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shared utilities between GP_deviance and GP_fit
GP_deviance
GP_fit
sig_invb(X, Y, beta, corr = list(type = "exponential", power = 1.95), nug_thres = 20)
the (n x d) design matrix
the (n x 1) vector of simulator outputs
a (d x 1) vector of correlation hyper-parameters, as described in corr_matrix
corr_matrix
a list of parameters for the specifing the correlation to be used. See corr_matrix.
a parameter used in computing the nugget. See GP_fit.
list with elements delta, L, mu_hat, Sig_invb
# NOT RUN { set.seed(3234) GPfit:::sig_invb( X = matrix((0:10) / 10), Y = runif(11), beta = 1.23) # }
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