cocoOptim {cocons} | R Documentation |
Optimizer for coco objects
Description
Estimation the spatial model parameters using the L-BFGS-B optimizer [1].
Usage
cocoOptim(coco.object, boundaries = list(), ncores = "auto", safe = TRUE,
optim.type, optim.control)
Arguments
coco.object |
( |
boundaries |
( |
ncores |
( |
safe |
(
|
optim.type |
( |
optim.control |
( |
Value
(S4
) An optimized S4 object of class coco
.
Author(s)
Federico Blasi
References
[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.
See Also
Examples
## 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))
plotOptimInfo(optim_coco)
plot(optim_coco)
plot(optim_coco, type = 'ellipse')
plot(optim_coco, type = 'correlations', index = c(2,3,5))
summary(optim_coco)
getEstims(optim_coco)
## End(Not run)