ebnm_sgp | R Documentation |
Sparse Gaussian process in EBNM syntax
ebnm_sgp(x, s, g_init = NULL, fix_g = FALSE, output)
x |
A vector of observations. |
s |
A vector of standard errors |
g_init |
a list of X_ind,kernel_param,kernel_func,mu |
fix_g |
If TRUE, the prior is fixed at g_init instead of estimated |
output |
ignore this. |
a list of posterior, log-likelihood, fitted_g
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