getHessian: getHessian
In cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
getHessian R Documentation
getHessian
Description
numerically approximate the Hessian. Hessians of parameters based on "pml" are based on full likelihoods.
Usage
getHessian(coco.object, ncores = parallel::detectCores() - 1,
eps = .Machine$double.eps^(1/4))
Arguments
coco.object
(S4) a fitted coco object.
ncores
(integer) number of cores used for the computation.
eps
(numeric) ...
Value
(numeric matrix) a symmetric matrix pxp of the approximated (observed) Hessian
Author(s)
Federico Blasi
cocons documentation built on April 4, 2025, 3:21 a.m.
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| getHessian | R Documentation |
getHessian
Description
numerically approximate the Hessian. Hessians of parameters based on "pml" are based on full likelihoods.
Usage
getHessian(coco.object, ncores = parallel::detectCores() - 1,
eps = .Machine$double.eps^(1/4))
Arguments
coco.object |
|
ncores |
|
eps |
|
Value
(numeric matrix) a symmetric matrix pxp of the approximated (observed) Hessian
Author(s)
Federico Blasi
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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