Description Usage Arguments Value References See Also
View source: R/optimizer_biv_hr_model.R
this function optimizes the coefficients of the best fitted linear models
(from the function model_selection
) via bivariate Huesler-Reiss model
and with composite likelihood inference
1 2 3 | optimizer_biv_hr_model(sd_m_select, swe_m_select,
method = "ucminf", follow.on = FALSE,
itnmax = NULL, printParam = FALSE)
|
sd_m_select |
this input should be a list including max_data, covariables and models as in the output of the function |
swe_m_select |
this input should be a list including max_data, covariables and models as in the output of the function |
method |
optimization method(s) for external function |
follow.on |
logical value; if |
itnmax |
if provided as a vector of the same length as the length of |
printParam |
logical value; if |
a list with
complete_sd_max_data |
a completed submatrix of the max_data matrix for sd, where the completation was performed via function |
complete_swe_max_data |
completed submatrix of the max_data matrix for swe, where the completation was performed via function |
summary |
a summary of the optimization results, including an information message whether the optimization was successful or not and which method delivered the best coefficients |
coefficients |
a list with the optimized coefficients. |
Genton, M.G. & Padoan, S.A. & Sang, H. (2015): Multivariate max-stable spatial processes. Biometrika 102(1): 215-230.
http://repository.kaust.edu.sa/kaust/bitstream/10754/552385/1/2013.GPS.Biometrika.Rev_14.pdf
model_selection
, optimizer_biv_ext_t_model
, optimizer_biv_ext_gauss_model
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