = holes[[1]][1:100,],
locs = as.matrix(holes[[1]][1:100,1:2]),
z = holes[[1]][1:100,]$z,
model.list = model.list)
optim_coco <- cocoOptim(coco_object,
boundaries = getBoundaries(coco_object,
lower.value = -3, 3))
plot(optim_coco)
print(optim_coco)
getEstims(optim_coco)
## End(Not run)