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## options <- optimiDefaultOptions()
SCGoptim(x, fn, grad, options, ...)
CGoptim(x, fn, grad, options, ...)
modelOptimise(model, options, ...)
optimiDefaultOptions
. The fields are interpreted as\
option[1] : number of iterations\
option[2] : interval for the line search\
option[3] : tolerence for x to terminate the loop\
optmodelObjective, modelGradient
## Not run to speed up package checks
# model <- GPLearn(..., dontOptimise=TRUE)
# options <- optimiDefaultOptions()
# model <- modelOptimise(model, options)
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