Description Usage Arguments Details Value
View source: R/Rfunctions_GC.R
MCMC simulation of the reduced Fourier-form Bayesian DLM with conjugate Inverse-Gamma priors.
1 | fun_to_max_vecchia.st(logparms, var, y, idx, locstime, h, m, ncore)
|
dat |
vector of length T containing a time series of VI data |
blah blah blah
List containing MCMC samples of σ_e^2, σ_w^2, and θ_{1:T} (if save.theta = TRUE
)
mc x 2 matrix containing MCMC samples of σ_e^2 (first column) and σ_w^2 (second column)
if save_value = TRUE
, a T x p x mc array containing MCMC samples of the latent states
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